Enterprises face growing strain to modernize their information stacks. Groups want to maneuver away from legacy ETL programs and sophisticated on-premises platforms and shift towards less complicated, scalable architectures. Many organizations nonetheless depend on handbook code conversion, fragmented information pipelines, and time-consuming validation steps. These gradual migration timelines make it more durable to undertake AI.
Accomplice-built GenAI accelerators now assist take away this overhead. Databricks companions use Agent Bricks to construct AI brokers that generate SQL and Python code, validate pipeline logic, and recommend enhancements. These brokers learn current workloads and produce schema mappings, migration scripts, and optimized pipelines that run on the Databricks Information Intelligence Platform. This provides engineers a sooner path to parity and lets groups concentrate on structure as a substitute of repetitive operational work.
This weblog highlights two classes of accomplice options.
- GenAI Accelerators for Information Engineering: These accelerators automate frequent information engineering duties. Companions constructed programs that learn supply information, create pipeline scaffolding, generate transformation logic, and validate information high quality. Some help pure language prompts so analysts and engineers can describe duties in plain language. The purpose is straightforward. Scale back the time wanted to construct and keep pipelines and enhance consistency throughout groups.
- GenAI Accelerators for Information and Platform Migration: These options help clients transferring from legacy ETL and information warehouse instruments. Accelerators parse current jobs, determine dependencies, convert code to Databricks, and validate outputs. They assist groups migrate sooner, cut back hand-built conversions, and keep accuracy throughout giant transitions.
Greater than twenty companions ship these options. Present companions embrace Blend360, Blueprint, Celebal Applied sciences, Cognizant, Elastacloud, Entrada, EXL, EY, Hexaware, Indicium, Infogain, Infosys, Perception, Koantek, LTIMindtree, Persistent Techniques, Shorthills, Slalom, TCS, Tiger Analytics, Wipro, Xebia, zeb, and Zensar.
Accomplice accelerators give groups a sensible strategy to modernize at scale. In addition they assist organizations begin utilizing GenAI in components of the information lifecycle that profit most from automation. With Databricks and our accomplice ecosystem, enterprises acquire a unified platform and a rising set of AI-driven instruments that shorten supply time and enhance engineering outcomes.
GenAI Accelerators for Information Engineering
Databricks GenAI Accomplice Accelerators for Information Engineering empower organizations to modernize and scale their information operations with pace and intelligence. Main Databricks companions have constructed these accelerators utilizing Databricks AI and Agent Bricks that mix superior generative AI capabilities with confirmed information engineering frameworks to automate complicated duties similar to information ingestion, transformation, and pipeline optimization. These accelerators help pure language interfaces, additional simplifying the work for personas similar to information analysts, information engineers and information scientists. By leveraging AI-driven insights and prebuilt resolution templates, enterprises can cut back growth cycles, guarantee information high quality, and speed up time-to-value throughout their trendy information stacks. These accelerators signify a brand new period of clever information engineering the place automation meets innovation- enabling groups to concentrate on outcomes as a substitute of operations. The next accomplice choices assist with information engineering duties similar to constructing and modifying information pipelines, information modeling, performing information transformations and validating information high quality:
Blend360 Trellis IQ
Trellis IQ is Blend360’s scalable agentic AI resolution for high-volume information administration, constructed on Databricks. It deploys clever brokers that coordinate information wrangling, harmonisation, and stewardship duties, integrating seamlessly with current programs. The platform transforms unstructured transaction information into analysis-ready datasets by treating inconsistent product names, multilingual entries, and schema variations as pure language issues. Leveraging LLMs for contextual understanding, it operates 102x sooner than handbook processes at 550 information per minute with >90% accuracy. For one international CPG producer, Trellis IQ cleared a 7-year harmonisation backlog in 7 days whereas lowering OpEx prices.
Blueprint Lakehouse Optimizer
The Lakehouse Optimizer by Blueprint is an Augmented FinOps platform that transforms how enterprises handle price, efficiency, and governance throughout their lakehouse. Constructed on the Databricks ecosystem, together with Unity Catalog, Delta Dwell Tables, and Workflows, it simplifies spend evaluation, job optimization, and forecasting. With clever suggestions, unhealthy spend detection, automated alerts, and government insights, LHO turns complicated telemetry into clear actions. Organizational mapping and AI-driven optimization assist groups lower whole price of possession by 30%, increase efficiency, and reinvest financial savings into high-impact initiatives whereas sustaining governance, compliance, and scalable operations.
Learn this weblog to learn the way the Lakehouse Optimizer helps you maximize your Databricks funding by aligning price, efficiency, and governance right into a unified optimization framework.
Celebal Applied sciences Eagle Eye – Information Observability Accelerator
Eagle Eye by Celebal Applied sciences is a Databricks Brickbuilder Accelerator that delivers AI-powered information observability, anomaly detection, and lineage monitoring throughout the Lakehouse structure. It constantly screens pipelines, validates high quality, and detects hidden drifts utilizing ML and LLM capabilities—going past static guidelines to flag inconsistencies earlier than they impression analytics or AI outcomes. Built-in with Unity Catalog, Eagle Eye offers interactive lineage views and actionable alerts that guarantee information transparency, compliance, and accountability throughout industries from banking to retail, remodeling observability into intelligence and enabling enterprises to make assured selections with clear, trusted, and auditable information at scale.
Learn this weblog to learn the way Eagle Eye ensures your information is all the time dependable, well timed, and actionable.
Elastacloud Chat QnA
Elastacloud’s Chat QnA Accelerator allows groups to question distributed enterprise information via pure language conversations. Constructed on Databricks AI, it connects to databases, information lakes, and SaaS instruments with out requiring information migration. The answer options an assumptions engine that mechanically maps schemas, relationships, and enterprise guidelines, eliminating technical limitations for non-technical customers. It generates visualizations, maintains full governance via Unity Catalog, and ensures all responses are explainable and auditable. Customers obtain context-aware solutions with citations whereas respecting current permissions. Typical deployment takes three to 6 weeks, democratizing information entry and lowering analyst workload whereas sustaining enterprise safety and compliance requirements.
Learn this weblog to learn the way Chat QnA lets your crew chat immediately together with your information, regardless of the place it lives.
EXL EXLdata.ai
EXLdata.ai is an agentic AI-native information resolution designed to sort out the #1 barrier to AI adoption: fragmented, unstructured, and non-AI-ready information. This Databricks powered resolution embeds intelligence into each stage of the information lifecycle—modernization, governance, and administration, and offers an open structure for seamless integration into all of the hyperscalers and Databricks. The outcomes pushed are to remodel information into trusted, AI-ready inputs that gasoline smarter, sooner enterprise selections. The EXL.information.ai resolution additionally converts fragmented enterprise information into ruled, AI-ready belongings, rushing up time-to-insight and enabling assured decision-making throughout operations, finance, and buyer engagement.
Learn this press launch to learn the way EXLdata.ai helps to resolve enterprises’ greatest problem in making information prepared for AI.
EY Information Fusion
EY’s Information Fusion is a cloud-native, AI-driven information administration resolution constructed on Databricks’ Information Intelligence Platform to fulfill the complicated information and analytics calls for of monetary establishments. It simplifies information processing and delivers trusted, AI-ready information via an intuitive interface. By leveraging Unity Catalog, scalable compute, and built-in ML and GenAI capabilities, Information Fusion seamlessly handles large-scale information and AI workloads whereas guaranteeing strong efficiency, governance, and compliance. Superior AI options—similar to automated information high quality checks, PII/PCI detection, pure language-based information mapping and exploration — increase effectivity and improve information belief throughout the enterprise.
Watch this video to find how EY Information Fusion allows environment friendly information administration and delivers trusted, AI-ready information for monetary establishments.
Infosys DE.AI
Infosys DE.AI is an AI-powered Professional Code DevX accelerator designed for the Databricks ecosystem. Working as an clever pair programmer, it streamlines information engineering workflows by helping with information migration, ELT/ETL growth, code optimization, and DevOps integration. Embedded within the information engineering lifecycle, DE.AI makes use of customized MCP connectors to generate, refactor, and optimize PySpark, SQL, and DLT code with context-aware strategies. Its Auto Migrator allows autonomous migration journeys, changing legacy programs like Informatica XML to Databricks via intuitive prompts and slash instructions. Seamlessly built-in with Databricks Asset Bundles, Unity Catalog, and Delta Dwell Tables, DE.AI ensures ruled, scalable enterprise deployments.
Learn this POV to learn the way agentic AI transforms the lifecycle by offloading nearly all of efforts to clever brokers.
LTIMindtree SSIS to PySpark Migration
LTIMindtree’s SSIS-to-PySpark Migration Answer automates the transformation of legacy SSIS packages into scalable PySpark pipelines on Databricks. Utilizing a multi-agent structure orchestrated via LangGraph, it handles evaluation, logic conversion, and documentation whereas preserving enterprise intent. The modular design presents flexibility for integration with various orchestration frameworks, enabling seamless adaptation. By changing 1000’s of complicated, undocumented packages right into a repeatable course of, LTIM accelerates modernization, reduces danger, and ensures precision and traceability all through migration.
Learn this weblog to learn the way this accelerator leverages AI brokers orchestrated via frameworks like LangGraph to construct an clever, modular migration utility.
Persistent Techniques iAURA Information Observability
Information high quality points, inconsistent reconciliations, and rancid or delayed information proceed to undermine belief in analytics. iAURA Information Observability, constructed natively on the Databricks Lakehouse, offers steady, clever monitoring of information high quality, reconciliation, and freshness throughout pipelines. It mechanically detects schema drift, anomalies, and inconsistencies earlier than they have an effect on downstream insights. With adaptive studying, it refines high quality thresholds with out handbook intervention and shifts groups from reactive troubleshooting to proactive, insight-driven operations. Automated reconciliation and unified information well being dashboards allow sooner subject decision and lowered reliance on handbook checks. Organizations adopting iAURA have seen 30–40% fewer information high quality incidents and considerably improved confidence in analytics and AI outcomes.
Learn this weblog to learn the way this accelerator constantly screens information high quality, reconciliation, and freshness.
Persistent Techniques iAURA Information Modeler & Mapper
Organizations modernizing on the Databricks Lakehouse usually wrestle with inconsistent information definitions, gradual mannequin growth, and restricted agility as enterprise wants evolve. iAURA Information Modeler & Mapper addresses these challenges via Agentic AI–pushed automation. It connects to supply programs or ingests schema information, mechanically figuring out entities, attributes, relationships, and metadata—lowering handbook discovery and mapping effort by 40–50%. iAURA then proposes optimized information warehouse schema designs, together with reality/dimension constructions and source-to-target mapping with transformation logic. It additional accelerates KPI standardization by 35–45% and generates full documentation and ER diagrams. The result’s a sooner, constant, and business-aligned modeling expertise on Databricks.
Learn this weblog to learn the way this accelerator automates schema mapping and transformation logic.
Slalom LakeSpeak – An MCP Consumer with Genie Assist
Slalom’s LakeSpeak is a production-ready accelerator that brings graph intelligence to the Databricks Lakehouse with native Genie (MCP) help. It allows AI brokers to motive throughout relationships, metrics, and real-time information utilizing pure language — delivering intelligence that’s correct, contextual, and explainable throughout the enterprise.
Learn this weblog to discover ways to activate Databricks intelligence in each workflow.
TCS Agentic Ops
TCS Agentic Ops automates incident identification and determination to enhance operational effectivity. This scalable AI resolution extracts info from incidents and logs, classifies points, offers tailor-made suggestions, and autonomously implements fixes. Constructed on Databricks, the brokers are simply configurable and adaptable to evolving information landscapes. Organizations can cut back operational overhead by 30-40% whereas gaining better visibility and management over incident administration, enabling sooner, extra agile responses to important points.
Tiger Analytics Clever Information Categorical (IDX)
Tiger Analytics developed Clever Information Categorical (IDX), an AI-powered, metadata-driven accelerator for Databricks Lakehouse modernization (from ingestion, transformation, DQ to perception era). This multi-layered resolution combines a Databricks Lakehouse basis with reusable micro-services and twin person experiences (net UI + conversational agent). IDX allows ruled self-service and AI automation throughout the information lifecycle, accelerating Lakehouse and data-product supply by 40%+. Its core innovation is deep Generative AI embedding. An agentic AI layer (constructed on Agent Bricks) powers automated supply evaluation, data extraction, AI-driven data-quality inference, and computerized pipeline metadata era from pure language. IDX additionally transpiles legacy SQL/ETL to optimized PySpark/Spark-SQL and presents a conversational Information Engineering co-pilot, remodeling modernization into an clever, steady functionality.
Learn this weblog to be taught extra about how IDX makes information platforms sooner to construct, simpler to handle, and prepared for intelligence.
Tiger Analytics iDEA (Clever Information Engineering Agent)
iDEA (Clever Information Engineering Agent) by Tiger Analytics is an AI-powered accelerator that transforms how enterprises engineer, handle, and devour information on the Databricks Lakehouse. Constructed for each Information Engineers and Enterprise Customers, iDEA offers a unified conversational interface that bridges technical precision with enterprise agility. iDEA automates each stage of the information product journey from ingestion, transformation, high quality validation, and governance to discovery, analytics, and visualization. By understanding pure language intent, iDEA intelligently orchestrates workflows, enforces compliance, and delivers actionable insights immediately, empowering organizations to automate the entire Information Product Lifecycle end-to-end.
Learn this weblog to learn the way this accelerator brings agentic intelligence to the Databricks Lakehouse, remodeling how groups construct, handle, and belief information.
Tiger Analytics Automated Information High quality (ADQ)
Tiger Analytic’s Augmented Information High quality (ADQ), powered by Generative AI, transforms handbook, reactive information high quality processes into proactive belief. Its superior “Agentic Structure” mechanically profiles information, enriches metadata, and recommends complicated DQ guidelines in minutes. ADQ strikes past easy checks to carry out superior anomaly detection, figuring out business-centric microsegments and flagging outliers with pure language explanations. This framework saves > ~60% in handbook effort, constructing a brand new basis of information belief and reimagining information governance.
Learn this weblog to learn the way this framework makes use of Generative AI to detect anomalies, suggest dynamic guidelines, and construct a basis of information belief.
zeb Agentic MDM for FSI
zeb’s Agentic MDM for Monetary Companies accelerator automates and unifies fragmented information reconciliation utilizing agentic AI on the Databricks Lakehouse. It consolidates funds, securities, counterparties, and shopper information right into a single supply of fact whereas guaranteeing compliance with Basel III, Dodd-Frank, and GDPR. With Unity Catalog for safety and governance, it reduces handbook reconciliation efforts by as much as 90% and allows AI-ready information for danger administration and innovation.
Learn this weblog to learn the way this accelerator brings agent-driven perception, automated entity unification, and centrally ruled mastering into one streamlined framework.
zeb Retail Agentic Information Activation
zeb’s Retail Agentic Information Activation accelerator, powered by the Databricks Information Intelligence Platform, helps retailers and client items firms standardize vendor and provider information into constant schemas. Utilizing agentic AI for clever content material interpretation and zero-code pipeline era, it accelerates onboarding and ensures information high quality. Constructed with Unity Catalog for governance, the answer delivers as much as 90% sooner onboarding and enhanced information accuracy throughout hundreds of thousands of SKUs.
Learn this weblog to learn the way this accelerator transforms various vendor and producer feeds right into a unified and dependable product information basis.
GenAI Accelerators for Information and Platform Migration
Information migration is the method of transferring information between completely different programs, storage codecs, or cloud environments. In an AI-first world, that is not simply an IT chore—it is a foundational enterprise crucial. Synthetic intelligence and machine studying fashions are essentially depending on huge portions of high-quality, accessible information for coaching and producing correct insights. Legacy programs usually preserve helpful information locked in inefficient silos, making it unusable for contemporary analytics. Migrating this information to trendy, scalable cloud platforms is the important first step to unlocking its potential, guaranteeing it’s clear, consolidated, and able to gasoline highly effective AI-driven innovation.
Nonetheless, legacy information and platform migrations are notoriously complicated, gradual, and costly. We’re thrilled to introduce a brand new period of effectivity with GenAI Accelerators for Information and Platform Migration from migration companions. Our main consulting and system integrator companions are leveraging generative AI to automate complicated duties like SQL and ETL code conversion, and deploying agentic AI options to intelligently orchestrate workflows and validate information autonomously. This groundbreaking strategy is already delivering unimaginable outcomes, enabling organizations to speed up their migration timelines by as much as 70% and cut back handbook effort by greater than 50%. Say goodbye to migration bottlenecks and good day to a wiser, sooner, and less expensive path to modernization.
Say goodbye to migration bottlenecks and good day to a wiser, sooner, and less expensive path to modernization with migration accelerators listed beneath:
Cognizant Cloud Information Migration Manufacturing unit
Cognizant’s Cloud Information Migration Manufacturing unit streamlines migration of legacy programs to the Databricks Information Intelligence Platform utilizing superior information engineering, NLP, and pre-trained LLMs. This generative AI-powered co-pilot enhances code high quality, accelerates decision-making, and automates the modernization course of via a confirmed end-to-end methodology. The answer reduces migration prices by 40–60%, strengthens safety with Unity Catalog integration, and accelerates AI-driven analytics for smarter insights. Organizations obtain sooner undertaking completion, improved accuracy, and important productiveness good points whereas transitioning huge software and database portfolios to cloud platforms aligned with their enterprise aims.
Take a look at this extra touchdown web page to be taught extra about how Cognizant revolutionizes the journey from insights to analytics throughout the information worth chain.
Entrada SASquatch
Going through excessive SAS prices, restricted scalability, and sophisticated compliance wants, organizations wrestle with trendy AI adoption. Guide migration to Databricks is dangerous, usually failing resulting from proprietary code and hidden dependencies. Entrada’s SAS-to-Databricks Accelerator delivers a wise, speedy, and cost-effective resolution. It automates code translation, dependency mapping, and information optimization, attaining migrations as much as 80% sooner. The accelerator modernizes workloads on Databricks’ open platform, lowering Complete Price of Possession and eliminating licensing charges. It ensures 100% compliance through Unity Catalog and options self-healing mechanisms, empowering organizations to unlock superior analytics and AI at scale.
Learn this weblog to learn the way SASquatch delivers a wise, speedy, and cost-effective path ahead.
EXL Code HarborTM: SAS to Databricks Migration Accelerator
EXL’s Code HarborTM is a GenAI resolution that automates the migration of legacy codebases to trendy open-source languages and cloud platforms like Databricks. Specializing in SAS-to-Databricks transformation, it additionally helps BTEQ, HQL, PL/SQL, SQL Server, R, and ETL platforms, together with Informatica, Alteryx, and DataStage. Designed for insurance coverage, banking, and healthcare sectors, Code Harbor combines EXL’s area experience with AI capabilities whereas supporting on-premises, cloud, and hybrid environments. A world insurance coverage supplier achieved 50% sooner SAS migration to Databricks utilizing Code Harbor, with minimal handbook intervention, enhanced compliance via complete metadata documentation, and seamless governance framework integration.
Learn this press launch to learn the way this accelerator helps enterprises streamline their transition from SAS to Databricks to help enhanced cloud modernization initiatives.
Hexaware Amaze Migration Accelerator
Speed up your journey from legacy SAS to trendy PySpark with AMAZE, Hexaware’s Migration Accelerator, powered by the Databricks Information Intelligence Platform. This AI-driven resolution automates the end-to-end conversion of SAS workloads into optimized, cloud-native PySpark notebooks—lowering migration timelines by as much as 80%. With GenAI and LLM-powered automation, AMAZE delivers as much as 5X sooner conversion pace, 70% out-of-the-box accuracy, and considerably decrease whole price of possession. Enterprises profit from modularized, maintainable code and scalable analytics capabilities. By modernizing on Databricks, organizations unlock a unified information basis, simplify operations, and speed up their AI and analytics transformation with a cloud-native strategy constructed for scale.
Learn this flyer to discover ways to make the swap to Python for higher AI readiness.
Indicium AI Migration Brokers (Prompt2Pipeline)
Migrating to Databricks not must be a posh or time-consuming course of. Indicium’s AI Migration Brokers (Prompt2Pipeline) mix generative AI and Agentic automation to interpret legacy code and enterprise logic, remodeling them into Databricks-native, high-performance pipelines — as much as 7 occasions sooner. The answer accelerates modernization throughout industries, enhancing governance, efficiency, and value effectivity, whereas enabling enterprises to maneuver seamlessly from information debt to information intelligence on the Databricks Information Intelligence Platform.
Learn this weblog to be taught extra about how Prompt2Pipeline is accelerating modernization with AI migration brokers.
Infogain iRAPID SAS to Databricks Migration Accelerator
Say goodbye to costly, siloed SAS environments. Infogain is partnering with Databricks, via their Brickbuilder Accelerator iRAPID: SAS to Databricks – PySpark Migration suite, to revolutionize information modernization, changing complicated SAS procedures, EGP information, and macros into scalable PySpark code utilizing GenAI automation. Their confirmed framework delivered gorgeous outcomes: migrations that when took months now accomplished 50% sooner with 95% accuracy.
Learn this weblog to learn the way Infogain helps you unlock real-time analytics, deal with every thing from stock evaluation to automated validation, and scale via a cloud-native, open platform.
Perception Agentic Information Architect & Modeler
Perception Agentic Information Architect & Modeler (ADAM) is a modular resolution leveraging AI and LLMs on Databricks to simplify information integration, modeling, and governance. Automated brokers deal with schema discovery, metadata enrichment, and information mannequin creation, lowering handbook work and accelerating outcomes. The framework contains enterprise person workflows for metadata evaluation and approval, guaranteeing information high quality and compliance. It helps safe operations together with HIPAA/PHI necessities with versatile deployment choices. Constructed on Databricks Agent Bricks, Perception Adam allows speedy information platform modernization, sooner analytics, and better agility whereas sustaining robust governance, enterprise catalog integration, and steady pipeline enchancment.
Koantek X2D Migration Accelerator
X2D is Koantek’s AI-driven migration accelerator, remodeling legacy information ecosystems into the Databricks Lakehouse in weeks, not years. Utilizing agentic AI and clever routing, X2D delivers 80% automated code conversion, lowering migration timelines by 60%. The platform combines AI-powered transpilation with Databricks Lakebridge integration, supporting 30+ information platforms, orchestration instruments, and BI sources. SOC2/GDPR compliant, X2D’s enterprise-grade options embrace clever wave planning for enterprise continuity, parallel validation guaranteeing zero information loss, and Unity Catalog-native governance. Koantek has migrated petabyte-scale environments utilizing X2D in underneath 12 weeks for Fortune 500 enterprises, delivering fast ROI via lowered operational prices and accelerated time-to-insight.
Learn this weblog to discover ways to migrate legacy EDW/ETL to the Databricks Lakehouse 3x sooner with ~60% decrease price and near-zero danger.
LatentView MigrateMate
LatentView MigrateMate is an automatic, platform-agnostic information migration resolution that makes it easy to maneuver your most beneficial information from on-premise programs to the cloud. Function-built for modernization, MigrateMate integrates seamlessly with Databricks to ship a easy, end-to-end migration right into a safe and scalable lakehouse basis prepared for analytics, AI, and governance. By combining automation, information deduplication, and clever optimization, MigrateMate helps organizations lower migration prices by 30% to 40% whereas sustaining information high quality and integrity. Its Databricks-enabled workflows bridge system compatibility gaps and speed up time to perception, turning complicated migrations into a quick, dependable, and value-driven transformation journey.
Learn this weblog to learn the way MigrateMate incorporates GenAI for discovery, conversion, and automatic validation.
LTIMindtree Scintilla.ai (SAS to Python/PySpark Migration)
Fashionable companies have to migrate from costly, rigid SAS programs to scalable cloud platforms like Databricks, however handbook code conversion is gradual and dangerous. LTIMindtree’s Scintilla.ai presents an clever, automated resolution utilizing a multi-agent system that analyzes SAS code, converts it to optimized PySpark, and validates outcomes for accuracy. This preserves enterprise logic whereas lowering handbook effort by 80%. The platform integrates seamlessly with Databricks and Unity Catalog, enabling organizations to retire pricey SAS licenses and embrace cloud agility confidently, remodeling complicated migrations into managed, environment friendly transitions.
Learn this weblog to be taught extra and go to this web page for added particulars concerning the accelerator.
Persistent Techniques iAURA Agentic ETL & DWH Migration
Modernizing legacy ETL and information warehouses is complicated resulting from tightly coupled pipelines, undocumented logic, and large-scale information validation wants. iAURA Agentic ETL and DWH Migration, constructed natively on the Databricks Lakehouse, streamlines this course of utilizing GenAI and agentic automation. It helps migrations from platforms like Oracle, Teradata, Informatica, DataStage, SAS, Snowflake, and extra. iAURA mechanically parses legacy ETL code, extracts enterprise guidelines, maps dependencies, and generates Databricks-native pipelines in PySpark, SQL, or Delta Dwell Tables. Automated information reconciliation ensures accuracy and parity. Enterprises obtain 30–50% sooner migration, decrease prices, and a smoother, extra dependable modernization journey to Databricks.
Learn this weblog to learn the way iAURA assist enterprises modernize with intelligence, automation, and pace on the Databricks Information Intelligence Platform.
Shorthills AI KodeBricks
KodeBricks by Shorthills AI is a Generative AI accelerator constructed on Databricks that automates information pipeline creation and migrates information and ETL scripts to Databricks. Utilizing Vibe Coding, it permits builders to offer directions in plain, conversational English, which KodeBricks then converts into production-ready pipelines. By automating duties like cluster setup, pipeline era, and governance, KodeBricks cuts down time spent on handbook configurations, releasing as much as 50% time spent on these important non-coding duties. It writes high-quality and environment friendly Spark code from intent and Databricks SQL and creates structured notebooks staying throughout the developer’s IDE. This ends in sooner, error-proof supply, improved productiveness, and better effectivity throughout your group.
Learn this weblog to learn the way Shorthills AI’s KodeBricks helps you construct sooner, smarter, and extra environment friendly pipelines.
Wipro Legacy Modernization Instrument
Wipro’s Legacy Modernization Instrument, powered by Azure Databricks, reimagines enterprise transitions from legacy programs like SAS to trendy open-source ecosystems. The platform automates SAS-to-Python and SAS-to-PySpark conversion with excessive accuracy, delivering detailed code insights, syntax validation, lineage monitoring, and production-ready outputs with minimal handbook effort. AI-powered brokers mechanically detect and proper logical errors in SAS information steps, macros, procedures, and features. Constructed on Azure Databricks, it offers scalable compute for evaluation, debugging, conversion, and documentation. The answer accelerates modernization, reduces migration complexity, and preserves current SAS asset worth whereas enabling sooner innovation.
Xebia Agentic Information Pipeline Migrator
Xebia’s Agentic Information Pipeline Migrator accelerates migrations to Databricks by automating SQL and ETL modernization utilizing a multi-agent framework powered by Databricks-native LLMs. The migrator analyzes supply workloads from Snowflake, Redshift, BigQuery, Postgres, MySQL, and SQL Server, then interprets, validates, and rebuilds them as optimized Databricks pipelines. Groups obtain a totally auditable report that preserves logic, lineage, and efficiency. What as soon as required weeks of handbook recoding now completes in hours, lowering danger and offering organizations with a quick and dependable path into Databricks.
Learn this case examine to be taught extra on how Xebia helped Modernize a World E-Commerce Information Pipeline with Agentic AI on Databricks.
Zensar Applied sciences ZenseAI.Information
Fashionable enterprises have to simplify information ecosystems and unlock worth trapped in legacy ETL and EDW platforms. ZenseAI.Information, Zensar’s next-gen accelerator, automates migrations to the Databricks Information Intelligence Platform—lowering timelines by 30–40%. It delivers structured, clear modernization with automated lineage, code translation, and validation, guaranteeing compliance and predictability. Past migration, ZenseAI.Information allows unified, ruled information foundations for AI-ready architectures, real-time insights, and industry-specific outcomes. Along with Databricks, it lays the groundwork for agentic AI, empowering enterprises to monetize information, drive automation, and scale innovation.
Learn this weblog to learn the way Zensar streamlines and automates migrations from legacy programs to Databricks.
Streamline Information Engineering and Migration
The period of GenAI and Agentic AI is right here, and accomplice options and accelerators for information engineering and migration constructed on the Databricks Information Intelligence Platform are key to eradicating the undifferentiated heavy lifting required by information professionals. By leveraging these purpose-built accelerators, firms can empower their information engineers to be extra productive and focus their efforts on high-value information engineering duties. Whether or not you are seeking to enhance effectivity of your information engineering crew or pace up migration efforts to Databricks, our companions are prepared that can assist you speed up your information, analytics and AI journey.
Keep tuned for the following weblog within the sequence, the place we are going to share GenAI accomplice options aligned to industry-specific outcomes. The primary weblog within the sequence launched cross-industry accelerators for Agentic AI, GenAI and LLMOps.
Get began with Brickbuilder Options
At Databricks, we regularly collaborate with system integrators and consulting companions to allow extra use instances throughout information, analytics, and AI. Wish to get began? Along with Agentic AI Techniques, Cross-Trade GenAI Use Circumstances, Cross-Trade GenAI Frameworks, and LLMOps Accelerators, take a look at our full set of accomplice options and accelerators on the Databricks Brickbuilder web page.
Create a Brickbuilder for the Databricks Information Intelligence Platform
Brickbuilders are a key element of the Databricks Accomplice Program and acknowledge companions who’ve demonstrated a singular potential to supply differentiated information, analytics, and AI options and accelerators together with their growth and deployment experience.
Companions who’re desirous about studying extra about easy methods to create a Brickbuilder Answer or Accelerator are inspired to e-mail us at [email protected].
