Databricks services
Databricks services for data platforms and analytics
Databricks services cover the design, build and running of data platforms and analytics on Databricks, with the pipelines, data quality and reporting around them. HabileLabs is a Databricks partner, and Databricks is the data platform we work with most. We also work with Microsoft Fabric and the AWS data stack.
- Databricks partner
- Microsoft Solutions Partner, Data & AI (Azure)
- Workshops before any build

What we build
What our data practice builds, on Databricks and around it
We use Databricks for analytics and as a data platform, and the data practice does the engineering around it, from the first pipeline to the reports and models that use the data.
Data platform design
Data lakes, data warehouses or hybrid models, designed around your business goals.
Pipelines and ETL
Data from many sources brought into one platform, transformed and loaded reliably, including real-time streaming.
Big data processing
Large data volumes processed with Apache Spark, Hadoop and Flink.
Data quality and governance
Frameworks that keep data accurate, complete and secure, so decisions rest on trusted information.
Analytics and BI
Dashboards and analytics that make scattered data readable and forecast what comes next.
Data ready for AI
We check the data each use case needs and plan the pipelines that make it ready for GenAI.
More detail on data engineering services and data analytics and BI.

Platforms
Databricks, Microsoft Fabric, the AWS data stack or Snowflake
Databricks is the data platform we work with most. We also build on Microsoft Fabric and on the AWS data stack, and we work with Snowflake. The platform is chosen per workload.
Microsoft
Microsoft Fabric and Power BI
Data brought into one place on Microsoft Fabric, modeled once, with dashboards that refresh on their own. We are a Microsoft Solutions Partner for Data & AI.
Microsoft Fabric and Power BIAWS
The AWS data stack
Data migration, pipelines and scalable data warehouses on AWS, from an AWS Advanced Tier Services Partner.
AWS data and analyticsSnowflake
Snowflake
With Snowflake, Apache Airflow and dbt, we clean, transform and schedule data workflows for model accuracy.
Snowflake servicesBI tools
Power BI, Tableau and Amazon QuickSight
The BI tools we build dashboards and reports in, for real-time dashboards and alerts, forecasting and self-service analytics.
Data analytics and BI
Building dashboards in Tableau? See Tableau services.
How an engagement runs
Workshops first, then a roadmap you can act on
We start with workshops to understand your business goals and data, then tailor the approach to your needs instead of applying a template. A roadmap is agreed before anything is built.
01
Prepare
Workshops on your business goals and your data come first. We understand the current state and assess the areas to improve.
02
Envision
We prioritize use cases, define areas of opportunity and prototype the solutions, so effort goes where it returns the most.
03
Roadmap
We develop a plan aligned with your business goals: what moves, in what order, onto which platform, and how sensitive data is protected along the way.
04
Implement
We put the plan into practice: data moved and consolidated, pipelines and reports built, and sensitive records protected.
Partner credentials
A Databricks partner, with Microsoft Data & AI behind it
HabileLabs is a Databricks partner and a Microsoft Solutions Partner for Data & AI.
HabileLabs Analytics, our subsidiary in Gurugram, builds data platforms on Azure, Databricks and AWS.
Databricks partner and Microsoft Solutions Partner
Microsoft Solutions Partner, Data & AI (Azure)
HabileLabs Analytics is a Data and AI Innovation Center that builds scalable data platforms, AI-powered analytics and cloud-enabled intelligence systems for enterprises and public-sector institutions. Visit HabileLabs Analytics.
- partner programmes: Databricks and Microsoft
- 2
- engineers
- 100+
Related results, not Databricks projects
What HabileLabs has delivered on other platforms
Insurance · SQL Server52 → 1Access databases consolidated into a single SQL Server databaseHelvetia →
NBFC · AWS35+ TBof legacy document data moved to AWS in a phased lift-and-shift migrationAavas Financiers →
SaaS · Amazon Bedrock42% → 85%opportunities with complete MEDDPICC data within 6 months, after a governed multi-agent AI buildiSEEit →
Keep exploring
Related data services
Data engineering
Data architecture, integration and ETL pipelines, big data processing and real-time streaming on AWS, Azure and Google Cloud.
Data engineeringData analytics and BI
Scattered business data turned into dashboards, reports and forecasts people can act on.
Data analytics and BIHabileLabs Analytics
Our Data and AI Innovation Center in Gurugram, for data platforms, AI-powered analytics and cloud-enabled intelligence systems.
HabileLabs AnalyticsDatabase migration and modernization
Legacy and self-managed databases moved onto managed platforms, with the data intact.
Database migrationAI and ML development
AI consulting, machine learning development, NLP and conversational AI, built into your existing infrastructure.
AI and ML developmentData protection and governance
Aadhaar masking, document governance and audit trails for banks, NBFCs and housing finance companies.
Data protection
Databricks FAQs
Databricks services, answered
What we do on Databricks, what the partnership means and what to expect.
Databricks services are the design, build and running of data platforms and analytics on Databricks. We use Databricks for analytics and as a data platform, alongside Microsoft Power BI, Amazon QuickSight and Azure Synapse Analytics.
Yes. HabileLabs is a Databricks partner. HabileLabs Analytics, our subsidiary in Gurugram, builds data platforms on Azure, Databricks and AWS.
No. There is no Databricks case study on this site. The results on this page come from other platforms: Helvetia's consolidation into SQL Server, Aavas Financiers' move of 35+ TB of legacy document data to AWS, and iSEEit's agentic AI build on Amazon Bedrock.
Yes. Databricks is the data platform we work with most. We also work with Microsoft Fabric and Power BI, as a Microsoft Solutions Partner for Data & AI, with the AWS data stack, and with Snowflake.
It depends on your goals and data. We design data lakes, data warehouses or hybrid models to fit your needs.
With workshops. We start with workshops to understand your business goals and data, then tailor the approach to your needs instead of applying a template. A roadmap is agreed before anything is built.
Not on its own. A modern platform builds the foundation, but data quality, governance, lineage and access controls still need their own work. We check the data each use case needs and plan the pipelines that make it ready for GenAI.
We set up data quality and governance frameworks that keep data accurate, complete and secure. HabileLabs Analytics uses data encryption, strict access controls and continuous monitoring on every project, and works to meet DPDP compliance and other applicable regulations.
Next step
Planning a data platform on Databricks?
Tell us where your data sits today and what you need from it. We start with workshops on your goals and your data, and agree a roadmap before anything is built.
- Workshops before any build
- Databricks partner
- Microsoft Solutions Partner
