Databricks Partner Program

Algoscale is a Databricks Bronze Partner

We build lakehouses, data pipelines and production machine learning on Databricks for US enterprises — from replacing legacy SSIS and ETL stacks to governed models that score every record on schedule.

Talk to a Databricks expert See our Databricks services

ISO 27001 certified · Clutch 5.0 from 12 reviews

Certified

Databricks Bronze Partner

Trusted by data and AI teams at

150MRows a day on one of our Databricks pipelines

400+Data & AI deployments

12+Years in business

85%Client retention

What our Databricks partnership means for you.

As a Databricks partner, Algoscale builds on the Databricks Data Intelligence Platform with access to Databricks' partner enablement, training and technical resources. For you, it means a team that knows Delta Lake, Unity Catalog and MLflow from production work, not tutorials.

We're also Snowflake and Microsoft partners, so we'll tell you when Databricks is the right engine and when it isn't.

Production ML, not pilots

Versioned models, scheduled scoring and continuous drift monitoring with MLflow.

Runs on your cloud

Databricks on AWS, Azure or Google Cloud, governed in Unity Catalog.

Vendor-neutral advice

Partners with Snowflake, Microsoft and AWS too, so the recommendation follows your workloads.

Databricks consulting services.

Databricks Lakehouse Implementation

A governed medallion lakehouse on Delta Lake, with raw, cleansed and business-ready layers.

Databricks, Delta Lake

Learn more

Legacy ETL Migration to Databricks

Replace brittle SSIS, Hadoop or hand-built ETL with schema-resilient Spark pipelines.

Databricks, Apache Spark

Learn more

Databricks Data Engineering

Batch and streaming pipelines from APIs, databases and cloud storage, monitored end to end.

Spark, Databricks Workflows

Learn more

Unity Catalog Governance

Access controls, lineage and data organization across every workspace and cloud.

Unity Catalog

Learn more

MLOps & Production ML

Models trained, versioned, scheduled and monitored for drift, with results handed to the business.

MLflow, Databricks ML

Learn more

Power BI

BI on Databricks

Fast Power BI and Looker dashboards fed from Delta tables, refreshed in minutes.

Power BI, Looker

Learn more

Databricks customer stories.

Financial services

Real-time loan and sales analytics for Juice on Databricks

Juice's analysts spent 10–15 hours a week pulling reports by hand. We connected HubSpot, Azure SQL and Amazon S3 into one Databricks platform governed in Unity Catalog, with real-time dashboards in Looker.

80%less manual reporting effort

30%faster loan processing

Read the case study →

Insurance

Annuity lapse prediction in production on Databricks

A governed Databricks MLOps pipeline scores every in-force variable annuity contract for lapse risk, with model versions tracked and results handed to actuaries.

Read the case study →

Insurance

Insurance BI rebuilt on Databricks and Delta Lake

We replaced a brittle SSIS reporting stack with a schema-resilient Databricks pipeline carrying 150M rows a day, so Power BI dashboards refresh in minutes, not hours.

82%faster Power BI refresh

5xmore active analysts

Read the case study →

Show all case studies

Hear From our Clients.

Video testimonial

I’ve been tremendously impressed by their knowledge, skills and professionalism.

Neeraj and Algoscale enabled Perceptronix and my clients have the cutting edge solutions they need to solve the very real problem that they have. We really enjoy working with their development team — our projects are always well defined and managed by project leaders.

5.0

John TepperPerceptronix Ltd

IndustryMachine learning

LocationUnited Kingdom

Watch on YouTube

Databricks partnership FAQs.

It means Algoscale is part of the Databricks Partner Program, with access to Databricks' partner enablement, training and technical resources. Our engineers build on Databricks in production, from Delta Lake pipelines to MLflow-managed models.

Algoscale implements Databricks lakehouses, migrates legacy SSIS and Hadoop ETL to Databricks, builds batch and streaming pipelines, sets up Unity Catalog governance, runs MLOps for production machine learning, and connects BI tools to Delta tables.

Databricks usually wins for heavy data engineering, streaming and custom machine learning; Snowflake usually wins for SQL analytics and BI at scale. Algoscale partners with both, and our white paper Snowflake vs Databricks in 2026 gives a workload-weighted way to decide.

Yes. Databricks runs on AWS, Azure and Google Cloud. For Juice, we built the platform on Google Cloud while pulling data from Azure SQL and Amazon S3.

Yes. We version models with MLflow, schedule scoring, monitor drift continuously and hand results to the business. For a US life insurance carrier, every in-force annuity contract is scored on schedule.

We use Unity Catalog for access control, lineage and data organization across workspaces, alongside quality checks inside the pipelines. Algoscale is ISO 27001 certified.

Focused pipelines and dashboards often reach production in weeks; full lakehouse and MLOps programmes run longer. Our engagement estimator gives a realistic week-range in two minutes.

Yes. We monitor pipelines and models, tune jobs and clusters to keep compute costs in check, and add new sources and use cases as you grow.