Databricks Lakehouse Implementation
A governed medallion lakehouse on Delta Lake, with raw, cleansed and business-ready layers.
- Databricks
- Delta Lake
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.
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.
From lakehouse implementation and legacy ETL migration to Unity Catalog governance and MLOps, these are the Databricks services we deliver. See the full scope on our Databricks consulting services page.
Legacy ETL Migration to Databricks
Replace brittle SSIS, Hadoop or hand-built ETL with schema-resilient Spark pipelines.
- Databricks
- Apache Spark
Databricks Data Engineering
Batch and streaming pipelines from APIs, databases and cloud storage, monitored end to end.
- Spark
- Databricks Workflows
Unity Catalog Governance
Access controls, lineage and data organization across every workspace and cloud.
- Unity Catalog
MLOps & Production ML
Models trained, versioned, scheduled and monitored for drift, with results handed to the business.
- MLflow
- Databricks ML
Power BI
BI on Databricks
Fast Power BI and Looker dashboards fed from Delta tables, refreshed in minutes.
Power BI- Looker
Built for US enterprises.
We build lakehouses, data pipelines and production machine learning on Databricks for US enterprises. Here is what that means in practice.
Your cloud, in the region you choose
Databricks runs on AWS, Azure and Google Cloud, so your workspace sits in the cloud and region you select, including US regions.
Governed in Unity Catalog
Access control, lineage and data organization across workspaces, with quality checks built into the pipelines.
Proven on enterprise workloads
Every in-force annuity contract is scored on schedule for a US life insurance carrier, and one of our Databricks pipelines carries 150M rows a day.
Databricks customer stories.
Real Databricks projects we have delivered, from loan analytics to annuity lapse prediction and insurance BI, with the results clients achieved.
Financial services
Read the case study →
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
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
Read the case study →
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
Hear From our Clients.
Clients share what it was like to work with Algoscale, in their own words, through video testimonials and verified reviews.
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.
We are impressed with their good communication skills.
Algoscale Technologies, Inc. provided a transportation company with BI, big data consulting, and SI services. The team was tasked with improving the client’s traffic movement counts at several intersections.
5.0
Verified on Clutch · Oct 2023Loren E. Chilson, PEPrincipal, Headway Transportation
IndustryTransportation
LocationReno, Nevada
We are extremely happy with the work that they’ve done.
They are responsive, the quality of the engineers and data scientists are very very good. They are challenged by us and ultimately always deliver. We find that the management team are really attuned to the kind of skills that we need.
…Algoscale is unwilling to settle for anything less than full customer satisfaction.
Algoscale Technologies, Inc. created an engine to capture data and an analytics platform to synthesize the information. They consulted on which technologies to use and provided maintenance.
5.0
Verified on Clutch · Jan 2020ADCTOAdiply LLC
IndustryAdvertising & marketing
LocationDallas, Texas
100% of the deadlines set by Algoscale Technologies, Inc. have been met.
Algoscale Technologies, Inc. provides ongoing analytic, development, and data science support for an analytics firm.
5.0
Verified on Clutch · Jan 2020JSCOOJakstat Solutions
IndustryBusiness services
LocationFort Lauderdale, Florida
Insights for Databricks teams.
Practical guides on Microsoft Fabric versus Databricks, data warehouse design and implementation to help your team plan and decide.
Microsoft Fabric vs Databricks (2026)
Costs, trade-offs and when an enterprise should run both.
Read the article
Data Warehouse Implementation: Steps, Design Patterns & Best Practices
Design patterns, ELT pipelines and governance from real implementation projects.
Read the article
Data Warehouse Design: Complete Guide for 2026
How medallion layers turn raw source data into analytics teams trust.
Read the articleDatabricks partnership FAQs.
Answers to common questions about our Databricks partnership, Databricks versus Snowflake, running on your cloud, governance, timelines and support after go-live.
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.
5.0 / 5 · 12 reviews
ISO 27001
Clutch Champion 2025
Clutch Global 2025
Best Data Analytics Companies 2025
Contact Us.
Tell us what you are trying to solve. A member of our team will get back to you with next steps, not a brochure.
Our customers
Certified partners
Certifications
ISO 27001Clutch Champion 2025Clutch Global 2025Best Data Analytics Companies 2025