Databricks Inc.

Show rating breakdown
4.6 out of 5 stars
1,414 reviews
  • 1 profiles
  • 16 categories
Average star rating
4.6
#1 in 26 categories
Grid® leader
Serving customers since
2013
Products
Reviews
About
Products
Reviews
About
Profile Filters

All Products & Services

Product Avatar Image
Databricks

1,414 reviews

Making big data simple

Profile Name

Star Rating

1119
277
14
1
3

Databricks Inc. Reviews

Review Filters
Profile Name
Star Rating
1119
277
14
1
3
US
Ulrik S.
Lead Data EngineerMid-Market (51-1000 emp.)
10/27/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Unified Data Workflows, Powerful Automation—But Cost Tracking Needs Work

|Databricks
I use Databricks daily, and it’s integrated into everything—from data ingestion with Auto Loader from S3 and ADLS to transformations with Spark and Delta Live Tables. Now our whole team works on the same notebooks, jobs, and tables with version control. I really like the API and Terraform provider for managing clusters, jobs, and permissions with version-controlled code. Delta Live Tables also lets me create declarative pipelines with built-in expectations and data quality checks instead of programming validations manually. The initial setup was easy.
PF
Paulo F.
Marketing Analytics SpecialistMarketing and AdvertisingMid-Market (51-1000 emp.)
10/27/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Unified Analytics Workspace, Though Large Queries Slow Down

|Databricks
I bring campaign data from social platforms, client websites and online stores into one workspace, so I don’t have to rebuild the weekly attribution view across separate tools, and my figures match the account managers’ figures. Since we share a workspace, our web team usually catches broken tags before they distort a report. I value having analytics and machine learning together: I can write SQL, test a Python model and share the result with colleagues in the same notebook. Setup was simple, and our team was sharing notebooks soon after the first login. I also value the cluster settings, which let me size compute for a heavy year of ad impressions and keep the weekly attribution work manageable.
JO
Juan O.
Application Support EngineerMid-Market (51-1000 emp.)
10/26/2026
Validated Reviewer
Review source: Organic

Logs and Spark Make Troubleshooting Click—Real Learning with Every Incident

|Databricks
I like that, after reviewing the logs and checking the Spark interface, everything falls into place. On top of that, I often have moments of revelation here—every incident teaches me something that isn’t covered in any courses. I also enjoy taking responsibility when a critical process fails, and I value being able to explain the same problem in three different ways, depending on who I’m talking to.

About

Contact

HQ Location:
San Francisco, CA

Social

What is Databricks Inc.?

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle.

Details

Year Founded
2013
Website
databricks.com