Databricks Inc.

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1,406 reviews
  • 1 profiles
  • 16 categories
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4.6
#1 in 26 categories
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Serving customers since
2013
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Databricks Inc. Reviews

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Murali Krishna R.
MR
Murali Krishna R.
Senior Data EngineerMid-Market (51-1000 emp.)
11/01/2026
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Unified Data Engineering, Analytics, and ML Platform for Large-Scale Processing

It is a unity data engineering, Analytics and machine learning platform. It helps in processing large scale data.
Rakesh G.
RG
Rakesh G.
EngineerEnterprise (> 1000 emp.)
10/31/2026
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Harshal A.
HA
Harshal A.
Azure Data EngineerMid-Market (51-1000 emp.)
10/29/2026
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Flexible Azure Data Engineering with Databricks: Delta Lake, PySpark & Spark SQL

As an Azure data engineer, I like Databricks because it gives me the flexibility to build data pipelines that can handle both structured and semi-structured data. I can use PySpark and Spark SQL to clean raw files, apply business rules, and prepare curated datasets for analytics. Working with Delta Lake is especially useful when managing incremental loads and maintaining reliable data across different processing stages. My favorite features are Delta Lake, PySpark notebooks, Spark SQL, workflow scheduling, and the medallion architecture. Delta Lake supports reliable table operations, and the workspace provides the best environment for developing and testing data pipelines. Notebooks make it easy to combine code, SQL, and output results in one place.

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HQ Location:
San Francisco, CA

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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