Databricks Reviews, Ratings & Features 2026 | Gartner Peer Insights

Gartner defines the market for cloud database management systems (DBMSs) as software products that store and manipulate data and are primarily delivered as platform as a service (PaaS) in the cloud. Cloud DBMSs may optionally be capable of running on-premises or in hybrid, multicloud or intercloud configurations. They can be used for transactional and/or analytical work. They typically persist data using a combination of proprietary and open components in a durable manner, enabling a full range of create, read, update and delete operations. They are used by application end users, designers, developers and operators of large database systems.

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Cloud Database Management Systems (Transitioning to Cloud Operational Database Management Systems)

Databricks Data Intelligence Platform

Lakebase

Databricks

Software Development Manager

Databricks platform capabilities have grown significantly over the last couple of years where it has matured from a pure Data Engineering platform to supporting true AI/ML capabilities. The platform now natively supports self-service analytics capabilities and is quite scalable.

<50M USD

10B - 30B USD

30B + USD

500M - 1B USD

1B - 3B USD

50M - 250M USD

250M - 500M USD

3B - 10B USD

Gov't/PS/ED <5,000 Employees

Gov't/PS/ED 5,000 - 50,000 Employees

Head Of Data Science And Engineering

Databricks provides a comprehensive set of capabilities that make processes easier in a lot of different areas. From data engineering to data analytics. With that it's a great framework to build your data democratization initiative around.

VP, Data and Analytics

Strong in product capability, but do require extensive diligence to ensure cost benifit

Snowflake

Amazon Web Services (AWS)

Microsoft

Google

Cloudera

Oracle

Teradata

MongoDB

Other...

Salesforce

Neo4j

Couchbase

Idera (Qubole)

1010data

DataStax

Redis

ClickHouse

Aerospike

MariaDB

Yellowbrick Data

Aiven

Assist Digital

Huawei

Lumen

SingleStore

Rackspace Technology

Volt Active Data

Databricks is a global company focusing on data and AI. At the core of Databricks is the Databricks Data Intelligence Platform which allows entire organizations to use data and AI to power a wide range of business use cases. It's built on a lakehouse to provide an open, unified foundation for all data and governance and is powered by a Data Intelligence Engine that understands the uniqueness of the organizations’ data. Databricks simplifies and accelerates enterprises' data and AI goals by unifying data, analytics and AI on one platform. Its key mission is to assist data teams in addressing some of the world's most challenging problems.

Databricks is the data and AI company. More than 9,000 organizations worldwide ‚Äî including Comcast, Cond√© Nast, H&M, and over 40% of the Fortune 500 ‚Äî rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark‚Ñ¢, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world‚Äôs toughest problems.

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Attention: Databricks applicants

Due to reports of phishing, we‚Äôre requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news ‚Äî you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

Reviews

Ratings Overview

Overall experience with

Favorable Review

Invest in diligence early, enjoy the cost benefit and strong product capabilities

Critical Review

Databricks - Center piece on our journey towards data literacy

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