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Databricks Inc.

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741 reseñas
  • Perfiles de 1
  • Categorías de 13
Calificación promedio de estrellas
4.6
#1 en categorías de 9
Líder de la Grid®
Atendiendo a clientes desde
2013
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Databricks Inc. Reseñas

Filtros de reseñas
Nombre del perfil
Calificación por estrellas
580
154
6
0
2
Akhil S.
AS
Akhil S.
Data Engineer| SQL| Pyspark| Python| Java| Hive| ETL| DWH
04/16/2026
Revisor validado
Usuario actual verificado
Fuente de la revisión: Invitación de G2
Revisión incentivada

Powerful Unified Analytics with Seamless Governance and Effortless Scaling

What I like best about Databricks is its powerful and unified analytics ecosystem. Features like Unity Catalog and Metastore make data governance and access control seamless, while the Lakehouse architecture combines the best of data lakes and warehouses. PySpark support, dbutils, and collaborative workspaces make development efficient, and serverless compute simplifies scaling without infrastructure overhead.
Abiola O.
AO
Abiola O.
Senior Cloud Solutions Architect & DevOps Engineer
04/16/2026
Revisor validado
Fuente de la revisión: Orgánico

Unified Data Platform, Minor Cost and Complexity Challenges

I like that Databricks provides a unified platform for data engineering and data science, eliminating friction across teams and enhancing the ability to accelerate development and deployments. It works especially well for end-to-end CICD pipelines.
Sayli G.
SG
Sayli G.
Artificial Intelligence & Data Science Student | Aspiring Data Scientist | Machine Learning & Analytics Enthusiast
04/16/2026
Revisor validado
Fuente de la revisión: Página de Agradecimiento

Unified Data Workflows with Databricks

I really like Databricks for its collaborative lake house environment, which has been key in unifying our data engineering and machine learning workflows. It bridges the gap between our engineering and analytics teams, allowing us to run BI and AI on a single platform. Additionally, the initial setup was surprisingly fast from a workspace perspective, especially with the native integration in Azure.

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Ubicación de la sede:
San Francisco, CA

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@databricks

¿Qué es 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 over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog.

Detalles

Año de fundación
2013