Databricks Reviews & Product Details

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.

Product Website

Seller

Databricks Inc.

Discussions

Databricks Community

Languages Supported

German, English, French, Italian, Japanese, Korean, Portuguese

Overview by

Colette Chavalia

Value at a Glance

Averages based on real user reviews.

Time to Implement

4 months

View More Pricing Information

Databricks Media

Databricks Demo - Automated ETL processing

Once ingested, raw data needs transforming so that it’s ready for analytics and AI. Databricks provides powerful ETL capabilities for data engineers, data scientists and analysts with Delta Live Tables (DLT).

Databricks Demo - Reliable workflow orchestration

Databricks Workflows is the fully managed orchestration service for all your data, analytics and AI that is native to your Lakehouse Platform. Orchestrate diverse workloads for the full lifecycle including Delta Live Tables and Jobs for SQL, Spark, notebooks, dbt, ML models and more.

Databricks Demo - End-to-end observability and monitoring

The Lakehouse Platform gives you visibility across the entire data and AI lifecycle so data engineers and operations teams can see the health of their production workflows in real time, manage data quality and understand historical trends. In Databricks Workflows you can access dataflow graphs an...

Databricks Demo - Security and governance at scale

Delta Lake reduces risk by enabling fine-grained access controls for data governance, functionality typically not possible with data lakes.

Databricks Demo - Automated and trusted data engineering

Simplify data engineering with Delta Live Tables – an easy way to build and manage data pipelines for fresh, high-quality data on Delta Lake.

Databricks Demo - Eliminate resource management with serverless compute

Databricks SQL serverless removes the need to manage, configure or scale cloud infrastructure on the Lakehouse, freeing up your data team for what they do best.

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Elena P.

Data Specialist

Mid-Market (51-1000 emp.)

1/7/2025

"Simplify big data challenges for better decision-making"

4/5

What do you like best about Databricks?

Recommendation engine for an e-commerce platform was developed by our team with the help of DataBricks. The project involved analysing customer behaviour to suggest products on the website. For this project we are required to process bulk data without any performance issues. That could only be possible with DataBricks as the platform is scalable. We also integrated DataBricks with AWS S3 to access data on cloud. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Initially, we faced some challenges as the platform has a learning curve, but when we encountered any challenges, we connect with their customer support team and they provided a detailed guidance on every issues that we had. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

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It's great to hear that Databricks has helped improve your efficiency by consolidating multiple sources of data into a single platform, saving you valuable time and eliminating the need to switch between different tools. Thanks for taking the time to share your thoughts.

Verified User in Consulting

Enterprise (> 1000 emp.)

6/10/2025

"Databricks with Unity Catalog"

4/5

What do you like best about Databricks?

Centralized management of data assets across environments through the Unity Catalog Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Single megastore per region and having very few metastore admins across the enterprise can make enterprise adoption challenging without having access to Databricks premium support Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

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Thank you for sharing how Databricks Data Intelligence Platform is solving the problem of centralizing data assets and enabling consistent data sharing. We are committed to providing a seamless experience for our users.

Saurabh G.

Managing Consultant

Mid-Market (51-1000 emp.)

1/11/2025

"Databricks is The data and AI company"

4.5/5

What do you like best about Databricks?

Databricks lakehouse platform is unique in 3 ways-

Simple- Data only needs to exist once to support all your workloads.

Open- It is based on open standards to work with existing tools and avoid propritary formats.

Collaborative - DE, Analysts and DS can work together much more easily. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Speed of innovations and features released. Sometimes features rolled-out without enough support and documentations. Review collected by and hosted on G2.com.

What problems is Databricks solving and how is that benefiting you?

It is helping us in many ways:

1) Faster data processing with optimized features provided via DBR which is additional performace incentives on top of open spark e.g. Dynamic file pruning, low shuffle merge, deletion vectors, AQE etc

2) Unified governance and security - Rise of multi cloud adoption where each cloud has a unique governance model that requires individual familiarty intoduce complexity. solutions are unity catalog and data sharing. It is helping us a lot providing centralized governance Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

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Thank you for sharing what you like about Databricks Data Intelligence Platform! We're glad to hear that the lakehouse platform's simplicity, openness, and collaborative features are benefiting your team.

Senthil K.

Cloud Data & AI Architect

Enterprise (> 1000 emp.)

10/1/2024

"Unlocking Insights - Databricks : Unified Lakehouse Platform for Modern Data Intelligence"

4.5/5

What do you like best about Databricks?

Mainly 60-70% of day-day actviities goes with Databricks DLT , Autoloader, databricks Workflows usage for Building unified pipelines

Also I use for creating the MlOps MlFlow Model serving , feature Store Online store tables for Model deployments, evaualtion & use the Lakeouse flow monitoring. Also used Mosiac AI gateway

Soon looking forward of using the Databricks serverless in engineering notebook pipelines also apart from DLT

DB-SQL with Delta Photon Optimization and the lIquid clustering solves the Optimize/Z-order manual work of optimizations

Also recently migrated coupled oh Hive Metastore of various Line of busienss for Civil quants & Risk applications into Unity Catalog Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Currently not much, slowly everything getting addressed on improvements with Public releases starting from enahnced workflows , Genie, Databricks AI assitant & so

Still need to more fine tune the AI assitants to understand the previous error history happened in that cluster & provide suggestions not only in code syntax but also provide alternate options to permanently solve & write teh code in optmized ways without asking in Prompts

Vector search need more improvemnt with more precise reterievals to provide context for DBR models & more embedding models need to be served from AI gateway Review collected by and hosted on G2.com.

What problems is Databricks solving and how is that benefiting you?

Used for Migrating Hive Metastore to Unity Catalog ensures better data governance and accessibility across various lines of business, enhancing data management and compliance. Integrated also Snowflake catalog to Unity catalog as external catalog as part of POC tetsing

Lakehouse flow monitoring provides insights into data processes, allowing for timely detection and resolution of issue, used DLT for data quality expectation for providing insights

For analysis DB-SQL leveraging Delta and Photon optimization, you minimize manual optimization efforts and improve query performance through automatic Z-ordering and clustering.

For model building Utilizing MLFlow for model serving and feature store tables allows for smoother model deployment and evaluation, enhancing the overall machine learning lifecycle. Review collected by and hosted on G2.com.

Response from Janelle Glover of Databricks

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We're glad to hear that you are enjoying the benefits of Databricks Data Intelligence Platform and that many of your needs are being addressed. We take your suggestions for improvement seriously and will continue to work on enhancing our AI assistants and vector search capabilities.

Igor N.

SeniorData Manager

Mid-Market (51-1000 emp.)

1/8/2025

"A trusted partner for scalable and smart data workflows."

4.5/5

What do you like best about Databricks?

A productive maintenance solution for manufacturing equipment was implemented by my team using Databricks. We identified patterns that indicated potential failures by analysing IoT sensors data. What I like best about Databricks is the integration with IoT hubs, which allowed us to collect data from our devices. It also offers pre-build ML libraries which help us during the model development phase and saved us valuable time. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Some optimal configurations needs to be added when integrating IoT data streams with Databricks, which was a bit complex. That's why we faced some challenges during this phase of project. Review collected by and hosted on G2.com.

What problems is Databricks solving and how is that benefiting you?

Our team used Databricks to optimise inventory management by analysing sales pattern, supply, Chinita and seasonal trends. This automated pipeline/workflow, reduced errors and insured timely analysis. The platform also improved team collaboration, as multiple departments could view and edit the data directly within the Databricks environment. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

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We're glad to hear that Databricks has been a trusted partner for your data workflows and has helped you identify potential equipment failures through IoT sensor data analysis. We appreciate your feedback on the integration with IoT hubs and the pre-built ML libraries.

Sriaknth M.

Data Architect

Mid-Market (51-1000 emp.)

6/12/2025

"I loved the experience"

5/5

What do you like best about Databricks?

I learned lot of things which takes years for me to learn

Met like minded people to make better connections Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Nothing specific, I liked everything here. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

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We are glad to hear you had a great time at the Data + AI Summit! We hope to see you next year too. If you have any issues with the platform, please feel free to reach out to our support team.

Kevin D.

Data Engineer

Mid-Market (51-1000 emp.)

6/10/2025

"Databricks is usefull platform to analyze your data"

5/5

What do you like best about Databricks?

Easy way to use, dashboards, security and linage with Unity Catalog Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Nothing, until now all the platform is amazing for me Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

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We're glad to hear that you find Databricks Data Intelligence Platform useful for analyzing your data. Thank you for highlighting the ease of use, dashboards, security, and lineage with Unity Catalog as the best features.

Amal K.

Data Engineer

Enterprise (> 1000 emp.)

3/25/2025

"Databricks Analytics Amazing Tool"

4.5/5

What do you like best about Databricks?

It provide codes based on taking context from previous cells, which helps in developing code better.

Serverless querying is faster and cheaper, which helps build and query effectively. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Nothing disappointing about this product. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

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We're glad to hear that you find Databricks helpful for developing code and querying effectively. The serverless querying feature is designed to optimize performance and cost-efficiency.

Chayan G.

Practice Lead

Enterprise (> 1000 emp.)

6/11/2025

"Amazing scale low latency analytics"

5/5

What do you like best about Databricks?

Easy to setup low tco, ml ops ai ops databricks apps Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Apps support as bundles is not GA yet maybe soon Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

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We're thrilled to hear that you find Databricks Data Intelligence Platform easy to set up with low total cost of ownership. We're continuously working to improve our platform, including the support for apps as bundles, and we appreciate your feedback on this. We're glad to hear that the platform is helping you with real-time app interface using agents.

Nishant g.

Junior Manager Analyst

Enterprise (> 1000 emp.)

2/17/2025

"Databricks -Data transformation and pipeline Use"

4.5/5

What do you like best about Databricks?

Databricks is very user friendly platform whuch supports multiple database and scripting languages at same place.

Pyspark and delta feature enhance the speed of data extraction

AI assostant auto complete the code and optimize when needed to do that.

Lots of paid connectors are available to use. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Transformation from sql to pandas can be very time consuming.

Estimated runtime should be available so use can optimize the pipeline or notebook. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

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We're glad to hear that you find Databricks user-friendly and supportive of multiple database and scripting languages. The Pyspark and delta features are indeed designed to enhance data extraction speed, and we're pleased to know that you find the AI assistant helpful. We appreciate your feedback about the transformation from SQL to pandas and the need for estimated runtime. We'll take this into consideration for future improvements.