What is Databricks?

Databricks is a comprehensive data intelligence platform that unifies data, AI, and governance. It empowers organizations to build AI applications while maintaining data privacy, integrating seamlessly with existing tools to drive efficiency and democratize insights across the enterprise.

Pricing

Databricks Starting Price

$ 0/Databricks unit plus Amazon Web Services  costs

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Key Features of Databricks

Here are the powerful features that make Databricks stand out from the competition. Packed with innovative tools and advanced functionalities, this software offers a range of benefits.

  • Interactive Dashboards
  • Real Time Collaboration
  • Custom Visualizations
  • Built In Chart Types
  • Sql Analytics
  • Data Exploration
  • Drag And Drop Interface
  • Notebook Integration
  • Data Import/export
  • Automated Insights
  • Cross Filtering
  • Geospatial Mapping
  • Time Series Analysis
  • Customizable Themes
  • Data Transformation
  • Scheduled Reports
  • Api Access
  • Role Based Access Control
  • Embedded Analytics
  • Performance Optimization
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Databricks Pricing

Here are the pricing plans for Databricks. Choose the plan that best fits your requirements and budget. Get Detailed Databricks pricing as per your requirements.

Databricks for Data engineering workloads
$ 0
Databricks unit plus Amazon Web Services  costs
  • Apache Spark
  • Databricks I/O
  • Databricks jobs
  • Databricks operational security package
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Databricks for Data analytics workloads
$ 0
DBU plus Amazon Web Services  costs
  • Everything in the previous plan plus
  • Databricks interactive clusters
  • Databricks workplace
Get Pricing

The pricing information for Databricks is sourced either directly from the software provider or publicly available materials. To get the most accurate and up-to-date costs, we advise reaching out to the vendor.

The pricing information was last updated on 2nd February 2025.

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Databricks Specifications

Get a closer look at the technical specifications and system requirements for Databricks. Find out if it's compatible with your operating system and other software.

Company Details :
Company Name : Databricks Inc
Headquarter : San Francisco
Full Address : 160 Spear Street, 13th Floor San Francisco, CA 94105
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Language Support :
English
Business :
StartUps
SMBs
Enterprises
Available Support :
Email
Phone
Training

Databricks Comparisons

Compare Databricks with other similar options available in Data Visualization Tools. Explore the key differences to see why it's the top choice for businesses and individuals.

Databricks Resources

Overall Databricks Reviews

Thinking about using Databricks? Check out verified user reviews & ratings based on Databricks's features, user-friendliness, customer support, and other factors that contribute to its overall appeal.

4/5

Based on 1 Review

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Feature 5

Feature

Out of 5

Ease of use 5

Ease of use

Out of 5

Value for money 4

Value for money

Out of 5

Customer support 4

Customer support

Out of 5

Likelihood to recommend 90%

Likelihood to recommend

Out of 100%

Databricks Pros and Cons

"Unified Batch & Streaming for source systems dataAutoloader capability, along with Schema EvolutionDelta Live Table & orchestrating with PipelinesCDC Event streams for SCD1 & SCD2 using DELTA apply changesDatabricks Workflows - Multi-task jobsServerless SQL Photon cluster along with Re-dash integrated VisualizationUnity CatalogDelta Sharing & Data MarketplaceData Quality expectationsIntegration with Collibra, Privacera & other security & governance toolsAutoloaderChange Data FeedDLT pipelinesSchema evolutionJobs MultitaskIntegration with leading Git Providers, Data Governance, and security toolsMLflow AutoMLServerless SQL endpoints for analystsPhoton accelerated engine"

"Issue in running multiple streaming jobs in the same cluster. Job clusters cant be reused even for the same retry in PRODUCTION, since they shut down immediately after the job run/fail is set by default - Need to check any options to increase this limit. Multi-Task jobs require TASK output to be passed to the next input TASK and also need to support FAIL on trigger and setting OR dependent predecessors to trigger. Currently supports only AND. No serverless option for Data engineering jobs outside DLT. DLT needs to be matured to handle a wide variety of integrating source & target, currently only supports DELTA table in Databricks. Expecting that to be supported for any tool/service/product which supports DELTA format filesystems. No GUI-based drag & drop. Complete Data Lineage visualization at the metadata level is still not there."

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Showing 1 out of 1 Reviews

Senthil K.

Architect

Used the software for : 2+ years (Daily)

Company Size :10,001+ employees

4.0

Mar 20, 2023

Verified via Business email.

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Review Source: Organic

Best Data Engineering, ML, Data Science & analytics lakehouse platform

Top Highlighted Features of Delta Databricks: Autoloader, Change Data Feed, DLT pipelines, Schema evolution, Jobs Multitask, Integration with leading Git Providers, Data Governance and security tools, MLflow, AutoML, Serverless SQL endpoints for analysts, Photon accelerated engine, Unified Batch & Streaming for source systems data, Autoloader capability along with Schema Evolution, Delta Live Table & orchestrating with Pipelines, CDC Event streams for SCD1 & SCD2 using DELTA apply changes, Databricks Workflows - Multi-task jobs, Serverless SQL, Photon cluster along with Re-dash integrated Visualization, Unity Catalog, Delta Sharing & Data Marketplace, Data Quality expectations, Integration with Collibra, Privacera & other security & governance tools. Some Limitations: No serverless option for Data engineering jobs outside DLT. DLT must be matured to handle a wide variety of integrating source & target; currently, only supports the DELTA table in Databricks. Expecting that it will be endorsed for any tool/service/product which supports DELTA format filesystems.

Feature 5

Feature

Out of 5

Ease of use 5

Ease of use

Out of 5

Value for money 4

Value for money

Out of 5

Customer support 4

Customer support

Out of 5

Databricks After Sales Service Rating

1 2 3 4 5 6 7 8 9 10

What do you like best about Databricks?

Unified Batch & Streaming for source systems dataAutoloader capability, along with Schema EvolutionDelta Live Table & orchestrating with PipelinesCDC Event streams for SCD1 & SCD2 using DELTA apply changesDatabricks Workflows - Multi-task jobsServerless SQL Photon cluster along with Re-dash integrated VisualizationUnity CatalogDelta Sharing & Data MarketplaceData Quality expectationsIntegration with Collibra, Privacera & other security & governance toolsAutoloaderChange Data FeedDLT pipelinesSchema evolutionJobs MultitaskIntegration with leading Git Providers, Data Governance, and security toolsMLflow AutoMLServerless SQL endpoints for analystsPhoton accelerated engine

What do you dislike about Databricks?

Issue in running multiple streaming jobs in the same cluster. Job clusters cant be reused even for the same retry in PRODUCTION, since they shut down immediately after the job run/fail is set by default - Need to check any options to increase this limit. Multi-Task jobs require TASK output to be passed to the next input TASK and also need to support FAIL on trigger and setting OR dependent predecessors to trigger. Currently supports only AND. No serverless option for Data engineering jobs outside DLT. DLT needs to be matured to handle a wide variety of integrating source & target, currently only supports DELTA table in Databricks. Expecting that to be supported for any tool/service/product which supports DELTA format filesystems. No GUI-based drag & drop. Complete Data Lineage visualization at the metadata level is still not there.

What features is Databricks currently missing?

Yes Orchestration enhancement needed, Serveless Data Engineering workspace needed for all jobs not only for DLT (Delta Live table) jobs. Drag & Drop GUI feature not available

What other products like Databricks have you used or evaluated?

Compared to Snowflake and BigQuery. Databricks is the first one which support DELTA format to bring Data lake & Datawarehouse together.

Alternatives of Databricks

Explore alternative software options that can fulfill similar requirements as Databricks. Evaluate their features, pricing, and user feedback to find the perfect fit for your needs.

Databricks FAQs

How much does Databricks cost?

The starting price of Databricks is $ 0/Databricks unit plus Amazon Web Services  costs. It has different pricing plans:

  1. Databricks for Data engineering workloads : $ 0/Databricks unit plus Amazon Web Services  costs
  2. Databricks for Data analytics workloads : $ 0/DBU plus Amazon Web Services  costs

The details of Databricks’s free trial have not been shared by the vendor.

What are the top 5 features for Databricks?

The top 5 features for Databricks are:

  • Data Visualization
  • Collaboration

What type of customer support is available from Databricks?

The available support which Databricks provides is:

  • Phone
  • Email
  • Training

What types of businesses does Databricks serve?

Databricks serves a wide range of businesses, including but not limited to Startups, Enterprises & SMEs.

Who are the primary competitors of Databricks?

The three major competitors of Databricks are Aqua Data Studio, Infogram and Databricks. Compare and evaluate their features, advantages, disadvantages, and other aspects to find the best option for your business.

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