Is Databricks free or paid?

Databricks is a paid tool with various pricing plans to suit different needs.

Does Databricks require coding?

Databricks offers both no-code solutions and API access for developers. You can use it without coding, or integrate it programmatically if you have technical skills.

What platforms does Databricks support?

Databricks is primarily a web-based tool. It also provides API access for developers who want to integrate it into their applications.

How does Databricks compare to alternatives?

Databricks stands out with its high user ratings. The API integration capabilities make it ideal for developers. For detailed comparisons, check out our alternatives page.

Databricks

Name: Databricks: Leading Data and AI Solutions for Enterprises
Brand: Databricks Inc.
Rating: 4.7 (15234 reviews)

4.7

(15234 reviews)

Empower Your Data, Unleash AI Potential

Databricks offers a unified platform for data, analytics, and AI, enabling organizations to build better AI through a data-centric approach while simplifying ETL, data warehousing, governance, and AI on the Data Intelligence Platform.

Business IntelligenceBusiness IntelligenceData Intelligence PlatformAIdata governance

Overview

Databricks offers a unified platform for data, analytics, and AI, empowering organizations to build better AI with a data-centric approach. The Data Intelligence Platform simplifies ETL, data warehousing, governance, and AI, allowing users to develop generative AI applications while maintaining data privacy and control.

Key features include a single solution for all ETL use cases that ensures data quality, context-aware natural language search, and AI-powered monitoring. Users can create, tune, and deploy their own generative AI models, automate experiment tracking, and monitor models at scale. Additionally, Databricks provides a compliant, end-to-end view of the data estate with a unified model of data governance for both structured and unstructured data.

The target audience includes enterprises looking to democratize insights and gain efficiency in their data operations. By moving from legacy cloud data warehouses to a lakehouse, organizations can achieve 12x better price/performance for SQL and BI workloads.

Main benefits of using Databricks include the ability to discover insights rooted in business characteristics, maintain data lineage and quality across the AI workflow, and utilize AI agents trained on business data for enhanced operational efficiency.

Pricing Plans

Visit Pricing Page

Pricing Model: subscription - custom pricing

View detailed pricing information →

Pros (8)

Unified platform for data, analytics, and AI
Simplifies ETL, data warehousing, governance, and AI
Maintains data lineage, quality, control, and privacy across the AI workflow
Achieves 12x better price/performance for SQL and BI workloads
Single solution for all ETL use cases that ensures data quality
Context-aware natural language search and discovery
Serverless management for simplified operations
Open formats and APIs to avoid lock-in

Cons (1)

Limited security compliance information

Alternatives of Databricks

Compare all alternatives

Snowflake

www.snowflake.com

Snowflake offers a cloud-based data platform that provides data warehousing, data lakes, and data sharing capabilities, similar to Databricks' unified approach to data and analytics.

Google BigQuery

cloud.google.com/bigquery

Google BigQuery is a serverless data warehouse that allows for fast SQL queries and analysis of large datasets, aligning with Databricks' focus on data analytics and AI.

Microsoft Azure Synapse Analytics

azure.microsoft.com/en-us/services/synapse-analytics

Azure Synapse Analytics integrates big data and data warehousing, providing a unified experience for data integration and analytics, similar to the Databricks platform.

Amazon Redshift

aws.amazon.com/redshift

Amazon Redshift is a fully managed data warehouse service that allows users to run complex queries and perform analytics on large datasets, comparable to Databricks' data warehousing capabilities.

IBM Cloud Pak for Data

www.ibm.com/cloud/cloud-pak-for-data

IBM Cloud Pak for Data is an integrated data and AI platform that helps organizations collect, organize, and analyze data, similar to the functionalities offered by Databricks.