Databricks
Data and AI lakehouse platform
Databricks alternatives →More DB tools →74 free dev tools →
Databricks is a unified Data + AI platform that combines data engineering, warehousing, governance and AI workloads on a lakehouse.
- for
- Data engineers, analysts, ML engineers and AI product teams needing integrated analytics and AI.
- pricing
- freemium · free trial
Key features
- Lakebase — Serverless Postgres-compatible database integrated with the lakehouse for transactional workloads.
- Lakeflow — Unified ETL engine for building batch and streaming data pipelines.
- Genie — Conversational analytics that answers natural-language queries with text, tables and visualizations.
- Unity Catalog — Open governance layer for data, models, dashboards and AI agents.
- AI/BI — AI-powered business intelligence with natural-language dashboard creation and conversational insights.
- Operational Database — Fully-managed Postgres service for serving data and features to applications.
Use cases
- Build production-ready AI agents that query live data.
- Run end-to-end data pipelines for batch and streaming workloads.
- Serve transactional workloads for apps while syncing data to analytics.
- Create natural-language dashboards for business users without SQL.
Databricks pricing
- Data Engineering$0.15 / DBU/secondOrchestrate pipelines · Batch & streaming support · Built-in connectors
- Data Warehousing$0.22 / DBU/secondSQL analytics · Classic & serverless compute · BI reporting
- Interactive workloads$0.40 / DBU/secondData science notebooks · ML model training · Full security & governance
- Operational Database$0.069 / CU/secondFully-managed Postgres · Low-latency reads/writes · Supports AI apps
Databricks vs alternatives
 Databricks |  Neon |  Convex |  Plausible |  MongoDB | |
|---|---|---|---|---|---|
| Best for | Unified lakehouse for data, analytics and AI | Serverless Postgres | Scalable MySQL/Postgres | Reactive TypeScript backend | Document database |
| Pricing | Freemium | Subscription | Subscription | Subscription | Subscription |
| DevHunt upvotes | 0 | 0 | 0 | 0 | 0 |
| Launched | — | — | — | — | — |
- Databricks vs Neon: Neon offers serverless Postgres only, while Databricks adds lakehouse analytics, AI and governance.
- Databricks vs Convex: PlanetScale provides hosted MySQL/Postgres scaling, lacking integrated AI and lakehouse features.
- Databricks vs Plausible: Convex is a reactive backend DB for TypeScript apps, not a full data-engineering and AI platform.
- Databricks vs MongoDB: MongoDB is a document database; Databricks focuses on unified analytics, lakehouse storage and AI workloads.
Databricks FAQ
What does the free trial include?+
Free trial gives access to the full Data + AI Platform; you can invite collaborators, but cloud-provider compute costs still apply.
How is Databricks priced?+
Pricing is based on compute usage (DBU or CU) with per-second granularity; storage and networking are billed separately by the cloud provider.
What is Databricks Community Edition?+
A free, limited-functionality platform for learning Spark, available without a credit card.
Can I get discounts for larger usage?+
Yes, committed-use contracts provide volume discounts and can be flexibly applied across clouds.
How are charges billed?+
For PAYG accounts a credit card is billed monthly for usage; invoices are issued and you can cancel anytime.
Do you provide technical support?+
Technical support is available; details can be obtained through the support portal or by contacting sales.
Summarized by DevHunt from databricks.com · Nov 7, 2026. Details may change; check the official site.
About this listing
DevHunt lists Databricks because developers expect to find it next to the tools in its category. It did not launch on DevHunt. Work on Databricks? Message us to claim this listing.
