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Databricks vs Neon
Short answer: Pick Databricks if you want unified lakehouse for data, analytics and AI; pick Neon if you want serverless Postgres with full backend suite. Both have a free plan.
Which to pick
Pick Databricks if you want…
- Unified lakehouse for data, analytics and AI
- Integrations with Delta Lake, SQL or R (on Databricks' list, not Neon's)
Pick Neon if you want…
- Serverless Postgres with full backend suite
- Serverless Postgres
- Integrations with Better Auth, Databricks or pgBouncer (on Neon's list, not Databricks')
Side by side
- What it is
- Databricks:Databricks is a unified Data + AI platform that combines data engineering, warehousing, governance and AI workloads on a lakehouse.
- Neon:Neon provides a serverless Postgres database with built-in auth, object storage, functions and an AI gateway.
- Best for
- Databricks:Unified lakehouse for data, analytics and AI
- Neon:Serverless Postgres with full backend suite
- Who it’s for
- Databricks:Data engineers, analysts, ML engineers and AI product teams needing integrated analytics and AI.
- Neon:Developers building apps or agents that need instant, branchable backends.
- Pricing
- Databricks:Freemium
- Neon:Freemium
- Free plan or trial
- Databricks:Free trial
- Neon:Free plan (Free)
- Plans
- Databricks:Data Engineering $0.15 / DBU per second · Data Warehousing $0.22 / DBU per second · Interactive workloads $0.40 / DBU per second · Operational Database $0.069 / CU per second
- Neon:Free $0
- Works with
- Databricks:Delta Lake, SQL, R, Spark, AWS, Azure, GCP
- Neon:Better Auth, Databricks, pgBouncer
Databricks 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.
Neon features
- Serverless Postgres. Lakebase Postgres scales compute and storage independently and auto-scales in real time.
- Managed Auth. Fully-managed Better Auth integration provides free user authentication per database.
- Branchable Storage. S3-compatible object storage and database branches copy-on-write for isolated environments.
- Functions. Serverless functions run close to the database without timeouts.
- AI Gateway. Single API to access frontier and open-source models at cost-based rates.
- Autoscaling & Scale-to-Zero. Compute auto-adjusts to demand and scales to zero when idle, billed per CU-hour.
- High Availability & Read Replicas. Multi-AZ storage and read replicas are included on all plans.
- Extensions Library. Supports Postgres extensions such as pg_vector, PostGIS, TimescaleDB, etc.
Databricks vs Neon FAQ
What is the difference between Databricks and Neon?+
Neon offers serverless Postgres only, while Databricks adds lakehouse analytics, AI and governance.
Should I use Databricks or Neon?+
Pick Databricks if you want unified lakehouse for data, analytics and AI or integrations with Delta Lake, SQL or R (on Databricks' list, not Neon's). Pick Neon if you want serverless Postgres with full backend suite, serverless Postgres or integrations with Better Auth, Databricks or pgBouncer (on Neon's list, not Databricks').
Is Databricks or Neon free?+
Databricks has a free plan and paid plans. Neon has a free plan and paid plans.
Do Databricks and Neon integrate with the same tools?+
Their integration lists don't overlap: Databricks lists Delta Lake, SQL, R, Spark and 3 more; Neon lists Better Auth, Databricks and pgBouncer.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.