Firebolt

active

by Firebolt Analytics · since 2020 · also known as Firebolt Core

Low-latency analytical database with a Postgres-compliant dialect, as cloud service or self-hosted Core.

columnar / olaprelationaldocumentdatabase enginesource-availablegrowing

Overview

Firebolt is an analytical database focused on low-latency, high-concurrency SQL for data-intensive applications. Its engine combines sparse primary indexes, aggregating indexes and a distributed vectorized executor over decoupled object storage, and its SQL dialect follows PostgreSQL. Beyond the managed cloud on AWS, Firebolt Core is a free, self-hosted edition that runs from a single binary to Kubernetes clusters and reads Iceberg. Firebolt says a fully open-source release is in preview. It targets customer-facing analytics and AI-agent workloads; the ecosystem is smaller than the big warehouses'.

Strengths & trade-offs

Strengths

  • +Sparse and aggregating indexes give low-latency queries at high concurrency
  • +PostgreSQL-compliant SQL dialect eases tooling and migration
  • +Free self-hosted Core edition with no usage limits
  • +Decoupled storage and compute with workload-isolated engines
  • +Reads Iceberg tables for lakehouse use

Trade-offs

  • −Smaller community and integration ecosystem than Snowflake or ClickHouse
  • −Core's license is source-available (ELv2), not OSI open source, until the OSS release ships
  • −Managed service runs only on AWS
  • −Index design still matters for best latency

Great for

  • +Customer-facing analytics in SaaS products
  • +High-concurrency dashboards
  • +Serving data to AI agents
  • +Self-hosted analytics on Kubernetes

Think twice for

  • −OLTP
  • −Teams wanting a mature, broad SaaS ecosystem
  • −Multi-cloud managed deployments

Capabilities

Native or official first-party support · 8 of 25 tracked

✓Joins
✓JSON
✓Materialized views
✓Columnar storage
✓Durable persistence
✓Compression
✓Encryption at rest
✓Role-based access
–Transactions
–Secondary indexes
–Full-text search
–Vector search
–Geospatial
–Change data capture
–Triggers
–Stored procedures
–TTL / expiry
–Pub/Sub
–In-memory
–Time travel
–Branching
–Online schema changes
–Streaming ingest
–Offline sync
–Runs in WebAssembly

Scale & consistency

Comfortable data size
Large · ≤ 1 PB
Horizontal scaling
Native
Multi-region
No
Transactions
Full ACID
Consistency
Strong
Schema
Strict
Architecture
Distributed, Shared storage, Single node
Query languages
SQL (PostgreSQL-compliant dialect)

Engines scale out by nodes and clusters; storage on S3. Core scales from one node to many on Kubernetes.

Deployment

Self-hosted Vendor-managed cloud Serverless Embedded Edge Kubernetes operator

available on · AWS

Ecosystem

apis & protocolsHTTP/REST API, JDBC, ODBC
client languagesPython, JavaScript, Java, Go, .NET

Alternatives to Firebolt

Compare all→
ClickHouseColumnar / OLAP69.8

Open-source columnar OLAP database known for very fast aggregations over billions of rows.

firebolt vs clickhouse →
SnowflakeColumnar / OLAP74.4

Fully managed cloud data warehouse with separate storage and compute, now spanning AI and apps.

firebolt vs snowflake →
StarRocksColumnar / OLAP15.6

MPP OLAP database with a fast vectorized engine, real-time upserts and native lakehouse queries.

firebolt vs starrocks →
Apache PinotColumnar / OLAP29.9

Real-time OLAP store from LinkedIn for user-facing analytics at very high query rates.

firebolt vs apache-pinot →
Amazon RedshiftColumnar / OLAP55.8

AWS's MPP columnar data warehouse, available as provisioned RA3 clusters or Serverless.

firebolt vs amazon-redshift →
DuckDBColumnar / OLAP63.7

In-process columnar SQL database: the SQLite of analytics, running inside your app or notebook.

firebolt vs duckdb →

Firebolt FAQ

What is Firebolt?

Firebolt is a columnar / OLAP database by Firebolt Analytics, first released in 2020. Firebolt is an analytical database focused on low-latency, high-concurrency SQL for data-intensive applications. Its engine combines sparse primary indexes, aggregating indexes and a distributed vectorized executor over decoupled object storage, and its SQL dialect follows PostgreSQL. Beyond the managed cloud on AWS, Firebolt Core is a free, self-hosted edition that runs from a single binary to Kubernetes clusters and reads Iceberg. Firebolt says a fully open-source release is in preview. It targets customer-facing analytics and AI-agent workloads; the ecosystem is smaller than the big warehouses'.

Is Firebolt open source?

Not in the OSI sense. Firebolt is source-available: you can read the code, but the license restricts some uses, typically offering it as a competing managed service. License: Elastic License 2.0 (Firebolt Core); open-source release in preview.

Does Firebolt support ACID transactions?

Yes. Firebolt supports full ACID transactions, with strong consistency.

Does Firebolt scale horizontally?

Firebolt scales horizontally out of the box, with built-in sharding or partitioning. It is comfortable at large scale (≤ 1 PB).

How can I run Firebolt?

You can self-host it and use the vendor's managed cloud. It is available on AWS.

What is Firebolt best for?

Firebolt is a strong fit for customer-facing analytics in SaaS products, high-concurrency dashboards and serving data to AI agents. Think twice for OLTP.

What are the best alternatives to Firebolt?

Common alternatives to Firebolt include ClickHouse, Snowflake, StarRocks, Apache Pinot and Amazon Redshift. The right choice depends on your workload, scale and hosting; WhichDB's smart match ranks them against your requirements.

How popular is Firebolt?

Firebolt ranks #334 of 844 databases on the WhichDB Score (7.8/100), and #32 among columnar / OLAP databases. The score combines public adoption signals such as package downloads, GitHub activity, job posts and developer discussion.