Firebolt alternatives

3 tools to consider instead of Firebolt, shown against it.

Firebolt ClickHouse Cloud StarRocks Apache Doris
Vendor Firebolt Analytics, Inc. ClickHouse, Inc. StarRocks (Linux Foundation project; commercial backing from CelerData) Apache Software Foundation
Pricing model Usage-based Usage-based Open source + paid options Open source + paid options
Free tier Yes No Yes Yes
Deployment Cloud, Self-hosted Cloud Self-hosted Self-hosted
Open source Yes No Yes (Apache-2.0) Yes (Apache-2.0)
Best for Teams needing sub-second, high-concurrency analytics for customer-facing applications. Teams that want ClickHouse's performance without operating the database themselves. Teams wanting a single fast SQL engine across both freshly loaded data and existing lakehouse tables. Teams wanting one MPP engine for both real-time dashboards and ad hoc SQL reporting.
Pricing

Compute billed per second with auto-stop/resume; storage billed per GB-month as pass-through object storage; new accounts get free trial credits.

Managed / BYOC Usage-based, per-second compute

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Usage-based pricing across three tiers (Basic, Scale, Enterprise), calculated by an online calculator; Enterprise publishes example per-region compute and storage rates.

Basic Usage-based, via calculator
Scale Usage-based, via calculator
Enterprise From $0.39030/compute-unit-hour + $25.30/TB-month (AWS us-east-1 example)

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Free and open source; a commercial managed cloud version is offered separately by CelerData.

Pricing has not been verified yet — see the vendor's site.

Free and open source under the Apache Software Foundation; a commercial cloud version is offered separately by SelectDB.

Pricing has not been verified yet — see the vendor's site.

Features
  • Storage-compute separation with per-second billing
  • Auto-stop and auto-resume compute engines
  • Sparse and aggregating indexes for query acceleration
  • Bring-your-own-cloud deployment option
  • Semi-structured (JSON) data support
  • Standard SQL interface
  • Fully managed provisioning and autoscaling
  • Storage-compute separation on object storage
  • Automatic backups and version upgrades
  • Multi-cloud availability (AWS, GCP, Azure)
  • Multi-AZ high availability on higher tiers
  • SAML SSO, HIPAA/PCI compliance on Enterprise
  • Managed Postgres-compatible instance pricing
  • Vectorized execution with cost-based optimizer
  • Query federation across Iceberg, Hudi, Delta Lake and Hive
  • Materialized views that accelerate lakehouse queries
  • MySQL wire-protocol compatibility
  • Real-time streaming ingestion
  • Shared-data architecture separating compute and storage
  • Real-time streaming and micro-batch ingestion
  • MySQL wire-protocol compatibility
  • Federated queries over Hive, Iceberg and Hudi
  • Materialized views and automatic query rewrite
  • Vectorized execution engine
  • High-concurrency point lookups alongside large scans

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