Firebolt

Founded by Eldad Farkash & Saar Bitner in 2019

Run fast analytical SQL queries over large datasets using open table formats

Pricing model

Free Tier, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Firebolt to run analytical SQL queries across petabytes of structured data with minimal latency. It operates as a single binary on a local computer for testing or scales across multiple cloud nodes in production. The engine supports the PostgreSQL dialect, directly reads formats like Apache Iceberg and Parquet from cloud object storage, and separates compute from storage. You can perform real-time analytics, execute batch data transformations, query JSON data natively, and conduct low-latency similarity searches using built-in HNSW vector indexes.

What Firebolt does

Execute complex SQL join operations across distributed datasetsIndex float vector embeddings using HNSW for similarity matchingQuery Apache Iceberg tables stored in Amazon S3 or Google Cloud StorageSpin up isolated compute engines for different teams or departmentsParse and query semi-structured JSON records directly in SQLScale compute clusters dynamically to handle spikes in query trafficSingle binary execution for local development without external dependenciesPostgreSQL wire protocol and SQL dialect supportNative querying of Apache Iceberg and Parquet formats in object storageIndependent compute engine scaling from single nodes up to 256 nodesHNSW vector search indexes for fast similarity searchesDecoupled compute and storage architecture with workload isolationNative JSON data type support for nested document querying

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price

Self-hostedFree

Managed service (estimated engine cost) (per engine)$699 / mo

Tutorials & Demos

Frequently asked

PostgreSQL Tableau

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