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description= Firebolt is a high-performance, open source analytical database. It runs as a single binary on a laptop and scales to hundreds of nodes and petabytes of data on object storage in your own cloud.;
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what is firebolt firebolt documentation documentation index fetch the complete documentation index at llms txt use this file to discover all available pages before exploring further skip to main content firebolt documentation home page search k ask assistant sign up sign up search navigation overview what is firebolt overview what is firebolt quickstart architecture core concepts performance and observability overview query planning runtime storage and indexing security overview role based access control guides self managed overview firebolt operator helm chart standalone binaries connect over http engine arguments engine configuration web ui managed service organizations and accounts engine fundamentals engine consumption pricing and billing available regions support security operate engines manage organization objects guides manage organization sql dialect load data change data capture export data iceberg and data lake ai and machine learning develop with firebolt integrate with firebolt migrate to firebolt sql reference lexical structure explicit transactions data types information schema sql commands sql functions system settings release notes overview release notes archive api reference overview synchronous queries asynchronous queries uploading files openapi spec legal eu data act switching close on this page why firebolt deployment modes at a glance next steps overview what is firebolt firebolt is a high performance open source analytical database it runs as a single binary on a laptop and scales to hundreds of nodes and petabytes of data on object storage in your own cloud open source postgresql real time scale out iceberg firebolt oss is currently in preview ga launches in early august you can already deploy on your own hardware email us at support firebolt io if you want code access firebolt is built for engineers and ai agents low latency queries efficient elt and one engine that behaves the same from a laptop to a production cluster why firebolt open engine open storage the engine is open source and reads open formats parquet iceberg so there is no lock in deploy anywhere the same binary runs on a laptop vm bare metal kubernetes or any cloud managed and bring your own cloud byoc commercial offerings are also available price performance fast analytics on data intensive workloads at low cost real time and batch low latency queries on the custom storage format and batch elt over parquet and iceberg from one engine deployment modes single binary zero dependencies for local development and embedded use install with bash curl s https get firebolt io helm chart scale compute and storage independently to isolate workloads on kubernetes see the helm chart quickstart kubernetes operator run a full platform with workload isolation and dynamic scaling see the firebolt operator quickstart managed service start on the fully managed service with a 200 credit and no card see managed service for the architecture behind each mode see architecture at a glance attribute detail sql dialect postgresql compatible data volume gigabytes to petabytes architecture single binary built for object storage compute x86 arm 1 to 256 vcpu 1 to 256 nodes connectivity adbc json rest postgresql wire protocol storage custom format real time parquet and iceberg batch consistency acid transactions snapshot isolation deployment binary docker helm kubernetes operator managed service cloud aws ga gcp ga azure preview next steps connect an sdk and load data in the quickstart run firebolt in your own infrastructure with the self managed docs understand the engine in architecture and performance and observability was this page helpful yes no quickstart next i linkedin facebook youtube instagram x powered by this documentation is built and hosted on mintlify a developer documentation platform assistant responses are generated using ai and may contain mistakes
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