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Firebolt vs Pinecone

Firebolt

firebolt.io

Pinecone

pinecone.io

Side by side

FigureFireboltPinecone
Price fromFree$20/mo
Free planYesYes
Free trial—Yes
Open source——
WebYesYes
macOS—Yes
LinuxYesYes
APIYesYes
Self-hostedYes—
Plans published15
Spec score · AWS Marketplace Software8.0 (#6)8.8 (#2)
Founded20192019
IntegrationsIt integrates with Looker, Tableau, Power BI, Postgres-compatible tools, Go, JDBC, .NET, Node.js, Python, Rust, SQLAlchemy, and REST API clients.The partner ecosystem covers AI and machine-learning tools, search, cloud infrastructure and services integrations.
ProductFirebolt is a high-performance, open-source analytical database for engineers with Postgres-compatible SQL.Pinecone describes its product as a fully managed vector database built for AI workloads.
SecurityFirebolt lists SOC 2 Type II, ISO 27001, ISO 27018, HIPAA support, GDPR alignment, MFA, RBAC, and encryption in transit and at rest.Pinecone states that it encrypts data at rest and in transit using AES-256 and supports API key roles and RBAC.
SupportThe pricing page lists audit logs, metrics, and support as managed-service capabilities.The Starter plan includes community support via Discord; paid plans include free support, and Enterprise includes Pro support.

Plans

Firebolt

  • Firebolt CoreFree

Firebolt pricing →

Pinecone

  • Builder$20 a month
  • Standard$50 a month
  • Enterprise$500 a month
  • StarterFree
  • Bring your own cloud (BYOC)Priced on request

Pinecone pricing →

In their own words

Firebolt

Firebolt is an open-source analytical database for engineers, with Postgres-compatible SQL and options for self-managed or managed deployment. It can run as a single binary on a laptop or scale to a cluster of hundreds of nodes in a customer’s cloud. Firebolt is designed for sub-second query latency and high-concurrency analytics, and supports Apache Iceberg and DuckLake using open storage standards. Deployment choices include a single binary, Helm chart, Kubernetes Operator, and managed service. Firebolt Core is free forever for self-hosted use, with no usage limits; it cannot be used to build a hosted SaaS that competes with Firebolt’s managed service. Managed compute is billed per second, with scale-to-zero, automatic start and stop, and autoscaling. Object storage is pass-through at $0.0264 / GB·mo, and the managed service includes $200 free credits. AI capabilities include query and embedding functions, vector search, an MCP Server, and a preview agent. Self-managed availability includes AWS and GCP, with Azure in preview; the managed service is currently AWS-only.

Visit firebolt.io

Pinecone

Pinecone is a fully managed vector database for AI workloads, available through web and API access. Its stated uses include semantic search, recommendations and retrieval-augmented generation. It supports dense, sparse and full-text indexes, metadata filters and namespaces; the maker says automatic indexing makes new writes searchable within seconds. Listed integrations include LangChain, LlamaIndex, OpenAI, Cohere, Databricks, Snowflake and Airbyte. The free Starter plan has limits including one project, two users, five indexes and 100 namespaces per index. Builder costs $20 a month. Standard is $50 a month minimum applied to usage, with usage above that minimum charged pay-as-you-go; Enterprise is $500 a month minimum on the same basis. Pinecone says it encrypts data at rest and in transit and supports API-key roles and RBAC. It lists SOC 2 Type II certification, HIPAA compliance with a BAA available on request, GDPR readiness and a 99.95% uptime SLA. Its TypeScript SDK is intended for server-side use because browser use can expose API keys.

Visit pinecone.io