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Manticore Search vs Pinecone

Manticore Search

manticoresearch.com

Pinecone

pinecone.io

Side by side

FigureManticore SearchPinecone
Price fromFree$20/mo
Free planYesYes
Free trial—Yes
Open source——
WebYesYes
WindowsYes—
macOSYesYes
LinuxYesYes
APIYesYes
Self-hostedYes—
Plans published35
Spec score · Search Databases8.0 (#13)8.8 (#4)
Founded20172019
HeadquartersChatham, Kent, United KingdomNew York City, New York, United States
IntegrationsThe site lists integrations including Logstash, Apache Superset, Grafana, Fluentbit, Kibana, Vector.dev, and Elasticsearch dump.The partner ecosystem covers AI and machine-learning tools, search, cloud infrastructure and services integrations.
ProductManticore Search is an open-source search database for full-text, vector, hybrid, real-time indexing, and analytical queries.Pinecone describes its product as a fully managed vector database built for AI workloads.
SecurityAuthentication and authorization are opt-in and support SQL/MySQL, HTTP/HTTPS, and replication-related access.Pinecone states that it encrypts data at rest and in transit using AES-256 and supports API key roles and RBAC.
SupportThe Community subscription includes public support channels and a free configuration review by the Manticore core team.The Starter plan includes community support via Discord; paid plans include free support, and Enterprise includes Pro support.
Vector searchVector search uses KNN with HNSW and supports cosine similarity, inner product, and squared L2 distance.The service stores dense and sparse vectors and performs approximate nearest-neighbor similarity search.

Plans

Manticore Search

  • CommunityFree
  • EnterprisePriced on request
  • StandardPriced on request

Manticore Search 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

Manticore Search

Manticore Search is an open-source database for full-text, vector, hybrid, real-time indexing, and analytical queries. Applications can use SQL, the MySQL protocol, or JSON APIs. Full-text tools include fuzzy matching, query suggestions, filtering, faceting, stemming, lemmatization, synonyms, and highlighting. Vector search uses KNN with HNSW and supports cosine similarity, inner product, and squared L2 distance. Manticore can read from MySQL, Postgres, MSSQL, ODBC, XML, CSV, and TSV, and lists integrations such as Logstash, Apache Superset, Grafana, Fluentbit, Kibana, Vector.dev, and Elasticsearch dump. Installation options cover Linux, macOS, Windows, and Docker. The site recommends WSL2 for compatibility; native Windows binaries require Docker for Manticore Buddy and do not support replication. Authentication and authorization are opt-in. Binary API connections are not secured by SSL, and the manual advises keeping API-capable listeners off the public Internet. The free Community plan includes public support channels and a configuration review. Standard and Enterprise support plans have prices available by inquiry.

Visit manticoresearch.com

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