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Confluent Cloud vs Pinecone

Confluent Cloud

confluent.io

Pinecone

pinecone.io

Side by side

FigureConfluent CloudPinecone
Price from$385/mo$20/mo
Free planYesYes
Free trialYesYes
Open source——
WebYesYes
macOS—Yes
LinuxYesYes
APIYesYes
Plans published45
Spec score · AWS Marketplace Software8.5 (#5)8.8 (#2)
Company headquartersConfluent lists its headquarters at 899 West Evelyn, Mountain View, California 94041.LinkedIn lists New York, New York as headquarters and the company size as 51–200 employees.
Founded20142019
HeadquartersMountain View, California, USANew York City, New York, United States
IntegrationsConfluent Cloud offers pre-built and fully managed Kafka connectors for sources and sinks such as databases, data lakes, and data warehouses.The partner ecosystem covers AI and machine-learning tools, search, cloud infrastructure and services integrations.
ProductConfluent Cloud is a fully managed deployment of Confluent’s data streaming platform, powered by a serverless Apache Kafka engine.Pinecone describes its product as a fully managed vector database built for AI workloads.
SecurityThe page names RBAC, self-managed encryption keys, client-side field-level encryption, and audit logs among its security features.Pinecone states that it encrypts data at rest and in transit using AES-256 and supports API key roles and RBAC.

Plans

Confluent Cloud

  • BasicFree
  • Standard$385 a month
  • Enterprise$895 a month
  • Confluent CloudFree

Confluent Cloud 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

Confluent Cloud

Confluent Cloud is a managed data streaming platform built on a serverless Apache Kafka engine. It is designed for real-time streaming, event-driven applications, analytics, and AI/ML workloads. Cluster choices include Basic, Standard, Enterprise, and Freight, as well as Dedicated clusters with pre-provisioned resources. Confluent says its cloud-native engine adjusts cluster infrastructure to workload needs. Cluster Linking replicates, synchronizes, and shares data across regions, public clouds, and organizations. The service includes managed Kafka connectors for databases, data lakes, and warehouses, serverless processing with Apache Flink, and a managed Stream Governance suite. Tableflow can materialize Kafka topics and schemas as Apache Iceberg and Delta Lake tables. Listed security features include RBAC, self-managed encryption keys, client-side field-level encryption, and audit logs. Users can manage clusters and topics through a web UI or CLI; supported client languages include Java, Python, .NET, Go, Node.js, and C/C++. It is available on AWS, Azure, and Google Cloud across more than 100 regions. A free plan is available; paid plans start at $385/mo, and new signups receive a 30-day trial.

Visit confluent.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