Skip to content
SPECIFICTION
Get listed

Apache Pinot vs Confluent Cloud

Apache Pinot

pinot.apache.org

Confluent Cloud

confluent.io

Side by side

FigureApache PinotConfluent Cloud
Price fromFree$385/mo
Free planYesYes
Free trial—Yes
Open source——
WebYesYes
Linux—Yes
APIYesYes
Self-hostedYes—
Plans published14
Spec score · Streaming Analytics Software8.1 (#4)8.3 (#3)
Spec score · Stream Analytics Software8.2 (#6)8.4 (#5)
Founded20132014

Plans

Apache Pinot

  • Apache PinotFree

Apache Pinot pricing →

Confluent Cloud

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

Confluent Cloud pricing →

In their own words

Apache Pinot

Apache Pinot is a free, open-source distributed OLAP datastore for real-time analytics and user-facing workloads. It ingests streaming data from Apache Kafka, Apache Pulsar, and AWS Kinesis, plus batch data from Hadoop, Spark, Amazon S3, Azure ADLS, and Google Cloud Storage. Streaming and batch sources can be combined into one queryable table. Pinot provides SQL through a query editor and REST API, with JDBC, Java, Python, and Golang clients for applications. Project materials advertise P90 query latency in the tens of milliseconds on petabyte-scale data and capacity for hundreds of thousands of concurrent queries per second. Logical namespaces provide multitenancy. Security features include HTTP Basic Authentication, ACLs, TLS, mutual TLS, and row-level security filters in version 1.4.0 and later. Superset, Tableau, and Power BI can connect as BI tools. Official installation guidance covers Docker and Kubernetes with Helm. The self-hosted plan is listed at free.

Visit pinot.apache.org

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