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Apache Flink vs Apache Pinot

Apache Flink

flink.apache.org

Apache Pinot

pinot.apache.org

Side by side

FigureApache FlinkApache Pinot
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
Web—Yes
LinuxYes—
APIYesYes
Self-hostedYesYes
Plans published11
Spec score · Streaming Analytics Software8.0 (#7)8.1 (#4)
Spec score · Stream Analytics Software8.1 (#8)8.2 (#6)
Spec score · Big Data Analytics Software8.0 (#14)8.1 (#12)

Plans

Apache Flink

  • Apache FlinkFree

Apache Flink pricing →

Apache Pinot

  • Apache PinotFree

Apache Pinot pricing →

In their own words

Apache Flink

Apache Flink is a free, self-hosted framework and distributed processing engine for stateful computations over unbounded and bounded data streams. It supports event-driven applications, stream and batch analytics, and data pipelines and ETL. Listed correctness features include exactly-once state consistency, event-time processing and late-data handling. APIs include SQL for stream and batch data, DataStream and ProcessFunction for time and state. Operational capabilities cover flexible deployment, high availability, savepoints, scale-out architecture, very large state and incremental checkpoints. The project lists low latency, high throughput and in-memory computing. Flink runs in common cluster environments; for Kubernetes, the Kubernetes Operator is identified as the standard deployment mechanism. Connectors include AWS, Cassandra, Elasticsearch, Google Cloud PubSub, HBase, Hive, JDBC, Kafka, MongoDB, OpenSearch, Prometheus, Pulsar and RabbitMQ. Security requires configuration because SSL/TLS, REST authentication and SQL Gateway authentication are disabled by default. It is available at free under Apache License v2.

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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