Apache Pinot vs Apache Samza
Apache Pinot
pinot.apache.org
Apache Samza
samza.apache.orgSide by side
| Figure | Apache Pinot | Apache Samza |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Streaming Analytics Software | 8.1 (#4) | 7.8 (#11) |
| Spec score · Stream Analytics Software | 8.2 (#6) | 7.9 (#14) |
| Spec score · Big Data Analytics Software | 8.1 (#12) | 7.8 (#18) |
| Deployment | The official quick install supports Docker and Kubernetes with Helm. | Samza supports deployment on YARN, Kubernetes, or as a standalone library, and its documentation describes running applications across public clouds, containerized environments, and bare-metal hardware. |
| Founded | 2013 | 2013 |
| Purpose | Apache Pinot is a real-time distributed OLAP datastore for low-latency, high-throughput analytics and user-facing workloads. | Apache Samza is a distributed stream-processing framework for building stateful applications that process data in real time from multiple sources. |
| Support | The project provides Slack, mailing lists, GitHub Issues, and community meetups for questions and discussion. | The project directs users to a user mailing list subscribed to by Samza users, contributors, and committers. |
Plans
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.
Apache Samza
Apache Samza is a free, open-source distributed framework for applications that process data from multiple sources in real time. It supports stateless and stateful workloads, using a scalable, fault-tolerant state store for retained application state. Developers can use the high-level Streams API, lower-level Task API, Samza SQL or an Apache Beam API; Beam support for Python and Go is described as work in progress. Java and Scala applications can embed Samza as a lightweight client library. Built-in integrations include Apache Kafka, AWS Kinesis, Azure Event Hubs, Elasticsearch and Apache Hadoop, with custom sources also supported. Samza runs on YARN, Kubernetes or as a standalone library across public-cloud, containerized and bare-metal environments. Host affinity and incremental checkpointing help recover tasks and their state after failures. Processing is at least once. The project supports SQL processing and event-time windows, and its documentation describes applications with several terabytes of state and thousands of cores. Samza is self-hosted on Linux and distributed as source artifacts and through Maven; there is no binary release at this time.