Apache Pinot vs MariaDB Enterprise Analytics
Apache Pinot
pinot.apache.orgMariaDB Enterprise Analytics
mariadb.comSide by side
| Figure | Apache Pinot | MariaDB Enterprise Analytics |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | — | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Columnar Databases | 8.2 (#10) | 6.8 (#23) |
| Deployment | The official quick install supports Docker and Kubernetes with Helm. | MariaDB Enterprise is described as production-grade open source that runs on premises or in the cloud, on servers or containers, and on HDDs or SSDs. |
| Purpose | Apache Pinot is a real-time distributed OLAP datastore for low-latency, high-throughput analytics and user-facing workloads. | MariaDB Enterprise can be deployed as a columnar database for real-time analytics using distributed data and massively parallel processing to run interactive ad hoc queries on very large datasets with standard SQL. |
| Support | The project provides Slack, mailing lists, GitHub Issues, and community meetups for questions and discussion. | Enterprise subscriptions include 24×7 technical support, and customers can add consulting services and a team of remote DBAs, enterprise architects, and migration managers. |
Plans
MariaDB Enterprise Analytics
- Enterprise PlatformPriced on request
- Enterprise Platform PlusPriced on request
- Enterprise Platform UltimatePriced on request
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.
MariaDB Enterprise Analytics
MariaDB Enterprise Analytics has no write-up on Specifiction yet; its figures are above.