Apache Druid vs StarRocks
Apache Druid
druid.apache.orgStarRocks
starrocks.ioSide by side
| Figure | Apache Druid | StarRocks |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · OLAP Software | 9.0 (#3) | 7.3 (#25) |
| Spec score · Analytics Databases | 9.0 (#3) | 7.3 (#22) |
| Spec score · Analytics Data | 9.0 (#3) | 7.3 (#25) |
| Spec score · OLAP Databases | 9.0 (#3) | 7.3 (#21) |
| Spec score · Analytical Data Store Software | 9.0 (#4) | 7.3 (#20) |
| Spec score · Columnar Databases | 9.0 (#6) | 7.3 (#21) |
| Spec score · Database Software | 8.7 (#18) | 7.6 (#64) |
| Deployment | Druid can run on commodity hardware in *NIX environments and is designed to run in AWS, GCP, Azure, and other cloud environments. | StarRocks can be deployed on public or private clouds and on-premises, with manual and Kubernetes deployment options. |
| Integrations | Core extensions support systems and formats including S3, HDFS, Google Cloud Storage, Azure, Kafka, Kinesis, Avro, ORC, Parquet, MySQL, and PostgreSQL. | The integrations documentation lists Kafka, Flink, Tableau, Power BI, Datadog, JDBC, Airflow, dbt, and Superset among its integrations and tools. |
| Intended workloads | The FAQ recommends considering Druid for user-facing applications, low-latency high-concurrency queries, instant data visibility, ad hoc exploration, and streaming data. | Documented use cases include multidimensional OLAP, real-time and high-concurrency analytics, ad hoc queries, and unified analytics. |
| License | Apache Druid and its documentation are licensed under the Apache License, Version 2.0. | StarRocks is licensed under Apache License 2.0. |
| Security | Security features include TLS, authentication, and authorization, but they are disabled by default and the documentation says to configure them for production. | StarRocks supports SSL-encrypted connections and external authentication integrations for LDAP, JWT, and OAuth 2.0. |
| Support | The project directs users to its community network for help using Druid. | The project directs users to GitHub issues and a Slack community for questions and feedback. |
Plans
In their own words
Apache Druid
Apache Druid is a free, open-source analytics database for querying streaming and batch data. It is designed to return OLAP queries in milliseconds, including on high-cardinality datasets with billions to trillions of rows. The project describes applications ranging from hundreds to 100,000 queries per second. Native Apache Kafka and Amazon Kinesis integrations support low-latency ingestion and querying as data arrives. Druid organizes ingested data into columnar, time-indexed, encoded and compressed storage. Queries can use Druid SQL or JSON-over-HTTP, and joins are available during ingestion or at query time. Its web console can load data, manage datasources and tasks, show server status and run queries. Extensions connect to storage, databases and formats including S3, HDFS, Azure, PostgreSQL, Avro, ORC and Parquet. Druid can be self-hosted on Linux, macOS and other Unix-like systems; Windows is not supported. The local quickstart needs at least 6 GiB of RAM and Java 17. Production security controls require configuration.