Apache Druid vs Databend
Apache Druid
druid.apache.org
Databend
databend.comSide by side
| Figure | Apache Druid | Databend |
|---|---|---|
| Price from | Free | $23/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | Yes |
| Web | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 5 |
| Spec score · Analytical Data Store Software | 9.0 (#4) | 9.2 (#1) |
| Spec score · Columnar Databases | 9.0 (#6) | 9.2 (#3) |
| Integrations | Core extensions support systems and formats including S3, HDFS, Google Cloud Storage, Azure, Kafka, Kinesis, Avro, ORC, Parquet, MySQL, and PostgreSQL. | Databend says it has more than 50 integrations spanning relational databases, streams and orchestrators, lake formats, cloud storage, visualization tools, languages and drivers. |
| License | Apache Druid and its documentation are licensed under the Apache License, Version 2.0. | The repository is Apache 2.0, while a small set of enterprise features uses the Elastic 2.0 license. |
| Support | The project directs users to its community network for help using Druid. | The company page advertises 24/7 support, while plan details specify tier-specific response commitments. |
| What it does | Apache Druid is a real-time analytics database for sub-second queries on streaming and batch data at scale. | Databend is a Rust-based, cloud-native object-storage data warehouse combining BI analytics, vector search, full-text search and geospatial analysis through Snowflake-compatible SQL. |
Plans
Databend
- CommunityFree
- Databend CommunityFree
- Business$23 a month
- Personal$23 a month
- DedicatedPriced on request
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.