Apache Druid vs Quix Streams
Apache Druid
druid.apache.orgQuix Streams
quix.ioSide by side
| Figure | Apache Druid | Quix Streams |
|---|---|---|
| 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 · Stream Analytics Software | 9.0 (#2) | 7.4 (#20) |
| Integrations | Core extensions support systems and formats including S3, HDFS, Google Cloud Storage, Azure, Kafka, Kinesis, Avro, ORC, Parquet, MySQL, and PostgreSQL. | It can connect to Quix Cloud, Redpanda Cloud, other supported Kafka-compatible brokers, or a self-hosted broker. |
| Security | Security features include TLS, authentication, and authorization, but they are disabled by default and the documentation says to configure them for production. | Quix's platform security page says it prefers TLS 1.3, permits TLS 1.2 as fallback, and does not support TLS 1.1 or older. |
| Support | The project directs users to its community network for help using Druid. | The quickstart directs users with problems to create an issue or ask in the Quix Community Slack channel `#quix-help`. |
| What it does | Apache Druid is a real-time analytics database for sub-second queries on streaming and batch data at scale. | Quix Streams is a Python library for processing data in Kafka and building real-time streaming applications. |
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.