Amazon Managed Service for Apache Flink vs Apache Druid
Amazon Managed Service for Apache Flink
aws.amazon.comApache Druid
druid.apache.orgSide by side
| Figure | Amazon Managed Service for Apache Flink | Apache Druid |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Streaming Analytics Software | 7.5 (#15) | 9.0 (#2) |
| Spec score · Stream Analytics Software | 7.5 (#17) | 9.0 (#2) |
| Integrations | Listed integrations include Amazon S3, Amazon MSK, Amazon OpenSearch Service, DynamoDB, Kinesis Data Streams, Kinesis Data Firehose, CloudWatch, and AWS Glue Schema Registry. | Core extensions support systems and formats including S3, HDFS, Google Cloud Storage, Azure, Kafka, Kinesis, Avro, ORC, Parquet, MySQL, and PostgreSQL. |
| Purpose | The service runs Apache Flink applications to transform and analyze streaming data in real time. | Apache Druid is a high-performance real-time analytics database for sub-second queries on streaming and batch data at scale. |
| Security | Data at rest and in transit is encrypted in the service, and AWS describes security as a shared responsibility between AWS and the customer. | Security features include TLS, authentication, and authorization, but they are disabled by default and the documentation says to configure them for production. |
Plans
Amazon Managed Service for Apache Flink
- Usage-based pricingPrice not published
In their own words
Amazon Managed Service for Apache Flink
Amazon Managed Service for Apache Flink has no write-up on Specifiction yet; its figures are above.
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.