Apache Druid vs Ververica Platform
Apache Druid
druid.apache.orgVerverica Platform
ververica.comSide by side
| Figure | Apache Druid | Ververica Platform |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Stream Analytics Software | 9.0 (#2) | 7.2 (#22) |
| Spec score · Streaming Analytics Software | 9.0 (#2) | 7.2 (#19) |
| Deployment | Druid can run on commodity hardware in *NIX environments and is designed to run in AWS, GCP, Azure, and other cloud environments. | Deployment options include managed cloud, BYOC in AWS, Azure, or GCP, and self-managed deployment on Kubernetes, on-premises, or air-gapped infrastructure. |
| Integrations | Core extensions support systems and formats including S3, HDFS, Google Cloud Storage, Azure, Kafka, Kinesis, Avro, ORC, Parquet, MySQL, and PostgreSQL. | The integrations page describes 100+ pre-built connectors for databases, message queues, data lakes, cloud services, and REST APIs. |
| Purpose | Apache Druid is a high-performance real-time analytics database for sub-second queries on streaming and batch data at scale. | Ververica Platform is an enterprise streaming and batch platform built by the original creators of Apache Flink. |
| Security | Security features include TLS, authentication, and authorization, but they are disabled by default and the documentation says to configure them for production. | The platform page states SOC 2 and ISO 27001 certification and lists multi-tenant role-based access control. |
| Support | The project directs users to its community network for help using Druid. | Ververica advertises 24/7 enterprise support from people who wrote the code. |
Plans
Ververica Platform
- Community EditionFree
- Stream EditionPriced on request
- Ververica CloudPrice not published
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.
Ververica Platform
Ververica Platform combines stream and batch processing in one runtime for enterprise production workloads. Built by the original creators of Apache Flink, it is described as fully compatible with Flink APIs, SQL, and connectors, allowing existing Flink jobs to run without code changes. Materialized tables maintain themselves; listed operational features include auto-scaling, auto-recovery, and upgrades without downtime. Deployment choices include managed cloud, BYOC in AWS, Azure, or GCP, and self-managed Kubernetes, on-premises, or air-gapped infrastructure. Its integrations catalog describes more than 100 pre-built connectors for databases, message queues, data lakes, cloud services, and REST APIs. Connector features include exactly-once delivery and event-time watermark strategies. The platform lists SOC 2 and ISO 27001 certification and multi-tenant role-based access control. Managed cloud lists AES-256 encryption at rest, TLS 1.3 in transit, GDPR compliance, and HIPAA eligibility. Community Edition is free; a free license may be required and its terms may restrict use. Pricing is on request for other options; managed-service use is subject to documented limits.