Apache Pinot vs Ververica Platform
Apache Pinot
pinot.apache.orgVerverica Platform
ververica.comSide by side
| Figure | Apache Pinot | Ververica Platform |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Streaming Analytics Software | 8.1 (#4) | 7.2 (#19) |
| Spec score · Stream Analytics Software | 8.2 (#6) | 7.2 (#22) |
| Deployment | The official quick install supports Docker and Kubernetes with Helm. | Deployment options include managed cloud, BYOC in AWS, Azure, or GCP, and self-managed deployment on Kubernetes, on-premises, or air-gapped infrastructure. |
| Purpose | Apache Pinot is a real-time distributed OLAP datastore for low-latency, high-throughput analytics and user-facing workloads. | Ververica Platform is an enterprise streaming and batch platform built by the original creators of Apache Flink. |
| Support | The project provides Slack, mailing lists, GitHub Issues, and community meetups for questions and discussion. | 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 Pinot
Apache Pinot is a free, open-source distributed OLAP datastore for real-time analytics and user-facing workloads. It ingests streaming data from Apache Kafka, Apache Pulsar, and AWS Kinesis, plus batch data from Hadoop, Spark, Amazon S3, Azure ADLS, and Google Cloud Storage. Streaming and batch sources can be combined into one queryable table. Pinot provides SQL through a query editor and REST API, with JDBC, Java, Python, and Golang clients for applications. Project materials advertise P90 query latency in the tens of milliseconds on petabyte-scale data and capacity for hundreds of thousands of concurrent queries per second. Logical namespaces provide multitenancy. Security features include HTTP Basic Authentication, ACLs, TLS, mutual TLS, and row-level security filters in version 1.4.0 and later. Superset, Tableau, and Power BI can connect as BI tools. Official installation guidance covers Docker and Kubernetes with Helm. The self-hosted plan is listed at free.
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.