Hazelcast vs Timeplus Proton
On the evidence we track, Hazelcast leads this comparison with a composite score of 61/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for streaming analytics. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Hazelcast
LeaderA distributed, in-memory computing platform that combines caching, stream processing, and data integration to enable real-time applications with low-latency data access and instant decision-making.
Timeplus Proton
Timeplus Proton is an open-source streaming SQL engine that processes real-time data from various sources, enabling fast analytics, complex event processing, and feature engineering with millisecond latency in a lightweight, single-binary deployment.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- MongoDB
- Kafka
- S3
Hazelcast
Leader- Spring Integration
- Hadoop
- RDBMS
- JMS
- Oracle Database
- Microsoft SQL Server
- JDBC
Timeplus Proton
- ClickHouse
- MySQL
- Postgres
- Iceberg
- OpenSearch
- Redpanda Connect
- Splunk
- Elastic
- Slack
- Python SDK
- Java SDK
- Go SDK
- Apache Kafka
- PostgreSQL
- Amazon S3
- Apache Iceberg
- Redpanda
Hazelcast or Timeplus Proton: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.