Head-to-head · Stream Processing Software
Azure Stream Analytics vs Hazelcast Platform
Azure Stream Analytics leads on 0 checks, Hazelcast Platform on 1, and 3 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAzure Stream Analytics · 9.1/10
- Free planonly Hazelcast Platform
Azure Stream Analytics scores higher on our rubric for stream processing software: 9.1 against 8.3 out of 10; our editors rank them #3 and #10.
Hazelcast Platform offers free plan; Azure Stream Analytics doesn't.
Azure Stream Analytics is the better fit for azure users preferring managed SQL streaming. Hazelcast Platform is the better fit for teams needing streaming plus distributed state.
- Azure Stream Analytics fits best
Azure users preferring managed SQL streaming
- Hazelcast Platform fits best
Teams needing streaming plus distributed state
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Side by side
| Feature | Azure Stream Analytics 9.1/10 Visit ↗ | Hazelcast Platform 8.3/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.1 | 8.3 |
| Ranking | #3 in Stream Processing Software | #10 in Stream Processing Software |
| Best for | Azure users preferring managed SQL streaming | Teams needing streaming plus distributed state |
| Pricing model | Paid | Free plan + paid |
| Starting price | — | — |
| Free plan | — | ✓ (best) |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Windows, macOS, Linux |
| Support | Docs | Tickets, Community, Docs · 24/7 |
| Integrations | 6 integrations | 30+ integrations |
| Built for | Small business, Mid-market, Enterprise | Mid-market, Enterprise |
| Features Azure Stream Analytics 3/3 · Hazelcast Platform 3/3 | ||
| SQL processing | ✓ | ✓ |
| Stateful processing | ✓ | ✓ |
| Event-time windows | ✓ | ✓ |
| Specs | ||
| Deployment model | Hybrid | Hybrid |
| Supported languages | SQL, JavaScript, C# | Java, SQL |
| Source connectors | 5 | Not checked yet |
| Our review | ||
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| Cons |
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| Our verdict | Azure Stream Analytics is a managed service for processing streaming event data in real time. It is designed for teams that want SQL-based transformations, aggregations, joins, and analysis without managing a stream-processing cluster.… Read the review → |
Hazelcast Platform combines a distributed stream-processing engine with an in-memory data store for real-time applications. It is aimed at teams that need streaming and distributed state in one self-managed platform, with support for… Read the review → |
Strengths and trade-offs
Azure Stream Analytics — where it wins
- SQL windows, event-time handling, stateful aggregates, and temporal joins
- Native adapters for Event Hubs, IoT Hub, Storage, Kafka, and Azure SQL
- Runs in Azure or on Azure IoT Edge devices
Where it doesn't
- No product-level free plan
- Dedicated tiers require at least 12 or 36 streaming units
- Best fit depends on Azure services and ecosystem alignment
Hazelcast Platform — where it wins
- Stream processing with SQL windows, joins, and stateful aggregations
- Distributed in-memory storage supports real-time application architectures
- Broad connectors and exactly-once or at-least-once guarantees
Where it doesn't
- Enterprise Edition pricing requires contacting Hazelcast
- Supported programming languages are Java and SQL
- The platform may exceed the needs of teams seeking narrow stream processing
- Azure Stream Analytics9.1/10 · Paid
A strong Azure-native choice for SQL-based, stateful stream processing.
Visit siteFull verdict → - Hazelcast Platform8.3/10 · Free plan
A strong fit for teams combining streaming, SQL, state, and distributed storage.
Visit HazelcastFull verdict →
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All stream processing software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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