Streaming Analytics
Top signal weightsIntegrations 0.16Package downloads 0.14Development activity 0.09Capabilities 0.08
Rank by intent
Balanced is the citeable default. The facts never change, only how the signals are weighted.
| # | Software | Score | Confidence |
|---|---|---|---|
| 1 | MaterializeA real-time SQL engine that maintains continuously-updated data views across distributed sources | 68 | low · 42%updating |
| 2 | Amazon Managed Service for Apache FlinkFully managed Apache Flink stream processing service | 65 | low · 42%updating |
| 3 | Apache Storm | 55 | low · 28%updating |
| 4 | RisingWaveStream processing with SQL for real-time data applications | 52 | medium · 52%updating |
| 5 | Azure Stream AnalyticsReal-time data processing and analytics delivered as a managed cloud service without server management overhead | 47 | low · 33%updating |
| 6 | Hazelcast | 42 | medium · 55%updating |
| 7 | Google Cloud DataflowA serverless, fully managed platform for processing both batch and streaming data at scale | 17 | low · 3%updating |
| 8 | Timeplus ProtonA single-binary streaming SQL engine for processing continuous data streams in real-time | 11 | low · 15%updating |
Ranked by the Vioscale composite: independent signals, not user reviews. See the method.
Streaming Analytics compared
Head-to-head on the attributes that matter here, with a source and date on every value.
- Amazon Managed Service for Apache FlinkvsMaterialize65/68
- Apache StormvsMaterialize55/68
- MaterializevsRisingWave68/52
- Azure Stream AnalyticsvsMaterialize47/68
- HazelcastvsMaterialize42/68
- Amazon Managed Service for Apache FlinkvsApache Storm65/55
- Amazon Managed Service for Apache FlinkvsRisingWave65/52
- Amazon Managed Service for Apache FlinkvsAzure Stream Analytics65/47
- Amazon Managed Service for Apache FlinkvsHazelcast65/42
- Apache StormvsRisingWave55/52