StreamSets Data Collector and Weld side by side: price, connectors and features, where each one is the better choice, and what Weld replaces.
StreamSets Data Collector
WeldAn animation of the migration. Your apps and databases sync through StreamSets Data Collector while Weld's team maps every connector, then both run in parallel into your warehouse until the row counts match, and finally StreamSets Data Collector is switched off while Weld keeps syncing and orchestrates the dbt run after each sync.
StreamSets Data Collector is an open-source data integration engine designed for continuous ingestion, transformation, and delivery. Weld puts ingestion, transformations, orchestration and reverse ETL in one product, with 300+ connectors built in house.
You need self-hosted deployment, where Weld runs in the cloud only.
You want ingestion, transformations, orchestration and reverse ETL in one product, on one bill.
To cover what Weld does, a team running StreamSets Data Collector adds another tool, each set up and monitored on its own.
| Capability | Weld | StreamSets Data Collector |
|---|---|---|
| Starting price | From $99/mo, billed annually | Free OSS Data Collector; enterprise DataOps Platform is custom-priced |
| Free tier | Free trial | Included |
| Connectors | 300+ | 200+ |
| Deployment | SaaS | SaaS, Self-hosted |
| Reverse ETL | Included | Not offered |
| Fastest sync frequency | 5 min | Real-time |
| Log-based CDC | Included, Business add-on or Enterprise | Included |
| History tables (SCD) | Included, from Business | Not offered |
| dbt Core | Included | Not offered |
| dbt Cloud | Included | Not offered |
| AI and agents | Native AI agent, MCP server, Connect API | Not offered |
| MCP server | Included, from Premium | Not offered |
| REST / OpenAPI | Included | Not offered |
| G2 rating | 4.8 | 4.5 |
| Start for free | Book a demo |
Both include: data ingestion (ELT), full refresh, incremental, transformations, CLI, orchestration, data lineage, version control.
Every plan starts with a 14-day free trial. Connect a source and a warehouse, and your first sync runs the same day. If you would rather see it first, a data engineer will walk you through it on your own setup.
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