
Stream into Bytewax with your free account
Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Bytewax using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines



Bytewax connector details
The Bytewax materialization connector in Estuary streams data from Estuary collections to Bytewax as Kafka-compatible messages using Dekaf. Bytewax can consume these streams in real time for Python-based dataflows, transformations, analytics, and other low-latency processing workloads.
- Kafka-compatible streaming from Estuary collections to Bytewax
- Real-time data delivery for Bytewax dataflow applications
- No separate Kafka broker required — Bytewax connects directly to Estuary’s Dekaf endpoint
- One or more Estuary collections can be exposed as Kafka-compatible topics
- Configurable topic names for individual collection bindings
- Kafka or CDC deletion modes for controlling how deleted records are represented
- Optional strict Kafka-compatible topic naming
- SASL/SSL authentication using the materialization name and an auth token
Bytewax connects to Estuary using the Dekaf Kafka-compatible endpoint with SASL_SSL and PLAIN authentication. By default, each binding’s topic name corresponds to its Estuary collection, though custom topic names can be configured.
How to connect your data source to Bytewax in 3 easy steps
- 1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Sync to Bytewax
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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HIGH THROUGHPUT
Distributed, event-driven architecture scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Bring data from databases, SaaS apps, APIs, files, and event streams into Bytewax, with capture and delivery cadence based on connector capabilities and pipeline configuration.
- Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Bytewax through Estuary.
- Transform and route data through Estuary collections before delivering it to Bytewax.
See what you can connect to Bytewax:
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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
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