Move your data from Amazon Kinesis with your free account
Continuously capture streaming and batch change data from Amazon Kinesis and deliver it to any destination using Estuary's pre-built no-code connectors.
- <100ms Data pipelines
- 200+ Connectors
- 2-5x less than batch ELT
Amazon Kinesis connector details
Estuary’s Amazon Kinesis connector captures real-time data streams from Amazon Kinesis and syncs them directly into Estuary collections for immediate downstream use. It supports high-throughput JSON data ingestion across multiple streams in the same AWS region, making it ideal for building streaming analytics pipelines and real-time integrations.
- Continuous real-time ingestion from Amazon Kinesis streams
- Supports multiple streams in a single region
- Fully compatible with AWS IAM-based authentication
- Handles JSON-formatted event data efficiently
- Deployed securely in Estuary’s managed cloud or your own private cloud (BYOC), ensuring compliance and network isolation for sensitive workloads
How to connect Amazon Kinesis to your destination in 3 easy steps
- 1
Connect Amazon Kinesis as your data source
Securely connect Amazon Kinesis and choose the objects, tables, or collections you need to sync.
- 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 your destination
Continuously or periodically deliver data to 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 enable boundless scaling with exactly-once semantics.
DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.
REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes from Amazon Kinesis in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 200+ of batch and real-time connectors to move and transform data using ELT and ETL.
- Ensure your Amazon Kinesis insights always reflect the latest data by connecting your databases to Amazon Kinesis with change data capture.
- Or connect critical SaaS apps to Amazon Kinesis with real-time data pipelines.
See how you can integrate Amazon Kinesis with any destination:
or choose from these popular data sources:
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
Deliver real-time and batch data from DBs, SaaS, APIs, and more
Popular sources/destinations you can sync your data with
Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.
Apache Iceberg
Databricks
MotherDuck
MySQL
Amazon Redshift
PostgreSQL
Elastic
Snowflake
Google Bigquery
HubSpot
Dremio
AWS OpenSearch
Amazon EventBridge
Amazon SNS
Google Bigtable
ClickHouse
Bauplan
Google Spanner
SingleStore
Supabase
Azure Blob Storage Parquet
RisingWave
Materialize
Imply Polaris
ClickHouse Kafka API
Bytewax
SingleStore Dekaf
StarTree
Tinybird
Azure Fabric Warehouse
Dekaf
Apache Kafka
Amazon S3 Iceberg (delta updates)
Google Cloud Storage CSV
Google GCS Parquet
Amazon S3 CSV
Amazon RDS for PostgreSQL
Amazon RDS for SQL Server
Amazon RDS for MariaDB
Amazon RDS for MySQL
Google Cloud SQL for SQL Server
Google Cloud SQL for PostgreSQL
Google Cloud SQL for MySQL
Oracle MySQL Heatwave
Amazon Aurora for MySQL
MariaDB
Amazon DynamoDB
SQL Server
HTTP Webhook
Pinecone
Slack
Azure Cosmos DB
Amazon Aurora for Postgres
SQLite
MongoDB
Alloy DB for Postgres
Timescale
Google PubSub
Google Sheets
Amazon S3 Parquet