Sold by: Estuary
Managed real-time data pipelines to capture, transform (using streaming SQL) and materialize data to destinations.
4.7
Overview
Estuary makes building real-time data pipelines more cost effective and just as simple as batch data.
Capture from systems like Kinesis, databases using scalable CDC and SaaS applications. Transform your data using streaming SQL and materialize views to destinations of your choice like warehouses, key value stores, vector DB's, search or other destinations.
Highlights
- Scalable, managed real-time capture from Kinesis, SaaS systems and databases
- Streaming SQL that is scalable and cost effective
- Materialization to warehouses like Redshift or Snowflake, Vector DBs, streaming systems, search systems and even NoSQL stores
Details
Sold by
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
1 TB data Processed | Amount of data captured, transformed or materialized every month. | $750.00 |
Vendor refund policy
Refunds offered
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Data Capture Mechanism
Supports scalable real-time data capture from multiple sources including Kinesis, databases, and SaaS applications using Change Data Capture (CDC)
Streaming Transformation
Enables data transformation using streaming SQL with scalable processing capabilities
Multi-Destination Materialization
Supports data materialization to diverse destinations including data warehouses, vector databases, search systems, and NoSQL stores
Real-Time Processing
Provides continuous, low-latency data pipeline processing with streaming architecture
Source Connectivity
Offers comprehensive integration capabilities across different data sources and systems using native connectors
Incremental Computation
Uses an efficient incremental computation engine to maintain materialized views as input data changes
Stream Data Integration
Supports real-time data streaming from Kafka and PostgreSQL sources with native connection capabilities
SQL Processing
Provides full SQL capabilities including complex joins, multiple aggregation layers, and Common Table Expressions (CTEs)
Database Compatibility
Implements PostgreSQL wire protocol, enabling compatibility with existing Postgres tools and drivers
Consistency Mechanism
Maintains serializability guarantees equivalent to traditional database systems during data processing
Stream Data Processing
Enables collection and transformation of data from streaming sources using SQL
Materialized View Creation
Supports incremental data aggregation through dynamic materialized view generation
Unified Data Querying
Provides seamless querying across existing database data and real-time streaming data sources
SQL-Based Stream Processing
Utilizes standard SQL for stream processing and data manipulation operations
Cloud-Native Architecture
Designed as a managed service with infrastructure scalability and distributed processing capabilities
Standard contract
No
Customer reviews
Otto B.
Outstanding Support and Essential Backfill Features
Reviewed on Jan 07, 2026
Review provided by G2
What do you like best about the product?
Easy to setup as most products in this space are.
Two great things:
- Extremely responsive support team in our (Australian) Timezone via their Slack. First responders are technically minded and know when to raise an issue to engineering and occasionally to the co-founder.
- The merge backfilling mode + the postgres minimum xmin backfill setting allows for incremental backfills - say only data in the last day. Coming from a comparable ingestion tool - Stitch - this feature was sorely needed. Recently I used it to prevent full re-ingestion after postgres upgrades.
There was a wide outage affecting many ingestions in estuary at the beginning of 2025. This meant we had missing data. But support + technical features (above two points) meant we were able to resolve the issue with little downtime and minimised cost.
Two great things:
- Extremely responsive support team in our (Australian) Timezone via their Slack. First responders are technically minded and know when to raise an issue to engineering and occasionally to the co-founder.
- The merge backfilling mode + the postgres minimum xmin backfill setting allows for incremental backfills - say only data in the last day. Coming from a comparable ingestion tool - Stitch - this feature was sorely needed. Recently I used it to prevent full re-ingestion after postgres upgrades.
There was a wide outage affecting many ingestions in estuary at the beginning of 2025. This meant we had missing data. But support + technical features (above two points) meant we were able to resolve the issue with little downtime and minimised cost.
What do you dislike about the product?
They are a fairly new product and as mentioned we encountered a outage in march 2025, since then there has been no issues affecting us.
What problems is the product solving and how is that benefiting you?
Easy deata ingestion
Carlo P.
Exceptional Reliability and Support at an Affordable Price Point
Reviewed on Dec 31, 2025
Review provided by G2
What do you like best about the product?
The reliability of the platform and the responsiveness of support.
What do you dislike about the product?
Creating templates for transformations. I would prefer an easier and quicker GUI based approach.
What problems is the product solving and how is that benefiting you?
We are moving real time data from Azure SQL to Snowflake. This has avoided us having to either find an open source solution or creating our own and maintaining it due to costs.
Jack K.
Lightning-Fast Setup for Effortless Pipelines
Reviewed on Dec 22, 2025
Review provided by G2
What do you like best about the product?
The speed of implementation. It takes a matter of minutes to set up a pipeline from source to destination. The also have great customer support on Slack.
What do you dislike about the product?
Missing Timescale as a source. Ideally would be able to modify a connector to not be on 24/7 for cases where daily data extracts are required.
What problems is the product solving and how is that benefiting you?
Allows us to consolidate our various data sources into a single data warehouse, thereby enabling business analytics.
Retail
Great for Streaming Sources, but UI Needs Improvement
Reviewed on Dec 18, 2025
Review provided by G2
What do you like best about the product?
For streaming/CDC sources, estuary is a no brainer. Very easy to implement and monitor usage. Costs are reasonable and predictable
What do you dislike about the product?
The UI can be a little challenging sometimes, but they are quick to make changes based on feedback.
What problems is the product solving and how is that benefiting you?
Estuary makes it easy to quickly ingest data sources
Clayton W.
Effortless Data Replication and Cost Savings with Estuary
Reviewed on Dec 17, 2025
Review provided by G2
What do you like best about the product?
Estuary eliminates the need to stand up and maintain costly infrastructure, like kafka topics and data pipelines. It's replication from any source to cloud data warehouses made simple and very cost effective.
Implementation and integration is also dead easy!
Lastly, their customer support teams are very responsive and resolve issues immediately.
Implementation and integration is also dead easy!
Lastly, their customer support teams are very responsive and resolve issues immediately.
What do you dislike about the product?
The UI needs a little polishing but that will come with time. It's lacking in data observability and pipeline observability features, but those are also coming and luckily the service is very reliable.
What problems is the product solving and how is that benefiting you?
We are using snowflake to serve customer facing analytics and needed up-to-date data from our main product database which resides in AWS aurora. Since we're a small startup, we didn't have the time and resources to dedicate to costly middleware infrastructure builds and maintenance, like kafka topics and data pipelines that consume from them. We tried using Airbyte and experienced very poor performance and failures with binlogs.
Fivetran is way too expensive given the size and frequency of our data loads.
Estuary is a perfect solution and provides near real time data replication at the right price.
Fivetran is way too expensive given the size and frequency of our data loads.
Estuary is a perfect solution and provides near real time data replication at the right price.