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
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Delivery method
Deployed on AWS
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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
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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
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.
Retail
With quick initial setup, moving to Estuary is a low-hanging fruit to decrease costs
Reviewed on Dec 08, 2025
Review provided by G2
What do you like best about the product?
For initial and basic setup, Estuary offers a fast and cost-effective way to integrate major data sources. I was able to connect my MongoDB to Snowflake for analytics purposes within just a few hours, which is something I haven't seen any other tool accomplish. I switched from Fivetran to Estuary to achieve lower latency and to significantly reduce my expenses for both Fivetran and Snowflake.
After more than a year, I am using more data sources and destinations on daily basis. In this period, error messages in the UI have become more helpful (yet still are not perfect) when debugging connections to a new data source.
The founder, David, is very hands-on and has been extremely helpful, taking the time to explain configuration quirks and respond to feature requests on several occasions. The Slack channel serves as the main and efficient way to get support.
After more than a year, I am using more data sources and destinations on daily basis. In this period, error messages in the UI have become more helpful (yet still are not perfect) when debugging connections to a new data source.
The founder, David, is very hands-on and has been extremely helpful, taking the time to explain configuration quirks and respond to feature requests on several occasions. The Slack channel serves as the main and efficient way to get support.
What do you dislike about the product?
Setting up the tool does demand a certain amount of data engineering work. While this is likely true for any platform aimed at achieving a solid level of data governance, I found the process of de-nesting JSON using slashes in variable names, as well as removing or renaming variables via the CLI, to be conceptually challenging-especially during my migration from Fivetran.
What problems is the product solving and how is that benefiting you?
Lowering data replication latency and warehousing costs in Snowflake without need to write any connectors at my core application level.
Computer Software
Easy Setup and Excellent Support at a Great Price
Reviewed on Dec 08, 2025
Review provided by G2
What do you like best about the product?
Easy to setup. Pricing for starter not scary like Fivetran. Great support in slack.
What do you dislike about the product?
- Hope their can be more connectors. Like databricks to postgres
- Backfill is a bit slow (take 3-4 days to backfill a 500GiB table)
- Backfill is a bit slow (take 3-4 days to backfill a 500GiB table)
What problems is the product solving and how is that benefiting you?
Data replication from live database to analytic/data warehouse
Mirza C.
Effortless to Use, Perfect for Beginners
Reviewed on Dec 08, 2025
Review provided by G2
What do you like best about the product?
Ease of use. even though i didn't really have much experience with data pipelines i was able to get things running and have not had any major issues. Easy to use, Also i hardly ever have to come in and adjust things
What do you dislike about the product?
Pretty happy with what the product is. But if the guys do read this i would love some consistently updated "how to" video content from the team . I feel like theres so much more i could be doing but since i usually struggle to find any online content i let things be . Even if they had some course available because i believe that the beauty of this product is that it has a low barrier to entry which means lots of non-data people will use it . So will be great to have some quality training material
What problems is the product solving and how is that benefiting you?
Data pipelines. Work at what was initially a sort of start up . So our data team was like 2 people. We needed to pull in lots of data from 3rd party services but didn't have the man power to build and maintain so many pipelines , thus estuary was a huge win as it allowed us to keep the team lean but the operations flowing.