Sold by: Estuary
Managed right-time data pipelines to capture, transform (using streaming SQL) and keep destinations up to date.
4.8
Overview
Estuary makes building right-time data pipelines simple and cost effective.
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 |
Dimensions summary
This contract covers data processing measured in gigabytes. You commit to a set volume, priced in 1 TB (1,000 GB) blocks of data processed each month. Data processed means the amount captured, transformed, or delivered through your pipelines. Pricing scales with how much data you move: the more volume you commit to, the more processing you can run. This is a single usage-based dimension, so your cost tracks directly with your monthly data volume rather than a fixed set of tiers or plans.
Top-of-mind questions for buyers
Data processed means the volume of data sourced, transformed, and delivered through your pipelines, measured in gigabytes. You are billed once for each source, target, and the data you move. Adding a new target does not require re-extracting data from the source, so you only pay for the new data sent.
No. You are billed on the total volume of data processed, not on how often it moves. Real-time streaming and batch updates cost the same per gigabyte. You can set delivery cadence per destination to balance freshness against downstream compute costs, but the data processing charge tracks volume alone.
Estuary captures data from a source once and stores it as a collection in your cloud storage. You are billed once for that source data. Sending it to several destinations means you pay for the additional data delivered to each target, without re-extracting from the source each time.
estuary.dev
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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.
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Support
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AWS infrastructure support
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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
Real-time Data Capture
Scalable, managed capture from Kinesis, databases using CDC, and SaaS applications
Streaming SQL Processing
Streaming SQL engine for data transformation with materialized views
Multi-destination Materialization
Support for materializing data to warehouses (Redshift, Snowflake), vector databases, search systems, NoSQL stores, and streaming systems
Change Data Capture
Scalable CDC technology for capturing data changes from databases
Cost-optimized Pipeline Management
Managed data pipeline infrastructure designed for cost-effective real-time operations
Incremental Computation Engine
Efficiently maintains SQL materialized views as input data changes using an incremental computation framework based on Differential Dataflow and Timely Dataflow.
Data Source Connectivity
Supports streaming data ingestion from Kafka (MSK) and PostgreSQL (RDS/Aurora) with first-class integration including PostgreSQL replication feed connectivity.
SQL Query Capabilities
Executes complex SQL queries including twelve-way joins, multiple layers of aggregation, and Common Table Expressions (CTEs) with results kept up-to-date.
Protocol Compatibility
Implements PostgreSQL wire protocol compatibility, enabling any tool or driver that connects to PostgreSQL to integrate with the platform.
Security and Network Integration
Supports AWS PrivateLink for secure connections between AWS MSK clusters and the platform, with serializability guarantees equivalent to traditional databases.
SQL-Based Stream Processing
Managed streaming database service that enables building real-time applications using SQL queries on cloud infrastructure.
Data Collection and Transformation
Capability to collect and transform data from multiple streaming sources.
Materialized Views
Support for creating materialized views that enable incremental aggregation of streaming data.
Unified Data Querying
Unified querying interface that provides access to both existing database data and real-time data in transit from external sources.
Cloud-Hosted Infrastructure
Managed service deployed on public cloud infrastructure for stream processing and real-time data applications.
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?
Support actually has been more than outstanding, many hours spent talking with the estuary guys.
What do you dislike about the product?
As noted in the review no issues since that first outage
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.