Listing Thumbnail

    Estuary

     Info
    Sold by: Estuary 
    Managed right-time data pipelines to capture, transform (using streaming SQL) and keep destinations up to date.
    4.7

    Overview

    Play video

    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

    Sold by

    Delivery method

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    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.
    Financing for AWS Marketplace purchases

    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.

    1-month contract (1)

     Info
    Dimension
    Description
    Cost/month
    1 TB data Processed
    Amount of data captured, transformed or materialized every month.
    $750.00

    AI Insights

     Info

    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
    Helpful?

    Vendor refund policy

    Refunds offered

    How can we make this page better?

    Tell us how we can improve this page, or report an issue with this product.
    Tell us how we can improve this page, or report an issue with this product.

    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.

    Usage information

     Info

    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.

    Product comparison

     Info
    Updated weekly
    By Estuary
    By Materialize
    By RisingWave Labs

    Accolades

     Info
    Top
    25
    In ELT/ETL, Streaming solutions
    Top
    10
    In Streaming solutions
    Top
    50
    In Databases

    Customer reviews

     Info
    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    16 reviews
    Insufficient data
    Insufficient data
    0 reviews
    Insufficient data
    Insufficient data
    Insufficient data
    Insufficient data
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Real-time Data Capture
    Scalable, managed capture from Kinesis, databases using Change Data Capture (CDC), and SaaS applications
    Streaming SQL Processing
    Streaming SQL engine for data transformation with materialized views capability
    Multi-destination Materialization
    Support for materializing data to multiple destination types including data warehouses (Redshift, Snowflake), vector databases, search systems, and NoSQL stores
    Change Data Capture
    Scalable CDC technology for capturing data changes from database systems
    Cost-effective Pipeline Management
    Managed pipeline infrastructure designed for cost optimization in real-time data processing
    Incremental Computation Engine
    Efficiently maintains SQL materialized views as input data changes using an incremental computation framework based on Differential Dataflow and Timely Dataflow.
    Multi-Source Data Streaming
    Supports streaming data ingestion from Kafka (MSK) and PostgreSQL (RDS/Aurora) with first-class integration for real-time data inputs.
    PostgreSQL Wire Protocol Compatibility
    Implements PostgreSQL network protocol compatibility, enabling any tool or driver that connects to PostgreSQL to integrate with the platform.
    Advanced SQL Query Support
    Executes complex SQL queries including twelve-way joins, multiple layers of aggregation, common table expressions (CTEs), and maintains serializability guarantees equivalent to traditional databases.
    Data Transformation Framework Integration
    Provides first-class support for dbt integration to manage SQL queries in code with AWS PrivateLink compatibility for secure connections between AWS MSK clusters.
    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 for both historical data stored in the database and real-time data in transit from external sources.
    Cloud-Hosted Infrastructure
    Managed service deployed on public cloud infrastructure eliminating the need for self-managed deployment and maintenance.

    Contract

     Info
    Standard contract
    No

    Customer reviews

    Ratings and reviews

     Info
    4.7
    34 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    82%
    18%
    0%
    0%
    0%
    0 AWS reviews
    |
    34 external reviews
    External reviews are from G2 .
    Commercial Real Estate

    Low-Maintenance Data Syncing with Solid Availability

    Reviewed on Aug 25, 2026
    Review provided by G2
    What do you like best about the product?
    Low-maintenance, solid availability for syncing data from disparate data sources.
    What do you dislike about the product?
    Some limited observability - would be nice to see more detailed logs, and have more insight/direct queryability into the individual data collections. Also the BYOC model is a bit annoying, would be nice to be able to use our existing cloud VPC.
    What problems is the product solving and how is that benefiting you?
    Our company has a LOT of different data stored in very different places, so this is helping us get it all into one.
    Henry N.

    Real-Time Streaming and Predictable Costs Made Estuary a Scaling Win

    Reviewed on Aug 22, 2026
    Review provided by G2
    What do you like best about the product?
    Switching our data pipelines from Fivetran to Estuary was one of the best infrastructure decisions we’ve made. It drastically lowered our monthly bill while also giving us true real-time streaming capabilities. Migrating to Estuary immediately stabilized our spend with a far more predictable, volume-based model.

    Moving away from delayed batch syncs to continuous, low-latency streaming completely upgraded our data freshness, letting operational data flow virtually instantly. Estuary also gives us the flexibility to customize schemas and handle in-flight transformations directly within the pipeline, which has helped us save on downstream compute costs.

    While the initial setup and schema mapping required deliberate effort, day-to-day management has been remarkably smooth and genuinely “set-and-forget.” Ultimately, Estuary delivered the blend of real-time performance, developer control, and budget relief we needed as we scaled.
    What do you dislike about the product?
    What I don’t like about Estuary is the UI. At times it isn’t very intuitive. For instance, when I’m backfilling records, the progress details aren’t very clear and are mostly shown as a percentage, which doesn’t always help me understand what’s actually happening. The logs are also pretty noisy and hard to follow, especially when I’m troubleshooting. Since I’ve had to work through capture failures, binlog position changes, and backfills during our migration, clearer progress indicators and more structured, easier-to-scan logs would make the overall experience much better.
    What problems is the product solving and how is that benefiting you?
    Estuary has been highly effective in supporting our cost-reduction strategy while still delivering a robust, reliable, high-quality data ingestion service. Migrating from Fivetran to Estuary helped us significantly reduce our data pipeline costs without sacrificing reliability or performance.

    Data ingestion and loading have been largely seamless, and the platform has handled our production workloads well. We’ve also found the Slack support team responsive and helpful, especially when troubleshooting issues related to captures, backfills, binlog positions, and migrations. The AI-powered support through Kapa.ai has been useful as well, letting us quickly find answers and navigate the documentation.

    Overall, Estuary strikes a strong balance between cost efficiency, reliability, performance, and developer support, and it has become a valuable part of our modern data stack.
    Tyson D.

    Reliable Data Ingestion with Room for Pricing Flexibility

    Reviewed on Aug 18, 2026
    Review provided by G2
    What do you like best about the product?
    I like how Estuary is a key element within our data stack, making data ingestion from all of our Postgres data sources and Salesforce reliable. It's easy to use, and I appreciate the strong communication when something is broken. Their support is very quick to help us, and it's nice knowing there's a part of our stack we don't have to worry about. Estuary just works, allowing us to focus on other high-priority tasks. I also found the initial setup of Estuary to be very easy. Support is readily available if we have questions, which is really helpful. The reliability of Estuary makes everything a lot easier.
    What do you dislike about the product?
    Sometimes I find it hard when we want to add a new data source or a connector because it's like $200 per connector, which has made us purposely not use Estuary at times. I wish there was a way to onboard a source with pricing charged per active row instead, so we could use it without having to think about the cost.
    What problems is the product solving and how is that benefiting you?
    Estuary reliably ingests data from Postgres and Salesforce, simplifying our workflow. Its ease of use and strong support mean we focus on priorities without worry. It's a key part of our data stack, making us trust that it just works, saving time and effort.
    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.
    View all reviews