Estuary is a powerful real-time data integration platform designed to simplify and accelerate how organizations move and process data across their ecosystems. Built for the demands of modern data workflows, Estuary unifies batch and streaming data pipelines into a single, cohesive platform, eliminating the need for multiple disparate tools.
At its core, Estuary Flow enables users to seamlessly capture data from a wide range of sourcesโincluding databases, SaaS applications, event streams, and cloud storageโand deliver it in real time to destinations like data warehouses, data lakes, analytics platforms, and custom applications. Whether itโs syncing data from PostgreSQL to Snowflake, Kafka to Apache Iceberg, or MongoDB to BigQuery, Estuary handles the complexity with built-in connectors and scalable infrastructure.
What sets Estuary apart is its ability to process change data capture (CDC), stream transformations, and schema enforcement without sacrificing speed or reliability. Users can define complex data flows via a visual interface or YAML-based configuration, and the system automatically manages versioning, backfills, schema evolution, and recovery.
Estuary Flow also offers unique features like time travel, declarative derivations (SQL-based data transformations), and strong guarantees around data consistency and fault tolerance. It supports private deployment and Bring Your Own Cloud (BYOC) models for teams with compliance or security needs, and integrates with tools like dbt, Prometheus, and Kafka clients through its open interfaces.
By bridging the gap between traditional ETL and real-time streaming, Estuary empowers data engineers, analysts, and developers to build resilient pipelines that keep data fresh, trustworthy, and actionableโfueling analytics, AI, and operational workloads without the overhead of managing multiple tools.
A startup from New York, the United States that is founded by David Yaffe, Johnny Graettinger.
Real-time Data Integration
Estuary provides seamless, real-time integration of data across different sources, ensuring that data remains consistent and up-to-date.
Scalability
The platform is designed to handle large volumes of data, making it suitable for businesses that expect their data needs to grow over time.
User-friendly Interface
With a focus on ease of use, Estuary offers an intuitive interface that allows users to set up pipelines without extensive technical knowledge.
Flexible Deployment
Estuary supports both cloud and on-premise deployment options, giving businesses the flexibility to choose the setup that best fits their needs.
Estuary provides both Streaming and Batch integration options as well as private deployments and BYOC.
Security, data speed and price assurances.
Data Analysts, Data Engineers and Software Engineers.
Estuary was built by the founders of Gazette.dev which uniquely enables it to work with streaming and batch data.
We have collected here some useful links to help you find out if Estuary is good.
Check the traffic stats of Estuary on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Estuary on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Estuary's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Estuary on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Estuary on Reddit. This can help you find out how popualr the product is and what people think about it.
If you're evaluating the managed side of this decision, Estuary is one option worth testing, especially if you need low-latency CDC, exactly-once semantics where supported, and the ability to reuse the same change stream across multiple destinations. The best way to evaluate it is the same way you should evaluate any managed CDC platform: try it against your real source, destination, schema changes, and expected... - Source: dev.to / 29 days ago
Estuary | US-Based / Remote | Full-time โ https://estuary.dev/ Estuary is a VC-backed, postโSeries A startup powering right-time data replication and transform โ from sub-second CDC replication to terabyte-scale OLAP data flows. Weโre open-source, developer-first, and focused on making data movement radically simpler across both our Platform and Applications layers. Weโre hiring for: Head of Applications... - Source: Hacker News / 8 months ago
Estuary Flow is a unified data integration platform built from the ground up for real-time streaming. It enables continuous Change Data Capture (CDC) from databases, SaaS platforms, and event streams into analytics systems, data warehouses, and other destinations. Unlike traditional batch-first ELT tools, Flow maintains second-level latency without requiring separate streaming infrastructure. - Source: dev.to / 12 months ago
Senior Backend Engineer (Integrations) โ 5+ years of backend engineering experience. Own and scale high-impact systems that power real-time data pipelines. Youโll work on complex integrations with external APIs and databases, improve our internal connector frameworks, and tackle deep challenges in performance, reliability, and developer experience. Backend Engineer (Integrations) โ 2โ4 years of backend experience.... - Source: Hacker News / about 1 year ago
At Estuary, we help teams build real-time data pipelines that push warehouses hard โ across batch and streaming. Weโve seen the consequences of choosing the wrong warehouse. So we built the benchmark we wish existed earlier. - Source: dev.to / about 1 year ago
Estuary | US Based (Some flexibility with location for the right candidate) / Remote | Full-time โ https://estuary.dev/ Estuary is a VC-backed startup building the next generation of real-time data infrastructure. Our platform, Estuary Flow, combines change data capture (CDC), stream processing, and declarative configuration to unify real-time and batch data movement. Weโre open-source, developer-first, and... - Source: Hacker News / about 1 year ago
As a Solutions Engineer at Estuary, youโll work directly with our founding team to help companies unlock the power of their real-time data. Your work will directly shape how users harness their real-time data, driving our product's development and creating seamless user experiences. https://estuary.dev/about/#solutions-engineer To apply: Email resume to Careers@estuary.dev. - Source: Hacker News / over 1 year ago
Estuary | NYC & Remote | Full-time - https://estuary.dev/. - Source: Hacker News / over 1 year ago
Estuary | NYC & Remote | Full-time - https://estuary.dev/ Estuary is a VC-backed startup focused on simplifying real-time data pipelines. Weโre building open-source solutions to unify real-time and batch data integration, making complex data tasks easier at scale. Our team is small, collaborative, and values transparency. Weโre hiring for: Backend Engineer - Build out data connectors to SaaS systems using Python... - Source: Hacker News / almost 2 years ago
Gazette is at the core of Estuary Flow (https://estuary.dev), a real-time data platform. Unlike Kafka, Gazetteโs architecture is simpler to reason about and operate. It plays well with k8s and is backed by S3 (or any object storage). - Source: Hacker News / almost 2 years ago
SEEKING FREELANCER | Python Developer | Remote (Within 3 hours of EST) Estuary is a dynamic company focused on developing cutting-edge real-time data integration solutions. Our platform is powered by an open-source repository of pre-built data connectors, making data exchange between systems seamless. https://estuary.dev/ We are seeking a passionate and talented Software Engineer to help expand our catalog of data... - Source: Hacker News / over 2 years ago
I work at Estuary, which is itself a streaming data pipeline. We actually use that approach to power all of the data processing statistics we show in our UI. Lately we've been processing ~200-300 transactions per second (each transaction produces a stats event), and the stats queries in the dashboard are quite snappy. We actually pre-aggregate by minute, hour, and day in order to serve queries of larger time... Source: over 2 years ago
Estuary (https://estuary.dev ; I'm CTO) gives you a real time data lake'd change log of all the changes happening in your database in your cloud storage -- complete with log sequence number, database time, and even before/after states if you use REPLICA IDENTITY FULL -- with no extra setup in your production DB. By default, if you then go on to materialize your collections somewhere else (like Snowflake), you get... - Source: Hacker News / almost 3 years ago
Disclaimer: I work for a streaming ETL startup (estuary.dev) with a connector for Kafka and ability to share data. I'm wondering if Confluent's currently functionality is missing features by not more easily enabling to push shared streams into the consumer.... Or just generally other things that are on the 'wish list' of those sharing / receiving topics. Source: almost 3 years ago
Hi, I'm Estuary's CTO (https://estuary.dev). Mind speaking a bit more about what didn't work? We put quite a bit of effort into our CDC connectors, as it's a core competency. We have numerous customers using them at scale successfully, but they can be a bit nuanced to get configured. We're constantly trying to make our onboarding experience more intuitive and seamless... it's a hard problem. - Source: Hacker News / about 3 years ago
Gazette is actually what forms the beating heart of our streaming data platform. We went with gzipped newline-delimited json files, and I have no regrets there. It's easy and cheap to read and write, and it compresses remarkably well with gzip. Source: about 3 years ago
In contrast to jebarker's comment, I actually think it's really interesting that a concept coming from game engine development actually seems quite applicable in some very different domains. We (https://estuary.dev/) ended up arriving at a very similar design for transformations in streaming analytics pipelines: https://docs.estuary.dev/concepts/derivations/ To paraphrase, each derivation produces a collection of... - Source: Hacker News / about 3 years ago
One random thought since you mentioned databases on each side - is estuary.dev. I'm pretty early in the evaluation phase and I'm working on getting a trial slotted on my roadmap, so I don't have any "real-world thoughts", but they support having one data source being materialized to multiple destinations, which starts to look like reverse etl (for datastores). Their perspective on saas extraction sounds... Source: about 3 years ago
Can anyone speak to estuary.dev and their thoughts on it? Source: about 3 years ago
You might call Estuary a data engineering framework (also where I work). Same goes for things like Spark, Flink, and even Airflow. We've tended to use slightly more specific terminology, like "orchestration platform" for airflow, so Data Engineering Framework isn't really a term you hear very often. But there's definitely lots of things out there that fit the (vague) definition of "framework" and are commonly used... Source: about 3 years ago
We do exactly this at Estuary. Theres a useful free tier, too! And once you capture the data, we can do streaming materializations of the data into any number of destinations. I look forward to hearing what you think. Source: about 3 years ago
Estuary, prominently known for its real-time ETL, ELT, and Change Data Capture (CDC) platform called Estuary Flow, has been garnering significant attention within the data integration landscape. Positioned against notable competitors like Fivetran, Confluent, and Airbyte, Estuary is frequently lauded for its user-friendly interface, flexibility, and robust performance. This has been echoed in various technical discussions and reviews where Estuary is often compared and sometimes favored over its competitors.
Real-Time Capabilities: Estuary Flowโs ability to handle both batch and real-time data pipelines has been a major selling point. Its capacity to manage streaming data and large-scale batch processes is a testament to its versatility and adaptability in meeting modern data demands.
Ease of Use and Scalability: The intuitive, no-code interface that allows users to create data pipelines in minutes is frequently highlighted. This ease of setup, coupled with the platform's scalability, makes Estuary an attractive option for businesses looking to streamline their data workflows efficiently.
Security and Compliance: Another significant advantage of Estuary is its commitment to security. The platform ensures data safety with encryption, authentication, and authorization, which resonates well with enterprises mindful of data security standards.
Cost-Effectiveness: In comparative analyses, Estuary is often cited as the more cost-effective solution, particularly when juxtaposed with other leading ETL platforms in the market.
The companyโs open-source ethos and developer-first approach have won it favor among tech communities. Estuary's active presence on platforms like Hacker News, where they frequently post job listings and engage with users, illustrates their commitment to community engagement and transparency. These interactions often clarify the practicality and effectiveness of their solutions while also opening avenues for feedback and continuous improvement.
Despite its strengths, there are occasional mentions of complexities related to CDC connector configurations. Estuary acknowledges these challenges and appears committed to refining the onboarding experience to ensure a seamless integration process for users.
Estuary's continuous investment in new technologies, such as leveraging Rust for building their platform and exploring innovative data processing paradigms, demonstrates their forward-thinking approach. Their focus on simplicity, combined with powerful features such as data lake change logs and the ability to materialize synchronized tables, positions Estuary well within the market's growing demands for comprehensive data solutions.
Estuaryโs platform, Estuary Flow, is widely regarded as a comprehensive and cost-effective solution in the realm of real-time data integration. With a strong emphasis on user experience, security, and community engagement, Estuary continues to solidify its reputation as a leading ETL and CDC platform. As they enhance their offerings and refine user interactions, they are poised to capture more market share and meet the evolving data integration needs of modern enterprises.
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