About Estuary

The startup offers a software data platform that provides real-time access to data by integrating seamlessly with both internal and external systems, eliminating the need for engineering overhead. This technology enables clients to efficiently retrieve data from various sources, including internal services and external applications, streamlining their data workflows.

<problem> Traditional ETL and ELT solutions often involve complex coding, are slow to implement, and struggle to deliver real-time data, leading to stale insights and delayed decision-making. Existing solutions also require separate pipelines for different destinations, increasing costs and operational overhead. </problem> <solution> Estuary provides a real-time data integration platform that simplifies the creation of ETL and ELT pipelines, enabling users to capture, transform, and materialize data with millisecond latency. Estuary Flow offers a no-code UI and a comprehensive set of connectors to integrate diverse data sources, including databases, SaaS applications, and streaming platforms. Its unique architecture allows data to be extracted once and delivered to multiple destinations simultaneously, reducing costs and improving efficiency. </solution> <features> - Real-time Change Data Capture (CDC) with sub-100ms end-to-end latency - Over 200 pre-built connectors for databases, data warehouses, SaaS apps, and cloud platforms - Support for both ETL and ELT paradigms, with in-flight transformation using SQL or TypeScript - Stream-store-replay architecture for reliable data delivery and backfilling capabilities - Automated schema inference and evolution to handle changing data structures - Multi-cloud deployment options, including public, private, and BYOC (Bring Your Own Cloud) - Kafka compatibility via Flow Dekaf, enabling integration with Kafka-native tools - Integration with data catalogs and governance tools for enhanced data management </features> <target_audience> Estuary targets data engineers, data analysts, and data scientists who need real-time data integration for analytics, operations, and AI applications. </target_audience> <revenue_model> Estuary offers tiered pricing plans, including a free tier with limited data volume and connector instances, a cloud plan based on data volume and connector usage, and an enterprise plan with custom features and support. The cloud plan is priced at $0.50 per GB of data moved, plus $100 per month for each of the first 6 connector instances. </revenue_model>

What does Estuary do?

Where is Estuary located?

Estuary is based in City of New York, United States.

When was Estuary founded?

Estuary was founded in 2019.

How much funding has Estuary raised?

Estuary has raised 7000000.

Location

City of New York, United States

Founded

2019

Funding

7000000

Employees

32 employees

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Estuary

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Executive Summary

estuary.dev 10K+

Founded 2019 – City of New York, United States

Funding

Estimated Funding

$5M+

Team (30+)

No team information available.

Company Description

Problem

Traditional ETL and ELT solutions often involve complex coding, are slow to implement, and struggle to deliver real-time data, leading to stale insights and delayed decision-making. Existing solutions also require separate pipelines for different destinations, increasing costs and operational overhead.

Solution

Estuary provides a real-time data integration platform that simplifies the creation of ETL and ELT pipelines, enabling users to capture, transform, and materialize data with millisecond latency. Estuary Flow offers a no-code UI and a comprehensive set of connectors to integrate diverse data sources, including databases, SaaS applications, and streaming platforms. Its unique architecture allows data to be extracted once and delivered to multiple destinations simultaneously, reducing costs and improving efficiency.

Features

Real-time Change Data Capture (CDC) with sub-100ms end-to-end latency

Over 200 pre-built connectors for databases, data warehouses, SaaS apps, and cloud platforms

Support for both ETL and ELT paradigms, with in-flight transformation using SQL or TypeScript

Stream-store-replay architecture for reliable data delivery and backfilling capabilities

Automated schema inference and evolution to handle changing data structures

Multi-cloud deployment options, including public, private, and BYOC (Bring Your Own Cloud)

Kafka compatibility via Flow Dekaf, enabling integration with Kafka-native tools

Integration with data catalogs and governance tools for enhanced data management

Target Audience

Estuary targets data engineers, data analysts, and data scientists who need real-time data integration for analytics, operations, and AI applications.

Revenue Model

Estuary offers tiered pricing plans, including a free tier with limited data volume and connector instances, a cloud plan based on data volume and connector usage, and an enterprise plan with custom features and support. The cloud plan is priced at $0.50 per GB of data moved, plus $100 per month for each of the first 6 connector instances.