Real-time data
without coding
Estuary’s code-free streaming data operations platform enables real-time data with history and the integrations you need.
Move your data
from GitHub
to Pinecone
with millisecond
latency
Estuary builds free, open-source connectors to move data from GitHub to Pineconein real-time, allowing you to enable a copy of your data wherever you want.
Features
Capture your data from sources like databases and SaaS applications.
Real-time CDC from databases. Built by the Estuary team to scale and ensure exactly once semantics.
Real-time SaaS integrations built by the Estuary team for apps that support streaming.
Long-tail SaaS. Integrate any Airbyte connector to access 200+ batch-based endpoints.
GitHub
GitHub is where over 83 million developers shape the future of software, together. Contribute to the open source community, manage your Git repositories, review code like a pro, track bugs and feat...
Pinecone
The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.
Real-time data
why estuary flow
Change data capture
Real-time CDC from databases. Built by the Estuary team to scale and ensure exactly once semantics.
Customer 360
Gain a unified view of your customers while your team interacts with them. Real-time with historical data.
Operational analytics
Gain a unified view of your customers while your team interacts with them. Real-time with historical data.
Data replication & migration
Centralize data with real-time replication.
Streaming ELT
Centralize data with real-time replication.
Data modernization
Seamlessly connect legacy systems to a modern hybrid cloud environment that’s fully extensible.
Real-time use cases
Bye bye batch hello streaming type of sentiment
table_accounts
Total visibility into
your data pipelines
powerful data transformations
True streaming SQL and
javascript transformation
directly in your warehouse
Materialize views to your database or warehouse for greatly reduced query costs
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