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DuckDB

DuckDB is a fast, embeddable, and open-source analytical database. It can run on a local machine, embedded in an application or in the cloud and excels at complex SQL queries on various file formats (like CSV and Parquet), and integrates seamlessly with languages like Python and R.

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DuckDB Destination for Streamkap

  • Sync real-time data to DuckDB
  • Snapshot/Backfill historical data
  • Include or exclude table/columns
  • Schema evolution support
  • Start sending real-time data to DuckDB in minutes

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Kohei Hasegawa

CTO

The migration to Streamkap has resulted in clear and predictable billing, reducing unexpected costs. Success metrics include a 54% reduction in data-related costs. GCP Datastream lacked reliable support channels for issue resolution, but Streamkap provides prompt assistance through Slack, making it easy to consult and resolve problems quickly.

Why Streamkap?

Reliable

Serverless platform providing enterprise reliability and scale.

Affordable

Only pay for GB into Streamkap.

Longterm

Retain data for as long as you need.

Flexible

Read once, write to many destinations.

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Supabase

Supabase is an open-source backend-as-a-service platform that provides a scalable Postgres database with built-in authentication, real-time subscriptions, and storage. It enables developers to quickly build and deploy applications without managing infrastructure, offering an instant API, powerful query capabilities, and support for structured and semi-structured data. Supabase is ideal for applications needing secure user management, real-time data updates, and seamless integration with modern frontend frameworks.

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StarTree

StarTree is a fully-managed user-facing analytics platform, built on Apache Pinot. turns real-time data—such as clickstreams, logs, vector embeddings, and IoT sensor data—into fast, actionable analytics. It powers customer-facing dashboards, AI-powered agent tools, and real-time operational intelligence.

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Imply

Imply is a real-time analytics platform built on Apache Druid, offering fast, scalable, and flexible analytics on large datasets. It is optimized for time-series data and supports both streaming and batch ingestion, providing sub-second query responses for interactive data exploration.

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