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Key Features
Real-time data ingestionData transformation capabilitiesAutomated data pipeline creationIntegration with data lakes and warehousesSchema evolution management
Pricing
Paid
Upsolver offers paid plans. Visit their website for current pricing details.
Upsolver, now part of Qlik, is a data ingestion and preparation platform designed to simplify and accelerate the process of bringing data from various sources into data lakes and warehouses. It enables users to build and manage real-time data pipelines without extensive coding, transforming raw data into analytics-ready formats.
The platform is ideal for data engineers, data architects, and analytics teams who need to handle large volumes of streaming and batch data, ensure data quality, and make data accessible for business intelligence, machine learning, and operational applications. Its key benefit is reducing the complexity and time involved in data preparation, allowing organizations to derive insights faster and more efficiently from their data assets.
By automating much of the data pipeline creation and maintenance, it helps organizations overcome challenges associated with data sprawl, schema evolution, and performance bottlenecks in data processing.
Upsolver is a data ingestion and preparation platform that simplifies building and managing real-time data pipelines for analytics and operational use cases. It helps transform raw data into analytics-ready formats in data lakes and warehouses.
How much does Upsolver cost?
Specific pricing information for Upsolver is not available on the provided redirect page. As it is now part of Qlik, pricing would likely be integrated into Qlik's offerings or require direct contact with Qlik sales.
Is Upsolver free?
Based on the available information, Upsolver is a paid product, now part of Qlik. There is no indication of a free tier or trial on the redirect page.
Who is Upsolver for?
Upsolver is designed for data engineers, data architects, and analytics teams who need to efficiently ingest, transform, and prepare large volumes of data for analytics, business intelligence, and machine learning applications.