Upsolver is a big data analytics solution built for analyzing event streams at scale by providing a complete solution for self-service ETL, data preparation and management of streaming data within a cloud data lake architecture. The solution enables BI and data analysts to be self-sufficient when working with complex data sources such as IoT, app activity and server logs, without relying on complex data engineering pipelines to provide the data. Upsolver supports multiple input and output formats such as Avro, Parquet and Protobuf for data integration across platforms. Users can segregate data by actual event time, merge data files and split large files. The drag-and-drop interface allows managers to prepare the data for analysis.
Upsolver is a big data analytics solution built for analyzing event streams at scale by providing a complete solution for self-service ETL, data preparation and management of streaming data within a cloud data lake architecture. The solution enables BI and data analysts to be self-sufficient when working with complex data sources such as IoT, app activity and server logs, without relying on complex data engineering pipelines to provide the data. Upsolver supports multiple input and output formats such as Avro, Parquet and Protobuf for data integration across platforms. Users can segregate data by actual event time, merge data files and split large files. The drag-and-drop interface allows managers to prepare the data for analysis.
Specifications
Business Size
Startup
Customization
Yes
Deployments
Cloud
Language Support
English
Platforms
Product Details
Features
Data quality control
Master data management
Get data streams from Kafka / Kinesis to S3
Connect to an existing data lake or bucket on S3
Data discovery
Self service data preparation
High volume processing
Drag & drop data preparation
Data privacy
Data integration
Work with nested JSON without manual wrangling
Enrich data with out-of-the-box functions or Python snippets
Pre-aggregate data in-flight
Replay data from S3 to incorporate additional fields
Multiple input and output formats
Benefits
Upsolver offers high-performance, big data processing. Work with PBs of data from dozens of streams.
Instantly set up a data lake, data pipelines and ETL flows, and go from raw streams to structured tables in minutes using a self-service GUI and SQL.
Store data in a managed and governed data lake in the cloud (S3, Azure, Google) or on-premises (HDFS), and get immediate value from big data projects.
Upsolver eliminates the need to “glue” together different components to store, process and consume streaming data, cutting down the time-to-value.
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