Streaming Aggregation Engine for AWS S3

continuously query data streams, incrementally store the results in any database.

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Like a database but for streams

Empower data analysts, data scientists and developers to query streams without ETL code, scripts and data plumbing.
With Upsolver Streams, do everything enabled by a database, but for streams, including real-time tables,
joininig streams, long-time window aggregations, retroactive queries from S3 and multi-value aggregations.

Why Upsolver?

Quick to implement

Query streams of JSON/CSV of files with no-code or data plumbing.

Powerful - like a DB for streams

Real-time tables, joining streams, long-time window aggregations, retroactive queries from S3 and multi-value aggregations.

Turn S3 into your analytics hub

Every event stored on S3 for retroactive queries.
Send query results S3, Redshift, Athena, Kinesis, Kafka, Elasticsearch and more.

No devops

Auto scaling with no tuning or maintenance.

Upsolver's Key Advantages

UpsolverKinesis Streaming AnalyticsSpark Streaming
No Code, No Data Plumbing
Long Time Window Aggregations
Join Streams
Real-time Tables
No Devops