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Reliable – Exactly-once, strongly-ordered data
Observable – Resolve data issues upon ingestion
Easy – No-code UI for batch, stream and DB sources
Fresh – Minute-fresh data in your warehouse and lake
Upsolver provides built-in data quality and observability as it ingests data from stream, file and database sources in real-time directly to your data warehouse or queryable staging tables in your data lake.
Upsolver employs a unique monotonically-increasing time column plus a distributed locking mechanism to protect data from technical delivery issues and changes to data that regularly occur upstream.
If your data is polluted at the source, you need to know before it gets to your warehouse and lake. Upsolver monitors your incoming data and schema, identifies and alerts you to anomalies, and helps you diagnose and remediate any issues.
Your data might be complex, but configuring ingestion shouldn’t be. Upsolver gives you a no-code IDE that enables you to set up ingestion in minutes.
A major obstacle to improving data freshness is having to wait for downstream quality checks and fixes to run. Upsolver ensures the integrity of your data as it ingests in real time, so you can improve your downstream data freshness and simplify your data pipeline at the same time.
Upsolver is a fully managed cloud-native service that deploys to your AWS account. It scales automatically and can be configured for workload isolation. You can use the Upsolver Cloud as a development sandbox.
Explore our expert-made templates & start with the right one for you.