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Plug-n-Play Solution for an Open Cloud Lakehouse

Upsolver was built by engineers radically rethinking traditional data lake and ETL technology.

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95%

Reduction in data pipelines effort

20X

More data practitioners get access to the lake

100%

Fresh streaming data for analytics

Event Processing Architecture With Upsolver

True self-service ETL for cloud data lakes

Effortless operations: ingestion, joins, enrichments and structured outputs.

Here's What Customers Say About Us

Upsolver enabled us to focus on new product features instead of infrastructure and pipelines.
Seva Feldman
Iron source Mobile, VP R&D
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Upsolver is the shortest path from streaming to workable data. We easily turned our big pile of data to structured datasets for BI & Data-science.
Guy Buyango
Sisense CTO & Co-Founder
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Upsolver makes big data much easier than it would be if you had to research all the tech it covers, learn how to apply it, implement the same, then deploy it.
Bob Lunney
The Meet Group, Lead Data Architect
With Upsolver, we had an operational data lake with demonstrable value to our customers in three weeks. Doing the same ourselves with open-source solutions would have taken us four months.
Alon Horowitz
Co-founder and VP R&D, Meta Networks
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Upsolver only takes 10% of my time and replacing it would require hiring a team of Spark engineers.
Yaron Cohen
Clinch.co, VP R&D
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Upsolver gives flexibility with the data that cannot be achieved by other data tools.
Amit Attias
BigaBid, VP R&D
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Upsolver makes ETL a breeze! Its support for Amazon Athena is very impressive!
Gordon Lowe
PegaSystems
Upsolver has reduced the time to market for our ETL solution that we had to urgently roll out for a major release.
Faizal Mohammed
Togo Group
With Upsolver we were able to fully and easily productize the raw data processing, and have various team members manage the raw data for various purposes without any hassle.
Or Boiman
CFO, Avantis

See Some of Upsolver's Customers

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Discover how Upsolver can unlock the value of your streaming data.