The data lake engineering platform

  • Data streams
  • live tables
  • any analytics engine

As easy as you can imagine

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Smarter data architecture starts here

Educational resources for data masterminds

Free Education Pack

Free Education Pack

Learn how to implement CDC and database replication on your data lake with our collection of videos and guides.

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Free eBook

Free eBook

Understand data lake architecture best practices in this practical handbook for data engineers, data scientists and data architects

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Case Study

Case Study

Learn how Upsolver saved big on cloud infrastructure by migrating workloads from BigQuery to an AWS data lake.

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The shortest path from data streams to data lakes

Upsolver reduces your most difficult data engineering challenges to a standard SQL query. Streaming ingestion, file system management, upserts on S3 – it’s as easy as you can imagine.

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Build a no-trade-offs analytics data lake

Upsolver (no code)

Time-to-value in days

  • Visual SQL IDE
  • Self-service for any developer or analyst
  • Automated performance optimization

Spark ecosystem

Months-long projects

  • Scala, Java and Python coding
  • Restricted to highly-skilled coders
  • Tedious configuration and tuning
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Here's What Customers Say About Us

Upsolver is like the “easy button” for Snowflake. We ingest data from our Kafka streams, process it as necessary for different use cases, and deliver it, all while observing how our schema and data are changing in real time.”

Alexander Adam

Cloud Platform Engineering Manager, Centene

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Upsolver enabled us to focus on new product features instead of infrastructure and pipelines.

Seva Feldman

ironSource Mobile, VP R&D

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Upsolver is the shortest path from streaming to workable data. We easily turned terabytes of log data into 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

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