As easy as you can imagine
Learn how to implement CDC and database replication on your data lake with our collection of videos and guides.
Understand data lake architecture best practices in this practical handbook for data engineers, data scientists and data architects
Learn how Upsolver saved big on cloud infrastructure by migrating workloads from BigQuery to an AWS data lake.
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.
Time-to-value in days
Months-long projects
Upsolver enabled us to focus on new product features instead of infrastructure and pipelines.
Upsolver is the shortest path from streaming to workable data. We easily turned terabytes of log data into structured datasets for BI & data science.
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.
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.
Upsolver only takes 10% of my time and replacing it would require hiring a team of Spark engineers.
Upsolver gives flexibility with the data that cannot be achieved by other data tools.
Upsolver makes ETL a breeze! Its support for Amazon Athena is very impressive!
Upsolver has reduced the time to market for our ETL solution that we had to urgently roll out for a major release.
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.
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