Let’s Cut The Costs of Your Streaming Data Projects

The average Upsolver implementation reduces 70% of the infrastructure, software and maintenance costs of working with streaming data.

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Tell us a little about yourself and we’ll tell you how much you’ll save by using Upsolver to build, maintain, and generate insights from your data lake.

The most cost effective way to build a cloud data lake and turn event streams into workable data:

  1. Elastic scaling – pay for data processing on-demand
  2. Replace complicated tech-stacks with a single Data Lake Platform
  3. Leverage low-cost storage on your Amazon S3
  4. Skip the technical complexity of Spark/Hadoop based solutions
  5. Saves the need to hire Big Data engineers

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We are Dedicated to Your Success

We’ve gathered the best minds in the big data industry to to take our customers to the next level. That’s why some of the most data-intensive companies, from innovators to market leaders, choose Upsolver.

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