Software Alternatives & Reviews

Upsolver VS Atlan

Compare Upsolver VS Atlan and see what are their differences

Upsolver logo Upsolver

Upsolver is a robust Data Lake Platform that simplifies big & streaming data integration, management and preparation on premise (HDFS) or in the cloud (AWS, Azure, GCP).

Atlan logo Atlan

Atlan is an advanced data workspace developed to offer benefits to many different sources of data.
Upsolver Landing Page
Upsolver Landing Page
Atlan Landing Page
Atlan Landing Page

Upsolver details

Business & Commerce Online Services Office & Productivity
Pricing URL Official Upsolver Pricing  

Atlan details

Business & Commerce Office & Productivity Online Services Security Security & Privacy
Pricing URL-

Upsolver videos

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Atlan videos

3-Minute Atlan Demo

More videos:

  • Review - ATLAN SAFE OUTDOORS Tent Chair Blind Review Vs. AMERISTEP Tent Chair Blind (WHATS BETTER??)
  • Review - Atlan: Leveraging Founder-market Fit to Build a Global SaaS Brand

Category Popularity

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These are some of the external sources and on-site user reviews we've used to compare Upsolver and Atlan

Upsolver Reviews

Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
In this way, Upsolver removes the complexity of Big Data and Real-Time projects and reduces their use time from several weeks or months to several hours. With the latest Volcano technology, this tool queries the entire data lake in less than a millisecond and stores 10x the amount of data in RAM.

Atlan Reviews

We have no reviews of Atlan yet.
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Social recommendations and mentions

Atlan might be a bit more popular than Upsolver. We know about 1 link to it since March 2021 and only 1 link to Upsolver. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.

Upsolver mentions (1)

  • Anyone Used Dremio?
    Most of the pains of using query engines over object storage are in the ongoing management of files (partitioning, compression, merging many small files into fewer larger files) Cloud data lakes are tremendously valuable when it comes to exploratory and ad-hoc data analysis. If you really require sub-second queries on structured data, you're better off with a data warehouse. I'm not totally clear on your use... - Source: Reddit / over 1 year ago

Atlan mentions (1)

  • Data lake observability
    I've previously built data lakes on AWS with Glue and you get the data catalog for free but it isn't convenient to explore. Enterprise-grade data catalogs such as Alation are full featured and really decent but come at a higher cost. If your preference is open source, check out Atlan and Amundsen. - Source: Reddit / 27 days ago

What are some alternatives?

When comparing Upsolver and Atlan, you can also consider the following products

Lyftrondata - Lyftrondata is an end-to-end data delivery platform, providing the right digital transformation having rapid automation and optimizations in place, so one can do better management of their inventory.

Zaloni Data Platform - Get self-service data from a platform that accelerates business insights. Use data from any source, anywhere: the cloud, on-premises, multi-cloud or hybrid.

CrowdStrike Falcon Endpoint Protection - Cloud-based endpoint protection for businesses. The Falcon platform offers nex-gen endpoint security with an intelligent, easy-to-install lightweight agent.

Mozart Data - The easiest way for teams to build a Modern Data Stack

Azure Data Lake - Azure Data Lake is a fully managed data lake service that is built for analytics, machine learning, and data science workloads.

Druva Cloud Platform - Druva offers a Data Resiliency Cloud Platform that allows you to unleash the capabilities of the cloud to energize your company with data security and management.

User reviews

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