Software Alternatives & Reviews

Upsolver VS Mozart Data

Compare Upsolver VS Mozart Data 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).

Mozart Data logo Mozart Data

The easiest way for teams to build a Modern Data Stack
  • Upsolver Landing page
    Landing page //
    2023-08-06
  • Mozart Data Landing page
    Landing page //
    2023-07-28

Upsolver videos

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Mozart Data videos

Mozart Data Symphony No. 1 (5.6.21)

More videos:

  • Review - Ep263: Peter Fishman | Co-Founder & CEO, Mozart Data

Category Popularity

0-100% (relative to Upsolver and Mozart Data)
Business & Commerce
55 55%
45% 45
Online Services
57 57%
43% 43
Office & Productivity
53 53%
47% 47
Security & Privacy
63 63%
37% 37

User comments

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Reviews

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

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.
Source: visual-flow.com

Mozart Data Reviews

We have no reviews of Mozart Data yet.
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Social recommendations and mentions

Mozart Data 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 various public social media platforms and blogs. 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: over 2 years ago

Mozart Data mentions (1)

  • What are your thoughts on dbt Cloud vs other managed dbt Core platforms?
    Dbt Cloud rightfully gets a lot of credit for creating dbt Core and for being the first managed dbt Core platform, but there are several entrants in the market; from those who just run dbt jobs like Fivetran to platforms that offer more like EL + T like Mozart Data and Datacoves which also has hosted VS Code editor for dbt development and Airflow. Source: 11 months ago

What are some alternatives?

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

IRI Voracity - IRI Voracity is an automated data management platform that helps you extract, transform and load (ETL) your data lake to any data warehouse or cloud.

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.

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

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.

Minitab Connect - Minitab Connect is a data management platform that comes with cloud-based data and integration workflows having data governance and integration tools.

Kylo - Kylo is an end-to-end data lake management software that provides data from many sources in an automated fashion and optimizes it.