Software Alternatives & Reviews

Upsolver VS Lyftrondata

Compare Upsolver VS Lyftrondata 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).

Lyftrondata logo 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.
  • Upsolver Landing page
    Landing page //
    2023-08-06
  • Lyftrondata Landing page
    Landing page //
    2023-05-18

Upsolver videos

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Lyftrondata videos

Learn How IT Renew Builds Digital Transformation with Lyftrondata, Azure Sql Warehouse & Tableau

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  • Review - Learn How IT Renew Builds Digital Transformation Capabilities with Lyftrondata & Tableau

Category Popularity

0-100% (relative to Upsolver and Lyftrondata)
Business & Commerce
52 52%
48% 48
Online Services
53 53%
47% 47
Office & Productivity
51 51%
49% 49
Security & Privacy
53 53%
47% 47

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 Lyftrondata

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

Lyftrondata Reviews

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Social recommendations and mentions

Based on our record, Upsolver seems to be more popular. It has been mentiond 1 time since March 2021. 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

Lyftrondata mentions (0)

We have not tracked any mentions of Lyftrondata yet. Tracking of Lyftrondata recommendations started around Feb 2022.

What are some alternatives?

When comparing Upsolver and Lyftrondata, 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.

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

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.

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

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.