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Disco MapReduce VS Upsolver

Compare Disco MapReduce VS Upsolver and see what are their differences

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Disco MapReduce logo Disco MapReduce

Disco is a lightweight, open-source framework for distributed computing based on the MapReduce...

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).
  • Disco MapReduce Landing page
    Landing page //
    2019-05-17
  • Upsolver Landing page
    Landing page //
    2023-08-06

Disco MapReduce videos

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The Disco MapReduce Framework

Upsolver videos

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Category Popularity

0-100% (relative to Disco MapReduce and Upsolver)

Disco MapReduce

Upsolver

Big Data
100 100%
Big Data
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100
Databases
100 100%
Databases
0% 0
Online Services
0 0%
Online Services
100% 100

User comments

Share your experience with using Disco MapReduce and Upsolver. For example, how are they different and which one is better?
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Reviews

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

Disco MapReduce Reviews

We have no reviews of Disco MapReduce yet.
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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

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.

Disco MapReduce mentions (0)

We have not tracked any mentions of Disco MapReduce yet. Tracking of Disco MapReduce recommendations started around Mar 2021.

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

What are some alternatives?

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

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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.

asyncoro - asyncoro is a Python framework for developing concurrent, distributed programs with asynchronous...

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.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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

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