Software Alternatives, Accelerators & Startups

Dat VS Upsolver

Compare Dat VS Upsolver and see what are their differences

Dat logo Dat

Real-time replication and versioning for data sets

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).
  • Dat Landing page
    Landing page //
    2022-04-28
  • Upsolver Landing page
    Landing page //
    2023-08-06

Dat videos

DAT Organic Chemistry Study Guide Exam Course Review Prep

More videos:

  • Review - DAT Test Prep General Chemistry Review Notes & Practice Questions Part 1
  • Review - TruckersEdge DAT load Board, Week In Freight! April 15, 2019

Upsolver videos

No Upsolver videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Dat and Upsolver)
Security
100 100%
0% 0
Business & Commerce
0 0%
100% 100
Web Browsers
100 100%
0% 0
Online Services
0 0%
100% 100

User comments

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Reviews

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

Dat Reviews

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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

Upsolver might be a bit more popular than Dat. We know about 1 link to it since March 2021 and only 1 link to Dat. 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.

Dat mentions (1)

  • Help Preserve the Internet with Archiveteam's Warrior
    Yes there are some really interesting projects, also in the ML replicability space. One really nice approach is the DAT project [1]. The protocol [2] looks pretty sensible and useful. Unfortunately, the tooling has been in such a state of permanent flux (i.e. Perpetual deprecation) that I've never bothered to invest much time. [1] https://datproject.org/ [1] https://datproject.org/. - Source: Hacker News / over 2 years ago

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 Dat and Upsolver, you can also consider the following products

Beaker browser - Beaker is a browser for IPFS and Dat.

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.

IPFS - IPFS is the permanent web. A new peer-to-peer hypermedia protocol.

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

Sia - Sia - Decentralized data storage

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.