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OrgStack.io VS Upsolver

Compare OrgStack.io VS Upsolver and see what are their differences

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OrgStack.io logo OrgStack.io

The complete data validation platform.

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).
  • OrgStack.io Landing page
    Landing page //
    2022-03-16

OrgStack monitors the quality of data flowing through production data pipelines. No surprises. No downtime.

  • Upsolver Landing page
    Landing page //
    2023-08-06

Category Popularity

0-100% (relative to OrgStack.io and Upsolver)

OrgStack.io

Upsolver

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Online Services
0 0%
Online Services
100% 100
Data Management
100 100%
Data Management
0% 0
Business & Commerce
0 0%
Business & Commerce
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 OrgStack.io and Upsolver

OrgStack.io Reviews

We have no reviews of OrgStack.io 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.

OrgStack.io mentions (0)

We have not tracked any mentions of OrgStack.io yet. Tracking of OrgStack.io 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 OrgStack.io and Upsolver, you can also consider the following products

Etleap - Build your AWS Redshift data warehouse without coding

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.

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

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.

Naveego - A next-generation, hybrid and multi-cloud data accuracy platform that proactively manages, detects and eliminates data accuracy issues across all of your enterprise data sources.

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

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