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Upsolver VS rkt

Compare Upsolver VS rkt 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).

rkt logo rkt

App Container runtime
  • Upsolver Landing page
    Landing page //
    2023-08-06
  • rkt Landing page
    Landing page //
    2023-05-08

Upsolver videos

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

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rkt videos

RKT IPO Review | Is Rocket a Buy for 2020? | Matt Mulvihill

More videos:

  • Review - 2018 Niner RKT 9 RDO - First Look and Build Kit Overview
  • Review - Best Stock Picks Today | RKT Stock 9-2-20

Category Popularity

0-100% (relative to Upsolver and rkt)
Business & Commerce
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Online Services
100 100%
0% 0
Cloud Storage
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 Upsolver and rkt

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

rkt Reviews

5 Container Alternatives to Docker
In 2018, 12 percent of production containers were rkt (pronounced “Rocket”). Rkt supports two types of images: Docker and appc. A selling point of rkt is its pod-based process that works out of the box with Kubernetes (also referred to as “rktnetes”). In Kubernetes, an rkt container runtime can easily be specified:

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: almost 3 years ago

rkt mentions (0)

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

What are some alternatives?

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

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

GlusterFS - GlusterFS is a scale-out network-attached storage file system.

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.

Apache Karaf - Apache Karaf is a lightweight, modern and polymorphic container powered by OSGi.

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

containerd - An industry-standard container runtime with an emphasis on simplicity, robustness and portability