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Upsolver VS Apache Karaf

Compare Upsolver VS Apache Karaf and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

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).

Apache Karaf logo Apache Karaf

Apache Karaf is a lightweight, modern and polymorphic container powered by OSGi.
  • Upsolver Landing page
    Landing page //
    2023-08-06
  • Apache Karaf Landing page
    Landing page //
    2021-07-29

Upsolver videos

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

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Apache Karaf videos

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EIK - How to use Apache Karaf inside of Eclipse

More videos:

  • Review - OpenDaylight's Apache Karaf Report- Jamie Goodyear

Category Popularity

0-100% (relative to Upsolver and Apache Karaf)

Upsolver

Apache Karaf

Business & Commerce
100 100%
Business & Commerce
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100
Online Services
100 100%
Online Services
0% 0
Cloud Hosting
0 0%
Cloud Hosting
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 Apache Karaf

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

Apache Karaf Reviews

We have no reviews of Apache Karaf yet.
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Social recommendations and mentions

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

Apache Karaf mentions (1)

  • Need advice: Java Software Architecture for SaaS startup doing CRUD and REST APIs?
    Apache Karaf with OSGi works pretty nice using annotation based dependency injection with the declarative services, removing the need to mess with those hopefully archaic XML blueprints. Too bad it's not as trendy as spring and the developers so many of the tutorials can be a bit dated and hard to find. Karaf also supports many other frameworks and programming models as well and there's even Red Hat supported... Source: about 3 years ago

What are some alternatives?

When comparing Upsolver and Apache Karaf, 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.

Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.

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.

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

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

Apache ServiceMix - Apache ServiceMix is an open source ESB that combines the functionality of a Service Oriented Architecture and the modularity.

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