Software Alternatives & Reviews

Aqua Security VS Upsolver

Compare Aqua Security VS Upsolver and see what are their differences

Aqua Security logo Aqua Security

Aqua Security provides a security solution for virtual containers.

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).
  • Aqua Security Landing page
    Landing page //
    2023-09-18
  • Upsolver Landing page
    Landing page //
    2023-08-06

Aqua Security videos

Aqua Security Team in Tel Aviv 2020

Upsolver videos

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Category Popularity

0-100% (relative to Aqua Security and Upsolver)
Online Services
48 48%
52% 52
Security
100 100%
0% 0
Business & Commerce
0 0%
100% 100
Security & Privacy
57 57%
43% 43

User comments

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Reviews

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

Aqua Security Reviews

7 Best Container Security Tools & Solutions 2022
Aqua Security, also known as Aqua or AquaSec, is a cloud-native solution that offers container security, Kubernetes security, and serverless security products, among others. Aqua is for Linux and Windows containers and provides both on-premises and cloud deployment options. Using Aqua, businesses can view scans of container images and a rank of their vulnerability severity....

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 Aqua Security. We know about 1 link to it since March 2021 and only 1 link to Aqua Security. 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.

Aqua Security mentions (1)

  • Kubernetes Hardening Tutorial Part 3: Authn, Authz, Logging & Auditing
    It's an open-source project by Aqua Security and you might have already known them because of their other project trivy which is a scanner for vulnerabilities in container images, file systems, and Git repositories, as well as for configuration issues. - Source: dev.to / about 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 Aqua Security and Upsolver, you can also consider the following products

CrowdStrike Falcon Endpoint Protection - Cloud-based endpoint protection for businesses. The Falcon platform offers nex-gen endpoint security with an intelligent, easy-to-install lightweight agent.

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.

Lacework - Lacework is a highly trusted platform that provides security for Cloud Environments, DevOps, and Containers.

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.

Druva Cloud Platform - Druva offers a Data Resiliency Cloud Platform that allows you to unleash the capabilities of the cloud to energize your company with data security and management.

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