MarkLogic vs Red Hat Data Grid comparison

Progress Software and Red Hat are both solutions in the NoSQL Databases category. Progress Software is ranked #20, while Red Hat is ranked #18. Progress Software holds a 1.4% mindshare in ND, compared to Red Hat’s 3.8% mindshare. Additionally, 100% of Progress Software users are willing to recommend the solution.

MarkLogic

Read 2 MarkLogic reviews

237 Views
115 Comparison Views

100% willing to recommend

Red Hat Data Grid

329 Views
116 Comparison Views

MarkLogic

Red Hat Data Grid

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between MarkLogic and Red Hat Data Grid based on real PeerSpot user reviews.

Find out what your peers are saying about MongoDB, ScyllaDB, InfluxData and others in NoSQL Databases.

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Buyer's Guide

NoSQL Databases

May 2025

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Helped 853,960 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

MarkLogic

Ranking in NoSQL Databases

20th

Average Rating

9.6

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Red Hat Data Grid

Ranking in NoSQL Databases

18th

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the NoSQL Databases category, the mindshare of MarkLogic is 1.4%, up from 0.9% compared to the previous year. The mindshare of Red Hat Data Grid is 3.8%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases

Featured Reviews

Beverly R. Jamison

IT Solutions Architect / Computer Scientist at Practical Semantics

Frequent updates, helpful search capabilities, and high quality support

MarkLogic's greatest asset is its strong engineering foundation. It was specifically designed with search capabilities in mind, and the developers placed a great emphasis on ensuring the quality of the indexing and all subsequent layers that were added. The solution has been good at providing the updates that were what we were hoping for. They frequently update the solution.

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

33%

Computer Software Company

21%

Government

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Comparisons

MongoDB vs MarkLogic

Compared 47% of the time

Microsoft Azure Cosmos DB vs MarkLogic

Compared 33% of the time

Neo4j Graph Database vs MarkLogic

Compared 21% of the time

More MarkLogic Competitors

Redis vs Red Hat Data Grid

Compared 87% of the time

MongoDB vs Red Hat Data Grid

Compared 13% of the time

More Red Hat Data Grid Competitors

Product Reports

Buyer's Guide

NoSQL Databases

May 2025

Download MarkLogic product report

Buyer's Guide

NoSQL Databases

May 2025

Download Red Hat Data Grid product report

Overview

MarkLogic is an operational and transactional Enterprise NoSQL database that is designed to integrate, store, manage and search SON and XML documents and semantic data (RDF Triples).

Progress Software

Red Hat Data Grid is an in-memory key-value data store, similar to a NoSQL database, and can be used by applications as their primary data store for rapid access to in-memory data, although data may also be persisted for recovery, backup, and archiving.

Red Hat

Sample Customers

ALM, American Psychological Association, American Society of Agronomy, Cond_ Nast, Centers for Medicare and Medicaid Services, Institute of Engineering and Technology, JWG Group, Lagardre Active, RSuite CMS, Wiley

TTTECH, Thai bank

Find out what your peers are saying about MongoDB, ScyllaDB, InfluxData and others in NoSQL Databases. Updated: May 2025.

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We monitor all NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.