CouchDB vs MarkLogic comparison

Apache and MarkLogic are both solutions in the NoSQL Databases category. Apache is ranked #17, while MarkLogic is ranked #11 with an average rating of 9.5. Apache holds a 2.5% mindshare in ND, compared to MarkLogic’s 0.9% mindshare. Additionally, 100% of MarkLogic users are willing to recommend the solution.

CouchDB

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385 Comparison Views

MarkLogic

Read 2 MarkLogic reviews

230 Views
149 Comparison Views

100% willing to recommend

CouchDB

MarkLogic

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between CouchDB and MarkLogic based on real PeerSpot user reviews.

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

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Buyer's Guide

NoSQL Databases

November 2024

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Categories and Ranking

CouchDB

Ranking in NoSQL Databases

17th

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

MarkLogic

Ranking in NoSQL Databases

11th

Average Rating

9.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2024, in the NoSQL Databases category, the mindshare of CouchDB is 2.5%, up from 2.2% compared to the previous year. The mindshare of MarkLogic is 0.9%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases

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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

Financial Services Firm

14%

Computer Software Company

13%

Comms Service Provider

12%

Educational Organization

12%

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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What do you like most about MarkLogic?

The rules can show us if there are missing items, like titles, and we can add them in to ensure everything is filled and makes sense and there are no missing details.

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What is your experience regarding pricing and costs for MarkLogic?

It's a costly product. However, their reputation justifies the cost. It's a trusted product.

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What needs improvement with MarkLogic?

The spreadsheet capabilities could be improved. We need to convert spreadsheets into an open XML format. We have to do a few levels of conversions before we convert the data into the information we...

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Comparisons

ScyllaDB vs CouchDB

Compared 34% of the time

Couchbase vs CouchDB

Compared 30% of the time

MongoDB vs CouchDB

Compared 20% of the time

Apache HBase vs CouchDB

Compared 16% of the time

More CouchDB Competitors

MongoDB vs MarkLogic

Compared 63% of the time

Microsoft Azure Cosmos DB vs MarkLogic

Compared 38% of the time

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Product Reports

Buyer's Guide

NoSQL Databases

November 2024

Download CouchDB product report

Buyer's Guide

NoSQL Databases

November 2024

Download MarkLogic product report

Learn More

Apache

MarkLogic

Overview

Apache CouchDB is open source database software that focuses on ease of use and having a scalable architecture. It has a document-oriented NoSQL database architecture and is implemented in the concurrency-oriented language Erlang; it uses JSON to store data, JavaScript as its query language using MapReduce, and HTTP for an API.

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).

Sample Customers

Verizon, Dimagi Inc., Apple, Sinclair Broadcast Group, Perspecta

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

Find out what your peers are saying about MongoDB, ScyllaDB, Microsoft and others in NoSQL Databases. Updated: November 2024.

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