Cassandra vs MarkLogic comparison

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Apache Logo
3,406 views|2,666 comparisons
89% willing to recommend
MarkLogic Logo
230 views|170 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out in this report how the two NoSQL Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Cassandra vs. MarkLogic Report (Updated: March 2024).
771,157 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The most valuable features of Cassandra are the NoSQL database, high performance, and zero-copy streaming.""The technical evaluation is very good.""Our primary use case for the solution is testing.""Can achieve continuous data without a single downtime because of node to node ring architecture.""The most valuable features of this solution are its speed and distributed nature.""A consistent solution.""The solution's database capabilities are very good.""The time series data was one of the best features along with auto publishing."

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"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.""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."

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Cons
"The disc space is lacking. You need to free it up as you are working.""There were challenges with the query language and the development interface. The query language, in particular, could be improved for better optimization. These challenges were encountered while using the Java SDK.""The initial setup of Cassandra can be difficult in the configuration. There might be a need to have assistance. The implementation process can six months for connecting to certain databases.""Cassandra can improve by adding more built-in tools. For example, if you want to do some maintenance activities in the cluster, we have to depend on third-party tools. Having these tools build-in would be e benefit.""The secondary index in Cassandra was a bit problematic and could be improved.""It can be difficult to analyze what's going on inside of the database relative to other databases. It can also be difficult to troubleshoot sometimes.""Cassandra could be more user-friendly like MongoDB.""The solution is limited to a linear performance."

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"One of the most common requests is to improve the user interface of the database. While it is primarily a database, there are other databases available that offer more user-friendly interfaces. The UI is good for developers but not for regular users. More visuals would be beneficial.""The spreadsheet capabilities could be improved."

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Pricing and Cost Advice
  • "Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."
  • "There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."
  • "We are using the open-source version of Cassandra, the solution is free."
  • "We pay for a license."
  • "I don't have the specific numbers on pricing, but it was fairly priced."
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  • "MarkLogic is a pricey option, but there are some advantages to its pricing structure. For medium-sized clients or departments within larger companies, it is possible to obtain a license for one or two nodes for less than a hundred thousand dollars. Additionally, if you only need to deploy a single node, you can do so for under fifty thousand dollars. This is in contrast to other high-quality software options that are only accessible to larger businesses, where the starting price can be upwards of two hundred thousand dollars."
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    Questions from the Community
    Top Answer:The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time… more »
    Top Answer:There were challenges with the query language and the development interface. The query language, in particular, could be improved for better optimization. These challenges were encountered while using… more »
    Top Answer: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.
    Top Answer:It's a costly product. However, their reputation justifies the cost. It's a trusted product.
    Top Answer: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… more »
    Ranking
    4th
    out of 18 in NoSQL Databases
    Views
    3,406
    Comparisons
    2,666
    Reviews
    7
    Average Words per Review
    358
    Rating
    7.3
    9th
    out of 18 in NoSQL Databases
    Views
    230
    Comparisons
    170
    Reviews
    2
    Average Words per Review
    587
    Rating
    9.5
    Comparisons
    Couchbase logo
    Compared 21% of the time.
    MongoDB logo
    Compared 12% of the time.
    InfluxDB logo
    Compared 12% of the time.
    ScyllaDB logo
    Compared 12% of the time.
    Oracle NoSQL logo
    Compared 7% of the time.
    Learn More
    Overview

    Cassandra is a distributed and scalable database management system used for real-time data processing. 

    It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model. 

    It is commonly used in finance, e-commerce, and social media industries.

    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
    1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota
    ALM, American Psychological Association, American Society of Agronomy, Cond_ Nast, Centers for Medicare and Medicaid Services, Institute of Engineering and Technology, JWG Group, Lagardre Active, RSuite CMS, Wiley
    Top Industries
    REVIEWERS
    Comms Service Provider25%
    Computer Software Company13%
    University13%
    Financial Services Firm13%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company15%
    Comms Service Provider6%
    Healthcare Company6%
    No Data Available
    Company Size
    REVIEWERS
    Small Business39%
    Large Enterprise61%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    No Data Available
    Buyer's Guide
    Cassandra vs. MarkLogic
    March 2024
    Find out what your peers are saying about Cassandra vs. MarkLogic and other solutions. Updated: March 2024.
    771,157 professionals have used our research since 2012.

    Cassandra is ranked 4th in NoSQL Databases with 19 reviews while MarkLogic is ranked 9th in NoSQL Databases with 2 reviews. Cassandra is rated 8.0, while MarkLogic is rated 9.6. The top reviewer of Cassandra writes "Well-equipped to handle a massive influx of data and billions of requests". On the other hand, the top reviewer of MarkLogic writes "Frequent updates, helpful search capabilities, and high quality support". Cassandra is most compared with Couchbase, MongoDB, InfluxDB, ScyllaDB and Oracle NoSQL, whereas MarkLogic is most compared with MongoDB. See our Cassandra vs. MarkLogic report.

    See our list of best NoSQL Databases vendors.

    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.