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MarkLogic Server

MarkLogic Server

Overview

What is MarkLogic Server?

MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities. The vendor states it is the most secure multi-model database, and it’s deployable in any environment. They state it is an ideal database to…

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Recent Reviews

TrustRadius Insights

MarkLogic is a versatile software used by various industries to implement solutions for their clients. It is utilized in publishing …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Pricing

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Low Priority Fixed

$0.01

Cloud
per MCU/per hour + 0.10 per GB/per month

Standard Reserved

$0.07

Cloud
per MCU/per hour + 0.10 per GB/per month

Standard On-Demand

$0.13

Cloud
per MCU/per hour + 0.10 per GB/per month

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Details

What is MarkLogic Server?

MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities. The vendor states it is the most secure multi-model database, and it’s deployable in any environment. They state it is an ideal database to power a data hub.

Since the February 2023 acquisition, MarkLogic is a Progress brand.

MarkLogic Server Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities. The vendor states it is the most secure multi-model database, and it’s deployable in any environment. They state it is an ideal database to power a data hub.

Lucidworks Fusion, Microsoft SharePoint, and Elasticsearch are common alternatives for MarkLogic Server.

The most common users of MarkLogic Server are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews and Ratings

(18)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

MarkLogic is a versatile software used by various industries to implement solutions for their clients. It is utilized in publishing workflows, enterprise search, big data analytics, and the semantic web. Users have praised its powerful geospatial search feature, which efficiently searches locations based on latitude and longitude. MarkLogic's indexing and tokenization techniques contribute to the quick execution of search queries.

Healthcare organizations rely on MarkLogic as a backend store for patient records, enabling storage, retrieval, and updates. By using a micro-services approach with patient matching and search functionality, MarkLogic helps keep patients up-to-date across multiple hospitals. It also serves as a central store for companies dealing with large amounts of data across multiple clusters, providing efficient storage and search capabilities.

In the academic publishing field, MarkLogic is extensively used for end-to-end data flow, including metadata and full-text content. Its newer features like semantics and JavaScript support are leveraged to develop cutting-edge technology.

MarkLogic's multi-model approach, scalability, and exceptional performance in handling XML data make it a preferred choice. It is also employed for reporting purposes with potential for future OLTP and OLAP services. Companies utilize MarkLogic to create DataHubs that consolidate data from various sources, enabling business teams to leverage the data with BI tools.

The technology department at Zynx Health relies on MarkLogic as the primary database layer for clinical decision support analytics. MarkLogic's XML-based solution proves valuable in handling hierarchically structured and semi-structured healthcare data.

Attribute Ratings

Reviews

(1-3 of 3)
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November 19, 2018

Close to perfect NoSQL DB

Prabhudayal Acharya | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We are searching some restaurants near by any location. We have used the geospatial search feature of MarkLogic. For those who do not know what geopspatial search is the next 3 line is for you. Its search based on geo location using latitude and longitude as parameters. The whole world is divided into some grids by latitude and longitude. Using that feature each and every location can be presented by 2 numbers, one how far and in which direction is it from 00 degree latitude and from 00 longitude. Geospatial search is one of the great features of MarkLogic. It has some in-built features to calculate the distance of a data point from another data point provided that both data have latitude and longitude data present in it. Another features which I like about MarkLogic is - It is really efficient for searching. The time it takes for a search query to run is really less. Thanks to the Indexing and tokenization technique of ML.
  • MarkLogic supports fully ACID transaction and I think this is very rare in a NoSQL system.
  • The recent version of MarkLogic has Integration with Node.js, REST, JSON which has really made the developers life easier to build integrated systems.
  • MarkLogic provides superb documentation for us. It really helps to understand which features work how. Example is- the whole dedicated website for it. https://docs.marklogic.com/
  • From the point of infrastructure - Installation, configuration and deployment is very fast. Compared to RDBMS , it's really easy to scale MarkLogic horizontally by adding nodes.
  • The licence cost is HIGH.
  • The amount of space required to store the data seems high hence costly.
  • The compatibility with legacy system is not yet available. I feel this area needs to be improved very fast.
NoSQL Databases (7)
84.28571428571429%
8.4
Performance
90%
9.0
Availability
90%
9.0
Concurrency
80%
8.0
Security
90%
9.0
Scalability
100%
10.0
Data model flexibility
70%
7.0
Deployment model flexibility
70%
7.0
If you are storing META data then MarkLogic is super useful as it retrieves everything so fast, while storing the whole data shows performance issues some times. If you have legacy systems then migrating from it would really require sweat and blood, on the other hand if you are in systems like Node.js you can simply integrate two systems easily. If you don't know how in the end your your data schema will look like then it's better to make a prototype using MarkLogic.
  • Generally speaking, it has positive effects on the product. ROI is kind of ok as the licensing cost is bit higher.
  • Flexible Data Model and Universal Index features of MarkLogic, will help you for sure in achieve quick ROI. For long term you need to think.
In comparison to both Mongo and HBase, MarkLogic wins in terms of integration to other systems, while loosing in terms of pricing.
In terms of documentation all will be in same range putting MarkLogic a bit forward.
Although the price is high the amount of support and flexibility to integrate other systems is also high. It depends on the back-end data too. If it's too critical then its better to renew MarkLogic licence. Migrating to some other opensource platform is difficult in most of the cases. And as always the renewal depends on the management decision which involves cost.
Harry Bakken | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Our company is a business partner with MarkLogic. We have a large practice dedicated to MarkLogic and have worked with many of MarkLogic's largest clients in nearly all verticals implement solutions built on MarkLogic. We have broad expertise across all areas of MarkLogic and help companies architect and deliver robust solutions powered by this database platform. We solved all sorts of business problems including publishing work flows, advanced enterprise search, intense big data analytics, and the semantic web. MarkLogic is a powerful platform for enterprise data hubs (operational data warehouses) and business tools. The "out of the box" search capabilities of this tool are unrivaled.
  • MarkLogic does everything well, but search is the "bread and butter" operation. All data is indexed on-the-fly and the API's offer a multitude of ways to create incredibly powerful search applications. The search engine isn't bolted on- it's at the core of the database. Search suggestion, relevance, advanced grammar, spell correction (did you mean?), paginated search over massive numbers of records, etc. is all at the fingertips of the developer. The database scales to massive size and yet search returns sub-second results for the most complex search parameters.
  • High availability, disaster recovery, and scaling is handled incredibly well. In the AWS cloud, it is trivial to set up a MarkLogic system to elastically scale with data and request volume- truly elastic, adding nodes and removing them as needed. Databases can replicate to a remote datacenter in real-time to provide instant cut-over for datacenter loss. Clustered servers provide highly available replication of data to instantly recover from node failures.
  • Security is increasingly important as data takes center stage in an enterprise. MarkLogic's role-based security is baked in to every query. This is battle-hardened content control.
  • Flexibility is unrivaled. Any data can be stored reliably and securely in the MarkLogic database. Records can be stored as text, XML, JSON, or binary. All text, XML, and JSON is instantly indexed and the various strategies for indexing are easy to configured and well documented. MarkLogic is also a powerful semantic triple store. Unlike any other NoSQL solution, MarkLogic can handle full documents, graphs, key-value pairs, binaries, etc. in a single database, providing powerful and unique ways of combining enterprise data.
  • MarkLogic still has a long way to go in fostering the developer community. Many developers are gravitating to the simple integrations and do not delve into the deeper capabilities. They have made tremendous strides in recent months and I am sure this will improve over time.
  • Many of the best features are left on the floor by enterprises who end up implementing MarkLogic as a data store. MarkLogic needs to help customers find ways to better leverage their investment and be more creative in how they use the product.
  • Licensing costs become a major hurdle for adoption. The pricing model has improved for basic implementations, but the costs seem very prohibitive for some verticals and for some of the most advanced features.
There are few situations where MarkLogic is not well suited, however there's certainly use cases where it is using a missile to swat a fly. Important considerations in the selection process include:

  • Mission critical nature of your data
  • Complexity of your data- do you have polystructured data?
  • Data volume- MarkLogic can handle few records, but it's really meant to house significant volumes of data.
  • Composition of your development team
  • Lifecycle of your system
  • We've had customers who have been able to save their organization hundreds of thousands of dollars by preventing duplication of costly processes. Powerful search capabilities into what different business units had available drives better decisions.
  • Ability to receive content in personalized ways has lead to significant new sales opportunities for some of our customers. This personalization includes on-demand publishing of specific articles on specific topics in addition to recommendation engines and shopping cart analysis.
  • One customer that has an extremely advanced application leveraging nearly every feature MarkLogic has to offer found nearly 3:1 cost savings using MarkLogic when they performed an analysis of projected development and maintenance costs to replicate all their functionality on open source stacks.
There's no other single product that directly compares to all the features that are packed into MarkLogic. Generally speaking, you're looking at a combination of many products to build a stack that competes feature-for-feature. Even if you're leveraging only a limited set of features, the ease of use and robustness of MarkLogic justify the licensing cost differential. TCO makes MarkLogic a better value.
Our firm has consultants for a number of technologies/disciplines. While I am capable and experienced in other areas, my preference is always to work on engagements with MarkLogic. As an architect and developer, I get far more flexibility and performance from one product instead of cobbling together a stack of several products to provide a capability that MarkLogic has rolled into one great product.
There's always room for improvement. Some problems get solved faster than others, of course. MarkLogic's direct support is very responsive and professional. If they can't help immediately, they always have good feedback and are eager to receive information and details to work to replicate the problem. They are quick to escalate major support issues and production show-stopping problems.

In addition to MarkLogic's direct support, there are several employees who are very active among the community and many questions and common issues get quick attention from helpful responses to email and StackOverflow questions.
Yes
Once a verified bug is reported, they have always been good about helping to implement a workaround that gets us unstuck. The permanent fix typically appears in the next release. Your mileage may vary.
I'd say we almost always get exceptional support from MarkLogic. We had a situation on one project where we simply couldn't squeeze the performance out of a query that we needed for our solution. MarkLogic worked with us to provide professional services resources to help. They were able to leverage others within the company and as a team we were able to arrive at a working solution. This wasn't a "run of the mill" scenario. It was extremely advanced, but MarkLogic is committed to helping their customers succeed.
  • Search is very elegant, flexible, and powerful.
  • Backups and restore are relatively pain-free. Especially compared to other systems.
  • Query Console is a very powerful tool that helps a new developer understand how to code/interact with the server as well as provides access to data.
  • Installation and upgrading is really easy. System admin is generally easy as well.
  • MarkLogic has made good progress, but the system architecture does complicate deployment as compared to other application servers.
  • Replicating massively large datasets across servers can be tough sometimes. Again, some methods are pretty good, but may not always be feasible. By massive, I mean tens of millions of records, many GB of data, so nothing really does that easily.
No
Very little about it can be done better or with greater ease. Even things that seem difficult aren't really that bad. There's multiple ways to accomplish any admin task. MarkLogic requires a fraction of administrative effort that you see with enterprise RDBMS like Oracle. MarkLogic is continually improving the tools to simplify cluster configuration and maintenance.
October 07, 2015

Can You Bet on It?

Daniel Davenport | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
MarkLogic is the database engine at the core of my company's flagship product. We use it to store and search approximately 100 TB of data across approximately 10 separate clusters. It most cases we can produce search results with amazing speed.
  • MarkLogic is fast and flexible. The data does not have to be structured (particularly in advance).
  • MarkLogic is a combination database, search engine, and application server. As a database, it is ACID compliant which is absolutely essential for mission critical production applications.
  • MarkLogic is dependable, in almost all cases recovers by itself, and is relatively easy to administer.
  • MarkLogic is not cheap, either for the software itself, the hardware to run it on, or the investment in learning necessary to use it effectively. While MarkLogic has gone to great pains to add multiple interfaces so that a deep understanding of XQuery is theoretically not necessary, I feel XQuery is essential to understanding the product well enough to use it in production applications.
  • Specifically, it is my understanding that switching database contexts is expensive in terms of performance. There could be be a improvement in the ability to query across databases, or even across clusters, that could drive greater flexibility in design decisions.
  • The security model definitely could be improved to facilitate sharing users, roles, and permissions across clusters. Building your own security model to allow users access to data on different clusters is very complex and leads to a number of performance issues.
The first question is [around] how rigidly your data is structured. If it is well structured and non-volatile, an RDBMS database is an alternative. If it is not well structured or the structure changes, a NoSQL database should definitely be considered. However, there is no free lunch. NoSQL requires a different mindset and skill set. It is easy to set up a prototype that runs but much harder to design it to really take advantage of the speed it is capable of. To be able to query 10TB of data and get an accurate subsecond response is a thing of beauty. To be able to do it consistently requires a lot of deep technical knowledge. People with deep technical knowledge of MarkLogic, NoSQL, XML, and XQuery are in great demand. You will need a good plan to find, grow, and keep such talent.
  • It took longer than expected to develop our application and get the level of consistent performance necessary. As a result, profit was flat for a couple of years but the benefits are really starting to kick in.
I have used most of the common RDBMS databases (SQL Server, Oracle, MySQL, etc.). MarkLogic is more dependable, faster, and flexible. I would not willingly go back to RDBMS. As far as open source competition to MarkLogic such as MongoDB, I haven't used it myself so I don't have direct knowledge. If I was starting a company I would definitely look at MongoDB but carefully evaluate the real cost (technical talent, support) before making a decision. Be very sure of how important ACID compliance is to you. If you can afford it, betting your company on MarkLogic is a good bet.
MarkLogic is expensive but solid. While we use open source for almost everything else, the backend database is too critically important. At this point, re-tooling for a different back end would take too much time to be a viable option.
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