Search workflows have become faster for complex data while cloud-native flexibility still needs work
What is our primary use case?
My main use case for MarkLogic is primarily for health and insurance companies, and secondarily for publishers who maintain a large set of books online and any company that deals with big data. We keep high volume of data in MarkLogic because it provides a good search engine to query data in large datasets.
A specific example of how a publisher company would use MarkLogic in their workflow is maintaining data of a book, including who published that book, what the author name is, and how many editions exist. You can imagine that there are billions of books across the world, and we want to keep that digitized information in MarkLogic. If you want to search for a particular author, find how many books are published by a particular publisher, or discover editions of a particular book, you can get that information very quickly.
What is most valuable?
The best features MarkLogic offers include the ability to store unstructured data. You really don't need any particular schema, although it does support storing documents according to a particular schema, but that is not mandatory. You can store your data in XML and JSON format and you can store even binaries, JPEGs, PDFs and that kind of content in MarkLogic. The second feature is that it has a very rich search and cts APIs to build search engines on large datasets. The third is the spell suggestion APIs where, as you type, you will get suggestions of what you are searching for, which helps users understand what they are really searching for. Fourth is the redaction APIs. If you have a large set of data in a live environment and want redacted data in lower environments, the redaction APIs are very effective. From a user perspective, you can keep your data in redacted format in any environment, even on production.
The other valuable feature is the CPF, which is the Content Processing Framework. That is a very powerful tool. You can orchestrate how your document is processed before insertion or after insertion. A big example is that as soon as you have loaded a PDF into MarkLogic and want to extract the data from that PDF and store it as XML in MarkLogic for searching, that is where CPF is very useful.
MarkLogic has impacted my organization positively. We used to have one fetch API which was built using .NET API and the backend was SQL. We got to know from customers that the API was very slow and they were getting impacted. We moved to MarkLogic and created the API using JavaScript server-side language, and we saw almost 60% improvement in the speed of the search. The fetch results were 60% faster after that.
What needs improvement?
I think MarkLogic can be improved by providing good cloud infrastructure. Since we are in a very tech era, MarkLogic should provide good cloud infrastructure. If you look at other databases or systems like Kafka and MongoDB, they have cloud infrastructure. You do not need to worry about maintaining your own servers or provisioning your own servers. You simply log in and tell MarkLogic you want a certain number of clusters or nodes in a cluster and what cloud provider you want to use, then click okay, and they will build it for you. That is a headache with MarkLogic.
Apart from that, I don't see any issues. It is a really great product.
For how long have I used the solution?
I have been using MarkLogic for 11 years.
What do I think about the stability of the solution?
MarkLogic is not entirely stable. We used to have production issues, mainly due to MarkLogic failures. The node goes down sometimes or some memory errors occur. It is stable, but if I rate it out of 100%, it is 80-85% stable. Every year we used to have four to five issues.
What do I think about the scalability of the solution?
MarkLogic's scalability is very bad. In production, when you get to know that your data is increasing and you need to add one more node, that is not easy and not straightforward. You really need to do a lot of work and a lot of planning before you will be able to scale. But in today's world, if I talk about other systems like MarkLogic, if you have to scale, it is just a five-minute job. With MarkLogic, that is not the case.
How are customer service and support?
I find customer support to be good.
How would you rate customer service and support?
How was the initial setup?
MarkLogic has really good deployment processes. If you have a big MarkLogic architecture with hundreds of nodes in the cluster, many databases, forests, and many app servers, their deployment features like ML-Gradle can automate everything. You can create a new cluster within minutes through that Gradle. That is a very good feature they have provided.
What's my experience with pricing, setup cost, and licensing?
I'm not much aware of pricing, setup costs, and licensing because that is another team that deals with it. But if I am correct, a few times I heard them saying that MarkLogic is quite costly, and they are looking to move away in the longer run for that reason.
Which other solutions did I evaluate?
Before choosing MarkLogic, we analyzed SQL and other solutions, but after analyzing and doing some POCs, we found that in our case, we had to store a large amount of binary data and SQL was not that good at storing binary data, especially when your need is to perform searches inside the binaries. That was something we did not find in SQL, and we did not prefer SQL for that reason.
What other advice do I have?
My advice to others looking into using MarkLogic is that they really need to evaluate their use case. First, they need to evaluate what MarkLogic provides and what the features of MarkLogic are. Then they need to evaluate their use cases and check whether they are able to use the core features of MarkLogic. If not, then there is no point in moving to MarkLogic. Since it has a costly license, they really need to evaluate whether the features MarkLogic is providing would allow them to utilize most of them or not. I would love to see MarkLogic in more cloud-native architecture. I am giving this review a rating of 7.
A good alternative for a holistic NOSQL database
What do you like best about the product?
simple, great api integrations, provides different language support for querying, more features other than just database.
What do you dislike about the product?
available forums/documentation, pricing, learning curve
What problems is the product solving and how is that benefiting you?
solves unstructured data storage problems with features required from RDBMS. It helps in scaling applications since it provides API hooks and integration.
MarkLogic is a versatile database that can be easy to search, manage and house data.
What do you like best about the product?
MarkLogic can be a powerful search tool for finding specific information. It can handle and integrate many different types of data, making compiling easy.
It has through security protocols and robust notifications.
What do you dislike about the product?
MarkLogic can be overwhelminig to even experinced users, UI is built for professionals not layperson. It can be very expensive, so scale is important.
What problems is the product solving and how is that benefiting you?
MarkLogic managies diverse data sets, with quick and informative search capabilities. These can make information protection and effiencey much easier to manage and creates opportunities for further development. It intergrates with a variety of third-party software and is great for changing ideas/solutions.
It's known for its ability to manage unstructured and semi-structured data.
What do you like best about the product?
MarkLogic offers several features and capabilities that users often find beneficial for their data management needs. The combination of its multi-model capabilities, enterprise-grade security, scalability, performance, search capabilities, transaction support, and integration options makes MarkLogic a compelling choice for organizations dealing with complex and diverse data management challenges.
What do you dislike about the product?
While MarkLogic offers a robust set of features for managing complex data, potential users should carefully evaluate these considerations against their specific needs and priorities to determine whether MarkLogic is the right fit for their use case.
What problems is the product solving and how is that benefiting you?
MarkLogic addresses several common challenges associated with managing complex and diverse data sets in modern organizations.
Fast and Reliable Database
What do you like best about the product?
MarkLogic is a one-stop solution for our official works like search engine, database platform and knowledge transfer. MarkLogic runs on Non-Sql database which is highly scalable, when compared to Sql database. The auto removal of threat extensions and files which downloaded automatically are stopped. MarkLogic is user-friendly, and easy to deploy.
What do you dislike about the product?
The license cost of MarkLogic is so high, when compare to it's similar softwares. Some necessary websites are not allowed.
What problems is the product solving and how is that benefiting you?
I use MarkLogic as an enterprise search software tool, my lead sourcing, knowledge sharing with team everything is done in MarkLogic. MarkLogic's inbuilt AI assit help us to find the relevant informations to our search records.
Review of MarkLogic in IT
What do you like best about the product?
MarkLogic is a database platform managing large dataflows and different datatypes. It also stores various structured and unstructured queries along with various dataflows that can me managed under single device. It helps users for faster indexing and search from large datasets and allows users to handle increasing amount of data. Marklogic is compliance compliant providing atomicity,isolation, durability and consistency. Marklogic can be integrated with various third party tools and also provides confidentiality, integrity and auditing
What do you dislike about the product?
MarkLogic support is limited. There is proper support for high priority tickets resolution and adhering to SLA.
Customers using marklogic are vendor dependent for making any changes.
What problems is the product solving and how is that benefiting you?
MarkLogic addresses handling of unstructured data and allows handling of diverse datatypes with gdpr and HIPAA compliant.
MarkLogic Review
What do you like best about the product?
Works well with structured and unstructured data. It can be used for deep analytical purposes.
What do you dislike about the product?
Learning curve can be high. Price can be high depending on your specific implementation.
What problems is the product solving and how is that benefiting you?
for large scale/complex analytical applications and building similar tools.
Organized Data seamlessly
What do you like best about the product?
I think data has become a vital part of our business operations and understanding the ways it can be implemented
What do you dislike about the product?
It doesn't exactly organize the data in the way we'd ideally like to have it
What problems is the product solving and how is that benefiting you?
Pulling data from our clients risk and retention habits and gives us ability to judge where to go from there
Marklogic- Modern era NoSql DB with legacy features
What do you like best about the product?
1.Search capability.- search queries can be fired on XML and JSON, even on semi srtuctured data. Xquey personally i like the best
2.ACID property-Currently its the only NoSql database which provides this.Another leading NoSql DB HBASE dont have the feature.
3.Both horizontal and vertical scaling is supported.- Which fulfills both modern and traditional DB features.
4.Traditional features.- Backup and recovery, level of security
5.Automatic indexing of elements.- This gives a huge boost to search performance.
What do you dislike about the product?
1.Licencing cost.
2.Space required to store data seems excessive to me.
3.The beginners will have a stiff learning curve and might have to work hard to have a hold on the tool.
Nothing much for dislike.
What problems is the product solving and how is that benefiting you?
We have configured marklogic with nuxeo. So metadata of our emails,chat and fax are being stored in marklogic and the data itself in nuxeo.
Recommendations to others considering the product:
Ya , i ll recommend this product. But you have to decide where cost comes to picture. If your company or client are willing to spend then this will be the best.
