MarkLogic Vs MongoDB

Table of contents

Reading Time: 4 minutes

The need to compare databases and to keep hunting for the perfect one seems never-ending. In this blog, We’re going to see the comparison between MarkLogic and MongoDB.

This blog helps you choose by looking into the differences and similarities between the two: MarkLogic and MongoDB.

Although MarkLogic differs from a relational database in that MarkLogic was designed to not have schema requirements for data and was designed for huge horizontal scalability on common hardware, it is similar to a relational database in that it is for mission-critical, real-time application.

Comparison Study

MarkLogic and MongoDB can be categorized as “Databases” tools.
Developers describe MarkLogic as agnostic Enterprise NoSQL database technology, coupled with powerful search & flexible application services.
MarkLogic is the only Enterprise NoSQL database, that brings all the features you need into one unified system.
Whereas, MongoDB is detailed as the database for giant ideas.
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema.
MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

Overview of the MarkLogic

As we know that Marklogic, Formally known as MarkLogic Server, is an enterprise NoSQL database with broad support for data, unstructured to structured, including JSON, XML, RDF, text, and binary data types.

MarkLogic has schema flexibility, High Scalability, and high availability of a NoSQL database, as well as enterprise features.

Some advanced capabilities make Marklogic the best like as we know Marklogic is considered the most secure multi-module database also we can deploy it in any environment very easily. Also, users can retrieve the data very easily as well as very quickly.

Let us talk about little few features provided by MarkLogic in most of the NoSQL database tecnology-

Availability is high.
The horizontal scalability.
No schema is required.

Now Highlight the points which are not present in simple NoSQL databases but especially provided by the Marklogic-

Built-in-search.
Government-grade security.
ACID transactions.

Key Benefits

High-Performance Transactional Database – Use ACID transactions to ensure you don’t risk encountering data corruption, stale reads, and inconsistent data.
Built-In Search – MarkLogic provided the feature of built-in search by which you are allowed to ask anything by using a universal index where data is indexed upon load.
Flexible Deployment – Once you build your app then it can be run anywhere, wherever you wanted to run it. We can easily do the migration to the cloud later also if we want to change the cloud vendor as well we can do it here very easily. Because MarkLogic is cloud-neutral.
Scalability and Elasticity – MarkLogic can scale horizontally in clusters. It can process a large number of transactions in a few seconds.
Smart Mastering – There is no need of buying a separate MDM tool. In the MarkLogic data hub, we can master the data quickly and automatically.
Semantics Support – Semantic technologies refer to a family of W3C standards that allow the exchange of data in machine-readable form, whether on the Web or within organizations.
Cost Effective – Free automated bursting does not lead to spikes in cost. Low cost and predictable.
Security –Document and sub-document level security. More advanced security features for data sharing.
Cloud Capable –MarkLogic clusters can be deployed on Amazon Elastic Compute Cloud (EC2).

Overview Of the MongoDB

MongoDB, the most popular NoSQL database, is an open-source document-oriented database. The term ‘NoSQL’ means ‘non-relational’.
It means that MongoDB isn’t based on the table-like relational database structure but provides an altogether different mechanism for the storage and retrieval of data. This format of storage is called BSON, the JSON binary format.
Basically, MongoDB is designed to work on a cluster that distributes data across multiple servers of your architecture.
You also can use MongoDB as a standalone server, without clustering. Furthermore, you can replicate your data through multiple servers.
MongoDB has grown to be the most popular document database, leveraging its open-source license and ease of use.

Key Benefits

Flexible Document Schemas – MongoDB supports creating explicit schemas and validating data. This flexibility is an incredible asset when handling real-world data and changes in requirements or environments.
Simple Installation –If you want to run MongoDB on your own hardware, there are many ways to get started. You can install the community or enterprise version directly on a server. You can also create your own MongoDB container.
Cost – If we compare from MarkLogic then it’s more expensive than the MarkLogic. MongoDB offers multiple flexible approaches. Need to pay for multiple services.
Search –Requires index management. Requires Atlas Search or 3rd party tool for fine-grained full-text search.
Scalability – Auto-scaling of computing and storage. Scale-out using data sharding and Scale-up using replica set.
Full cloud-based application data platform.
Change-Friendly Design – There’s no downtime required to change schemas, and you can start writing new data to MongoDB at any time, without disrupting its operations.

Conclusion

MongoDB has grown in popularity because it’s a tool built with developers in mind. It is easy to get started with MongoDB, and it offers many powerful features. It is also easy to install and manage.

For enterprise organizations that are looking to integrate data and power mission-critical use cases with a scalable, multi-model database, MarkLogic Data Hub Service is a better fit.

Reference Link: