ReleaseWire

Document Databases Market Expected to Expand at a Steady CAGR Through 2025

Persistence Market Research has announced the addition of the “Document Databases Market: Global Industry Analysis and Opportunity Assessment, 2017-2025"report to their offering

Posted: Wednesday, April 04, 2018 at 12:11 AM CDT

New York, NY -- (SBWire) -- 04/04/2018 --Earlier, every organization used relational databases which required a predefined schema to store data. Today, due to the increasing awareness of big data analytics and cloud, data has become an integral part of every organization. Everyday huge amount of data is created, distributed and collated to make a business decision. With the evolution of document databases, storing data and their manipulation became easy. It enables a user to store unstructured or semi-structured data easily in the form of records that describes the data in a document as well as the actual data.

Document databases like MongoDB, CouchDB, and RavenDB encapsulated data and uses encoding techniques like XML, YAML, JSON and BSON and binary forms like PDF and Microsoft Office documents. These databases are used when an organization wants to store data that can be easily split and partitioned across some documents and does not have any complex relations between the data tables.

Document Databases: Drivers and Restraints

Factors like ease of internet access, simplicity, speed and scalability of document databases are boosting the growth of the market. Also, most of the document databases are open-source, schema-less, and runs efficiently on clusters.

The factors restraining the market of document database are problems faced in testing the NoSQL applications and complexity in using the database in applications that have structured data.

Innovative launches of NoSQL solutions is one of the trends in document database market.

Document Databases: Segmentation

Segmentation based on types in Document Databases Market:

Key-value: It makes use of hash tables and has a unique key and pointer to specific data
Column oriented: It allows large amount of data to be stored and processed over distributed systems
Document stored: It stores semi-structured document in formats like
Graph based: This model can scale across multiple machines.

Segmentation based on applications in Document Databases Market:

E-commerce
Web applications
Mobile applications
Social media
Others

Segmentation based on end-user in Document Databases Market:

BFSI
Retail
IT
Government
Healthcare
Education

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Document Databases: Competitive Landscape

Key players in the Document Databases market are Couchbase, Inc., MongoDB, Inc., Amazon.com, Inc., MarkLogic Corporation, Aerospike, Inc., Neo Technology, Inc., Basho Technologies, DataStax, Inc, Oracle Corporation and MapR Technologies, Inc.