DBMS > MarkLogic
MarkLogic System Properties
Please select another system to compare it with MarkLogic.
|Editorial information provided by DB-Engines|
|Description||Operational and transactional Enterprise NoSQL database|
|Primary database model||Document store|
Native XML DBMS
RDF store as of version 7
|Current release||9.0, 2017|
|License Commercial or Open Source||commercial restricted free version is available|
|Cloud-based only Only available as a cloud service||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems||Linux|
|Data scheme||schema-free Schema can be enforced|
|Typing predefined data types such as float or date||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes|
|SQL Support of SQL||yes SQL92|
|APIs and other access methods||Java API|
Node.js Client API
proprietary Optic API Proprietary Query API, introduced with version 9
RESTful HTTP API
|Supported programming languages||C|
|Partitioning methods Methods for storing different data on different nodes||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes via Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
|Foreign keys Referential integrity||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID can act as a resource manager in an XA/JTA transaction|
|Concurrency Support for concurrent manipulation of data||yes|
|Durability Support for making data persistent||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes, with Range Indexes|
|User concepts Access control||Role-based access control at the document and subdocument levels|
|More information provided by the system vendor|
The MarkLogic Multi-Model Database provides the simplest way to integrate data from silos. It has two decades of development behind it, and has proven success in thousands of mission-critical environments around the world.
MarkLogic is a modern database with all the features that have made NoSQL databases popular, and a few more features that make it particularly excellent for data integration:
MarkLogic is a trusted database, having all the enterprise features required to handle sensitive enterprise data:
MarkLogic’s main use case is the MarkLogic Operational Data Hub. The fastest way to deploy the entire architecture is with the MarkLogic Data Hub Service, a fully automated cloud service for no-friction data integration. It makes it simple to deploy a MarkLogic Data Hub in minutes, enabling agile teams to immediately start integrating and curating data for both operational and analytical use. Delivered as a cloud service, it provides on-demand capacity, auto-scaling, automated database operations, and proven enterprise data security. But, unlike many cloud services, it is cost-effective and predictable even as enterprise workloads fluctuate.
The main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic makes data integration more agile, less expensive, and more secure. Our advantage is demonstrated in the proof of our customers’ results, but here are some of the key differentiating capabilities:
In Gartner’s 2018 Magic Quadrant for ODBMS (Operational Database Management Systems), MarkLogic is positioned in the Challengers quadrant for the past three years.
In Gartner’s 2018 Magic Quadrant for DMSA (Database Management Systems for Analytics), MarkLogic is positioned in the Visionary quadrant for the second year in a row.
|Typical application scenarios|
MarkLogic’s main use case is the Operational Data Hub. A Data Hub is useful for managing just about any type of data in any industry. But, there are some use cases that are often repeated among our customers:
MarkLogic has proven results managing mission-critical data with over 1,000 global customers:
Here is a list of some of MarkLogic’s notable customers:
ABN Amro, Morgan Stanley, Northern Trust, Deutsche Bank, Bank of America, Broadridge, Credit Suisse, Citi, Erie Insurance, Hanover Insurance Group, Hannover Re, HealthCare.gov, WellCare, Johnson & Johnson, Amgen, AbbVie, HSBlox, M*Modal, American Medical Association, Springer, Pearson, IHS Markit, Columbia University Press, British Standards Institution, The New England Journal of Medicine, Elsevier, Wolters Kluwer, Thomson Reuters, The British Broadcasting Company, Warner Bros., NBCUniversal, Dow Jones, Electronic Arts, Conde Nast, Sony, Chevron, Ensco, Cisco, Panasonic, Autoliv, Airbus, DHL, Dow, Pernod Ricard, United States Departments of Defense, Transportation, Agriculture, and Energy, World Bank Group, OECD (Organisation for Economic Co-operation and Development), the UK Government’s Ministry of Housing, Communities & Local Government, and many others.
MarkLogic is well known within the Fortune 1000, with a strong presence in financial services, the public sector, media and entertainment, publishing, manufacturing, energy, insurance, healthcare, pharma, and life sciences:
|Licensing and pricing models|
MarkLogic provides a variety of licenses and cloud services:
The latest pricing and licensing information is available on marklogic.com.
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Recent citations in the news|
MarkLogic Introduces AWS Glue Connector for Simpler Cloud Data Integration
MarkLogic Adds AWS Glue Connector for Simpler Cloud Data Integration
Global Enterprise Metadata Management (EMM) Market Demand Analysis 2020 | Oracle, Alteryx, SAP, Informatica, MarkLogic – KSU | The Sentinel Newspaper
provided by Google News
Sr. Marklogic Developer
Power BI Developer
2021 Software Engineer Paid Internship
Share this page