This article contains promotional content .(January 2018) |
Company type | Public |
---|---|
Industry | Software |
Founded | 2001 |
Founder | Christopher Lindblad |
Headquarters | , United States |
Key people | Yogesh Gupta (President & CEO) |
Products | MarkLogic licenses, support, and consulting services |
Revenue | $100 Million [1] |
Owner |
|
Number of employees | 500 |
Website | progress.com/marklogic |
MarkLogic is an American software business that develops and provides an enterprise NoSQL database, which is also named MarkLogic. They have offices in the United States, Europe, Asia, and Australia.
In February 2023, MarkLogic was acquired by Progress Software for $355 million. [2]
Founded in 2001 by Christopher Lindblad and Paul Pedersen, MarkLogic Corporation is a privately held company with over 500 employees [3] that was acquired by Vector Capital in October 2020. [4]
MarkLogic was originally named Cerisent when it was founded in 2001 [5] by Christopher Lindblad, who was the Chief Architect of the Ultraseek search engine at Infoseek, as well as Paul Pedersen, a professor of computer science at Cornell University and UCLA, and Frank R. Caufield, Founder of Darwin Ventures, [6] to address shortcomings with existing search and data products. The product first focused on using XML document markup standard and XQuery as the query standard for accessing collections of documents up to hundreds of terabytes in size.
In 2009, IDC mentioned MarkLogic as one of the top Innovative Information Access Companies with under $100 million in revenue. [7]
In May 2012, Gary Bloom was appointed as Chief Executive Officer. [8] He held senior positions at Symantec Corporation, Veritas Software, and Oracle. [9]
Post-acquisition, the company named Jeffrey Casale as its new CEO.
MarkLogic received its first financing of $6 million in 2002 led by Sequoia Capital, followed by a $12 million investment in June 2004, this time led by Lehman Brothers Venture Partners. [10] The company received additional funding of $15 million in 2007 from its existing investors Sequoia and Lehman. [10] The same investors put another $12.5 million into the company in 2009. [11]
On 12 April 2013, MarkLogic received an additional $25 million in funding, led by Sequoia Capital and Tenaya Capital. [12] [13] On May 12, 2015, MarkLogic received an additional $102 million in funding, led by Wellington Management Company, with contributions from Arrowpoint Partners and existing backers, Sequoia Capital, Tenaya Capital, and Northgate Capital. This brought the company's total funding to $173 million and gave MarkLogic a pre-money valuation of $1 billion. [14]
NTT Data announced a strategic investment in MarkLogic on 31 May 2017. [15]
The MarkLogic product is considered a multi-model NoSQL database for its ability to store, manage, search JSON and XML documents and semantic data (RDF triples).
MarkLogic is proprietary software, available under a freeware developer software license or a commercial "Essential Enterprise" license. [17] Licenses are available from MarkLogic or directly from cloud marketplaces such as Amazon Web Services and Microsoft Azure.
MarkLogic is a multi-model NoSQL database that has evolved from its XML database roots to also natively store JSON documents and RDF triples for its semantic data model. It uses a distributed architecture that can handle hundreds of billions of documents and hundreds of terabytes of data.[ citation needed ] MarkLogic maintains ACID consistency for transactions and has a Common Criteria certification security model, high availability, and disaster recovery. It is designed to run on-premises within public or private cloud computing environments like Amazon Web Services. [18]
MarkLogic's Enterprise NoSQL database platform is used in various sectors, including publishing, government and finance. It is employed in a number of systems currently in production. [18]
An object database or object-oriented database is a database management system in which information is represented in the form of objects as used in object-oriented programming. Object databases are different from relational databases which are table-oriented. A third type, object–relational databases, is a hybrid of both approaches. Object databases have been considered since the early 1980s.
Db2 is a family of data management products, including database servers, developed by IBM. It initially supported the relational model, but was extended to support object–relational features and non-relational structures like JSON and XML. The brand name was originally styled as DB2 until 2017, when it changed to its present form. In the early days, it was sometimes wrongly styled as DB/2 in a false derivation from the operating system OS/2.
A query language, also known as data query language or database query language (DQL), is a computer language used to make queries in databases and information systems. In database systems, query languages rely on strict theory to retrieve information. A well known example is the Structured Query Language (SQL).
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An XML database is a data persistence software system that allows data to be specified, and stored, in XML format. This data can be queried, transformed, exported and returned to a calling system. XML databases are a flavor of document-oriented databases which are in turn a category of NoSQL database.
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Solr is an open-source enterprise-search platform, written in Java. Its major features include full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, database integration, NoSQL features and rich document handling. Providing distributed search and index replication, Solr is designed for scalability and fault tolerance. Solr is widely used for enterprise search and analytics use cases and has an active development community and regular releases.
TigerLogic Corporation was an American internet and software development company that designed, developed, sold and supported software infrastructure products. This software was categorized into the following product lines: Yolink search enhancement technology, XML Data Management Server (XDMS), Multidimensional Data Management System (MDMS) and Rapid Application Development (RAD) software tools. TigerLogic was dissolved in 2016, with its MultiValue database products sold to Rocket Software, and its Omnis products sold to UK-based OLS Holdings Ltd.
pureXML is the native XML storage feature in the IBM Db2 data server. pureXML provides query languages, storage technologies, indexing technologies, and other features to support XML data. The word pure in pureXML was chosen to indicate that Db2 natively stores and natively processes XML data in its inherent hierarchical structure, as opposed to treating XML data as plain text or converting it into a relational format.
MarkLogic Server is a document-oriented database developed by MarkLogic. It is a NoSQL multi-model database that evolved from an XML database to natively store JSON documents and RDF triples, the data model for semantics. MarkLogic is designed to be a data hub for operational and analytical data.
XQuery is a query and functional programming language that queries and transforms collections of structured and unstructured data, usually in the form of XML, text and with vendor-specific extensions for other data formats. The language is developed by the XML Query working group of the W3C. The work is closely coordinated with the development of XSLT by the XSL Working Group; the two groups share responsibility for XPath, which is a subset of XQuery.
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XQuery API for Java (XQJ) refers to the common Java API for the W3C XQuery 1.0 specification.
Clusterpoint is a European software technology company founded in 2006 and headquartered in London, United Kingdom. The company develops and supports the Clusterpoint database management system platform.
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LangChain is a software framework that helps facilitate the integration of large language models (LLMs) into applications. As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis.