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  • Relationship database "inaction" nosql raiding cities

       2026-05-13 NetworkingName1190
    Key Point:While not designed to replace the relationship database, the nosql database has faced strong challenges due to the inaction of the traditional relationship database. In recent days, mark logic, the nosql database, announced $102 million in financing, with the current round being led by wellington management, redwood capital and northgate capital, among others. Mark logic is known to have a pre-investment valuation of more than $1 billion, but it

    While not designed to replace the relationship database, the nosql database has faced strong challenges due to the “inaction” of the traditional relationship database. In recent days, mark logic, the nosql database, announced $102 million in financing, with the current round being led by wellington management, redwood capital and northgate capital, among others. Mark logic is known to have a pre-investment valuation of more than $1 billion, but it has not yet disclosed the post-investment valuation. Interestingly, 80 per cent of mark logic's new clients were robbed from oracle。

    Mark logic claims to be the “single enterprise nosql database” and aims directly at the application of the enterprise-level database to the market, which appears to have greater ambitions to challenge oracle's position in the business-level database market. Mark logic was created in silicon valley in 2001 by computer scientist christopher lindblad. That was the time when the structured database sql was on its way, yet lindblad was keenly aware that the business needed not only to store structured data, thereby creating the mark logic database, which would also store structured and unstructured data nosql, to fill the gaps in the database market。

    Mark logic is a document database that is used to store xml-based and document-centric information, supports flexible data formats and models, has the necessary features (acid services, security, etc.) for various enterprise-level applications, and uses hdfs on the ground floor, which can be well integrated with the hadoop ecosystem。

    Mark logic spokesman stated that the company's annual revenues had crossed the $100 million mark and that the projected volume had increased by 50 per cent in 2014, with bbc, citibank, dow jones, the united states federal aviation administration and warner brothers using its database services. Faced with the tremendous success of mark logic, ceo gary bloom stated that the company's uniqueness was to strike a good balance between the integration, management and operational needs of structured and non-structured data。

    Mark logic indicated that the current round of investments would be used to expand european, japanese and asian markets, invest in partners and increase corporate research and development inputs. At the same time, he said that the ipo plan was still within the scope of the company's plan。

    In addition to mark logic, the nosql database, valued at over $1 billion, includes four companies: claudera, mapr technologies, mongodb, datastarx。

    Distinction between mark logic and traditional relationship databases and other nosql databases

    Mark logic ranked 34th in the database prevalence ranking

    The 3 nosql database goes to the top 10 of the popular list

    As can be seen from the most recent list of popular databases in may 2015, the nosql database already holds three seats out of the top 10, namely, mongodb, cassandra and redis, and all three nosql databases are on the rise, contrary to traditional relationship-type databases such as oracle, mysql, and sql server, which show a constant decline. This suggests that nosql is becoming increasingly popular, both in the internet industry and in other traditional industries. The nosql database has attracted a large number of emerging internet companies, including domestic treasure-hunting, xinjiang, kyoto business city, 360, dog searches, etc., with its characteristics of ease of expansion, high performance, high availability, flexible data models, etc。

     
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