Search results
Results from the WOW.Com Content Network
MongoDB is a source-available, cross-platform, document-oriented database program. Classified as a NoSQL database product, MongoDB utilizes JSON -like documents with optional schemas. MongoDB is developed by MongoDB Inc. and current versions are licensed under the Server Side Public License (SSPL). MongoDB is a member of the MACH Alliance.
It is designed to provide high availability, scalability, and low-latency access to data for modern applications. Unlike traditional relational databases, Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector database, [ 1 ] which means it can handle unstructured, semi-structured, structured, and vector data types. [ 2 ]
NoSQL. NoSQL (originally referring to "non- SQL " or "non-relational") [1] is an approach to database design that focuses on providing a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Instead of the typical tabular structure of a relational database, NoSQL ...
MongoDB isn't a cheap stock, despite the persistent share price drop and this week's strong results. The stock trades at 93 times non-GAAP earnings and 11.7 times sales, which is lofty territory ...
O (n) O (n) In computer science, a B-tree is a self-balancing tree data structure that maintains sorted data and allows searches, sequential access, insertions, and deletions in logarithmic time. The B-tree generalizes the binary search tree, allowing for nodes with more than two children. [ 2 ]
YCSB was contrasted with the TPC-H benchmark from the Transaction Processing Performance Council, with YCSB being called a big data benchmark while TPC-H is a decision support system benchmark. [2] YCSB was used by DBMS vendors for "benchmark marketing". [3] It has been used in scholarly or tutorial discussions, particularly for Apache HBase.
Okapi BM25. In information retrieval, Okapi BM25 (BM is an abbreviation of best matching) is a ranking function used by search engines to estimate the relevance of documents to a given search query. It is based on the probabilistic retrieval framework developed in the 1970s and 1980s by Stephen E. Robertson, Karen Spärck Jones, and others.
Amazon DocumentDB. Amazon DocumentDB is a managed proprietary NoSQL database service that supports document data structures, with some compatibility with MongoDB version 3.6 (released by MongoDB in 2017) and version 4.0 (released by MongoDB in 2018). As a document database, Amazon DocumentDB can store, query, and index JSON data.