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  2. Kibana - Wikipedia

    en.wikipedia.org/wiki/Kibana

    Kibana also provides a presentation tool, referred to as Canvas, that allows users to create slide decks that pull live data directly from Elasticsearch. [ 5 ] The combination of Elasticsearch, Logstash , and Kibana, referred to as the " Elastic Stack " (formerly the "ELK stack"), is available as a product or service. [ 6 ]

  3. Elasticsearch - Wikipedia

    en.wikipedia.org/wiki/Elasticsearch

    Elasticsearch is a search engine based on Apache Lucene, a free and open-source search engine. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Official clients are available in Java, [2].NET [3] , PHP, [4] Python, [5] Ruby [6] and many other languages. [7]

  4. Document-oriented database - Wikipedia

    en.wikipedia.org/wiki/Document-oriented_database

    This key is a simple identifier (or ID), typically a string, a URI, or a path. The key can be used to retrieve the document from the database. Typically the database retains an index on the key to speed up document retrieval, and in some cases the key is required to create or insert the document into the database.

  5. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    A relational database would first find all the users in "311", extract a list of the primary keys, perform another search for any records in the email table with those primary keys, and link the matching records together. For these types of common operations, graph databases would theoretically be faster. [20]

  6. Apache Solr - Wikipedia

    en.wikipedia.org/wiki/Apache_Solr

    Solr (pronounced "solar") 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 [2] and rich document (e.g., Word, PDF) handling.

  7. Amazon DynamoDB - Wikipedia

    en.wikipedia.org/wiki/Amazon_DynamoDB

    When a Primary Key is made up of two attributes, the first one is called a "Partition Key" and the second is called a "Sort Key". As before, the Partition Key decides the physical Location of Data, but the Sort Key then decides the relative logical position of associated item's record inside that physical location.

  8. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    Another key difference is the addressing of values. JSON has objects with a simple "key" to "value" mapping, whereas in XML addressing happens on "nodes", which all receive a unique ID via the XML processor. Additionally, the XML standard defines a common attribute xml:id, that can be used by the user, to set an ID explicitly.

  9. SQL - Wikipedia

    en.wikipedia.org/wiki/SQL

    SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...