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  2. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    ArangoDB is a transactional native multi-model database supporting two major NoSQL data models (graph and document [1]) with one query language. Written in C++ and optimized for in-memory computing. In addition ArangoDB integrated RocksDB for persistent storage. ArangoDB supports Java, JavaScript, Python, PHP, NodeJS, C++ and Elixir.

  3. Database transaction - Wikipedia

    en.wikipedia.org/wiki/Database_transaction

    A database transaction symbolizes a unit of work, performed within a database management system (or similar system) against a database, that is treated in a coherent and reliable way independent of other transactions. A transaction generally represents any change in a database. Transactions in a database environment have two main purposes:

  4. Hybrid transactional/analytical processing - Wikipedia

    en.wikipedia.org/wiki/Hybrid_transactional/...

    These interpretations suggest different advantages, one being a database functionality. Recent advances in research, hardware, OLTP and OLAP capabilities, in-memory and cloud native database technologies, [8] scalable transactional management and products enable transactional processing and analytics, or HTAP, to operate on the same database ...

  5. SingleStore - Wikipedia

    en.wikipedia.org/wiki/SingleStore

    SingleStore (formerly MemSQL) is a distributed, relational, SQL database management system [2] (RDBMS) that features ANSI SQL support, it is known for speed in data ingest, transaction processing, and query processing. [3] [4] SingleStore stores relational data, JSON data, geospatial data, key-value vector data, and time series data.

  6. PostgreSQL - Wikipedia

    en.wikipedia.org/wiki/PostgreSQL

    PostgreSQL includes built-in synchronous replication [37] that ensures that, for each write transaction, the master waits until at least one replica node has written the data to its transaction log. Unlike other database systems, the durability of a transaction (whether it is asynchronous or synchronous) can be specified per-database, per-user ...

  7. Comparison of database administration tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_database...

    Some - can only reverse engineer the entire database at once and drops any user modifications to the diagram (can't "refresh" the diagram to match the database) Forward engineering - the ability to update the database schema with changes made to its entities and relationships via the ER diagram visual designer Yes - can update user-selected ...

  8. Spanner (database) - Wikipedia

    en.wikipedia.org/wiki/Spanner_(database)

    TrueTime is the brand name for Google's distributed cloud infrastructure, which provides Spanner with the ability to generate monotonically increasing timestamps in data centers around the world. [7] Google's F1 SQL database management system (DBMS) is built on top of Spanner, [2] replacing Google's custom MySQL variant. [8]

  9. In-database processing - Wikipedia

    en.wikipedia.org/wiki/In-database_processing

    In-database processing, sometimes referred to as in-database analytics, refers to the integration of data analytics into data warehousing functionality. Today, many large databases, such as those used for credit card fraud detection and investment bank risk management, use this technology because it provides significant performance improvements over traditional methods.

  1. Related searches best database for transactional data analysis in dbms tutorial step by step

    database transactions explainedwikipedia database transaction