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  2. Optimistic concurrency control - Wikipedia

    en.wikipedia.org/wiki/Optimistic_concurrency_control

    Modify: Read database values, and tentatively write changes. Validate: Check whether other transactions have modified data that this transaction has used (read or written). This includes transactions that completed after this transaction's start time, and optionally, transactions that are still active at validation time.

  3. Firebase - Wikipedia

    en.wikipedia.org/wiki/Firebase

    Firebase's first product was the Firebase Realtime Database, an API that synchronizes application data across iOS, Android, and Web devices, and stores it on Firebase's cloud. The product assists software developers in building real-time, collaborative applications.

  4. Timestamp-based concurrency control - Wikipedia

    en.wikipedia.org/wiki/Timestamp-based...

    Each object in the database is given two timestamp fields which are not used other than for concurrency control: R T ( O j ) {\displaystyle RT(O_{j})} is the timestamp of the last transaction that read the value of the object ( T S ( T r ) {\displaystyle TS(T_{r})} , where T r {\displaystyle T_{r}} is the last transaction that read the value of ...

  5. Snapshot isolation - Wikipedia

    en.wikipedia.org/wiki/Snapshot_isolation

    In databases, and transaction processing (transaction management), snapshot isolation is a guarantee that all reads made in a transaction will see a consistent snapshot of the database (in practice it reads the last committed values that existed at the time it started), and the transaction itself will successfully commit only if no updates it has made conflict with any concurrent updates made ...

  6. Database transaction - Wikipedia

    en.wikipedia.org/wiki/Database_transaction

    A database transaction, by definition, must be atomic (it must either be complete in its entirety or have no effect whatsoever), consistent (it must conform to existing constraints in the database), isolated (it must not affect other transactions) and durable (it must get written to persistent storage). [1] Database practitioners often refer to ...

  7. Comparison of relational database management systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_relational...

    Note (12): The 0.5 YB limit refers to the storage limit of a single Informix server instance beginning with v15.0. Informix v12.10 and later versions support using sharding techniques to distribute a table across multiple server instances. A distributed Informix database has no upper limit on table or database size.

  8. Firebase Cloud Messaging - Wikipedia

    en.wikipedia.org/wiki/Firebase_Cloud_Messaging

    Firebase Cloud Messaging (FCM) is part of the Firebase platform, which is a cloud service model that automates backend development or a Backend-as-a-service (BaaS). After the Firebase company was acquired by Google in 2014, some Firebase platform products or technologies were integrated with Google’s existing services.

  9. Durability (database systems) - Wikipedia

    en.wikipedia.org/wiki/Durability_(database_systems)

    Existing database systems use volatile storage (i.e. the main memory of the system) for different purposes: some store their whole state and data in it, even without any durability guarantee; others keep the state and the data, or part of them, in memory, but also use the non-volatile storage for data; other systems only keep the state in main ...

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