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RocksDB, like LevelDB, stores keys and values in arbitrary byte arrays, and data is sorted byte-wise by key or by providing a custom comparator. RocksDB provides all of the features of LevelDB, plus: Transactions [16] Backups [17] and snapshots [18] Column families [19] Bloom filters [20] Time to live (TTL) support [21] Universal compaction [22]
MyRocks is open-source software developed at Facebook in order to use MySQL features with RocksDB implementations. It is based on Oracle MySQL 5.6. Starting from version 10.2.5, MariaDB includes MyRocks as an alpha-stage storage engine. [1] [2] MariaDB 10.3.7 includes MyRocks as a storage engine. [3]
GitHub: GitHub, Inc. (A subsidiary of Microsoft Corporation) 2008-04 No Yes Unknown Denies service to Crimea, North Korea, Sudan, Syria [9] List of government takedown requests. GitLab: GitLab Inc. 2011-09 [10] Partial [11] Yes [12] GitLab FOSS – free software GitLab Enterprise Edition (EE) – proprietary
Maven will automatically download the dependency and the dependencies that Hibernate itself needs (called transitive dependencies) and store them in the user's local repository. Maven 2 Central Repository [2] is used by default to search for libraries, but one can configure the repositories to be used (e.g., company-private repositories) within ...
Ceph (pronounced / ˈ s ɛ f /) is a free and open-source software-defined storage platform that provides object storage, [7] block storage, and file storage built on a common distributed cluster foundation.
Ivy then resolves and downloads resources from an artifact repository: either a private repository or one publicly available on the Internet. To some degree, it competes with Apache Maven, which also manages dependencies. However, Maven is a complete build tool, whereas Ivy focuses purely on managing transitive dependencies.
Apache Hive is a data warehouse software project. It is built on top of Apache Hadoop for providing data query and analysis. [3] [4] Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.
VoltDB v5.0 introduced a database monitoring and management tool, the VoltDB Management Center (VMC for short). VMC provides browser-based one-stop monitoring and configuration management of the VoltDB database, including graphs for cluster throughput and latency as well as CPU and memory usage for the current server.