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Apache Ignite is an in-memory computing platform that is durable, strongly consistent, and highly available with powerful SQL, key-value and processing APIs. With full SQL support, one of the main use cases for Apache Ignite is the in-memory database which scales horizontally and provides ACID transactions. ArangoDB: ArangoDB GmbH 2011
Lightning Memory-Mapped Database (LMDB) is an embedded transactional database in the form of a key-value store. LMDB is written in C with API bindings for several programming languages . LMDB stores arbitrary key/data pairs as byte arrays, has a range-based search capability, supports multiple data items for a single key and has a special mode ...
A new feature introduced in IQ 16 is the Role Based Access Control (RBAC) which enables for a separation of duties and upholds the principle of least privilege, by allowing the breakdown of privileged operations into fine-grained sets that can be individually granted to users. Included as part of the base product are: users, groups and ...
The HSQLDB engine loads them only partially and synchronizes the data to the disk on transaction commits. However, the engine always loads all rows affected during an update into the memory. This renders very large updates impossible without splitting the work into smaller parts. [7] Other table types allow access to comma-separated values (CSV ...
Sybase's Advantage Database Server (ADS) is an embedded database management system. It provides both Indexed Sequential Access Method (ISAM) and relational data access and is compatible with multiple platforms including Windows, Linux, and Netware. It is available as a royalty-free local file-server database or a full client-server version.
Database scalability is the ability of a database to handle changing demands by adding/removing resources. Databases use a host of techniques to cope. [ 1 ] According to Marc Brooker: "a system is scalable in the range where marginal cost of additional workload is nearly constant."
Incremental scalability: Dynamo should be able to scale out one storage host (or “node”) at a time, with minimal impact on both operators of the system and the system itself. Symmetry: Every node in Dynamo should have the same set of responsibilities as its peers; there should be no distinguished node or nodes that take special roles or ...
The key improvement in ISAM is that the indexes are small and can be searched quickly, possibly entirely in memory, thereby allowing the database to access only the records it needs. Additional modifications to the data do not require changes to other data, only the table and indexes in question.