HyperDex is a next generation key-value and document store with a wide array of features. HyperDex's key features -- namely its rich API, strong consistency, fault tolerance, support for MongoDB API, and ease of use -- provide strong guarantees to applications that are not matched by other NoSQL systems. HyperDex is an open source distributed data store. In the NoSQL data store space, HyperDex distinguishes itself by offering high performance, a rich API, ACID transactions that span multiple objects, and strong consistency and fault-tolerance guarantees.
Features: Distributed Data is distributed across the cluster, without a single point of failure. Flexible Data Model HyperDex can act both as a key-value datastore and a document store, supporting unstructured (schema-free), semi-structured, and structured (schema-based) data. High-Performance Next-generation replication and query protocols enable HyperDex to process operations with minimal overhead. Scalability Read and write throughput both increase linearly as new machines are added, with no downtime or interruption to applications. Fault-tolerant Data is automatically replicated across multiple servers to tolerate a user-specified number of concurrent failures. Failed nodes can be replaced with no downtime. Strong consistency HyperDex guarantees that every GET returns the result of the latest PUT. There are no complicated consistency models to learn or programming quirks, such as conflict resolution, to master. Multikey transactions HyperDex supports ACID transactions that span any number of objects.
RethinkDB is the first open-source, scalable JSON database built from the ground up for the realtime web. It inverts the traditional database architecture by exposing an exciting new access model – instead of polling for changes, the developer can tell RethinkDB to continuously push updated query results to applications in realtime. RethinkDB’s realtime push architecture dramatically reduces the time and effort necessary to build scalable realtime apps.
Open-source database for building realtime web applications
NoSQL database that stores schemaless JSON documents
Distributed database that is easy to scale
High availability database with automatic failover and robust fault tolerance
In addition to being designed from the ground up for realtime apps, RethinkDB offers a flexible query language, intuitive operations and monitoring APIs, and is easy to setup and learn.
The query-response database access model works well on the web because it maps directly to HTTP’s request-response. However, modern applications require sending data directly to the client in realtime. Use cases where companies benefited from RethinkDB’s realtime push architecture include:
Aerospike is a key-value, in-memory, operational NoSQL database with ACID properties which support complex objects and easy to scale. But I have already used something which does absolutely the same.
Aerospike is designed to be the premier high speed, scalable, and reliable NoSQL database. Every line of Aerospike code, every architectural decision focuses on high performance and easy scaling and operations:
Indexes in RAM
Threaded transaction models
Cache-line optimization transaction and data replication
Seamless auto-rebalance scaling
Use of Linux
Storage and failover reliability.
Aerospike’s distributed Shared-Nothing NoSQL database architecture is designed and built to reliably store data with high availability.
MemcacheDB is a distributed key-value storage system designed for persistent. It is NOT a cache solution, but a persistent storage engine for fast and reliable key-value based object storage and retrieval. It conforms to memcache protocol(not completed, see below), so any memcached client can have connectivity with it. MemcacheDB uses Berkeley DB as a storing backend, so lots of features including transaction and replication are supported.
Free & open source, high-performance, distributed memory object caching system, generic in nature, but intended for use in speeding up dynamic web applications by alleviating database load.
Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
Memcached is simple yet powerful. Its simple design promotes quick deployment, ease of development, and solves many problems facing large data caches. Its API is available for most popular languages.
MemcacheDB is compatible with memcache protocol, so any clients that support memcache protocol have connectivity with it.
MemcacheDB Commands supports:
get(also mutiple get)
set, add, replace
A version of MemcacheDB using Lightning Memory-Mapped Database (LMDB) is also available, offering greater performance. MemcacheDB is accessed through the same protocol as memcached, so applications may use any memcached API as a means of accessing a MemcacheDB database.
MemcacheQ is a MemcacheDB variant that provides a simple message queue service.
Scylla is an open-source distributed NoSQL data store. It was designed to be compatible with Apache Cassandra while achieving significantly higher throughputs and lower latencies. It supports the same protocols as Cassandra (CQL and Thrift) and the same file formats (SSTable), but is a completely rewritten implementation, using the C++14 language replacing Cassandra's Java, and the Seastar asynchronous programming library replacing threads, shared memory, mapped files, and other classic Linux programming techniques.
Scylla uses a shared design on each node, meaning that each CPU core handles a different subset of data. Cores do not share data, but rather communicate explicitly when they need to. The Scylla authors claim that this design allows Scylla to achieve much better performance on modern NUMA SMP machines, and to scale very well with the number of cores. They have measured as much as 2 million requests per second on a single machine, and also claim that a Scylla cluster can serve as many requests as a Cassandra cluster 10 times its size - and do so with lower latencies.
FoundationDB is a discontinued multi-model NoSQL database with a shared nothing architecture. ... A notice on the FoundationDB web site indicated that the company has "evolved" its mission and would no longer offer downloads of the software.
Ordered key-value store
Programming language bindings
FoundationDB’s attractiveness came in the speed at which it handled ACID-compliant transactions and coupled that with strong scalability. FoundationDB hosted a booth at TechCrunch Disrupt SF in 2012, where we first wrote about its approach to a modern NoSQL database and its ‘NoSQL, YesACID’ motto. FoundationDB’s latest engine, which was covered by TC Columnist Jon Evans late last year, scaled up 14.4 million random writes per second.