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disque - Disque is a distributed message broker
Disque is an ongoing experiment to build a distributed, in-memory, message broker. Its goal is to capture the essence of the "Redis as a jobs queue" use case, which is usually implemented using blocking list operations, and move it into an ad-hoc, self-contained, scalable, and fault tolerant design, with simple to understand properties and guarantees, but still resembling Redis in terms of simplicity, performance, and implementation as a C non-blocking networked server.Currently (2 Jan 2016) the project is in release candidate state. People are encouraged to start evaluating it and report bugs and experiences.
message-queue in-memory distributed message-broker queueTarantool - Get your data in RAM. Get compute close to data. Enjoy the performance
Tarantool is an in-memory database and application server. It is 100% compatible drop-in replacement for Lua 5.1, based on LuaJIT 2.1. It has full support for Lua modules and a rich set of own modules, including cooperative multitasking, non-blocking I/O, access to external databases, etc.
database transactions in-memory disk msgpack application-serverApache Ignite - High performance in-memory data grid
Apache Ignite In-Memory Data Fabric is a high-performance, integrated and distributed in-memory platform for computing and transacting on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies.
cache distributed-caching in-memory database-cache jcache key-value-store session-cacheBuntDB - Embeddable, in-memory key/value database for Go with custom indexing and geospatial support
BuntDB is a low-level, in-memory, key/value store in pure Go. It persists to disk, is ACID compliant, and uses locking for multiple readers and a single writer. It supports custom indexes and geospatial data. It's ideal for projects that need a dependable database and favor speed over data size.The desire to create BuntDB stems from the need for a new embeddable database for Tile38 and SummitDB.
database in-memory key-value geospatial key-value-storeSummitDB - In-memory NoSQL database with ACID transactions, Raft consensus, and Redis API
SummitDB is an in-memory, NoSQL key/value database. It persists to disk, uses the Raft consensus algorithm, is ACID compliant, and built on a transactional and strongly-consistent model. It supports custom indexes, geospatial data, JSON documents, and user-defined JS scripting.Under the hood it utilizes Finn, Redcon, BuntDB, GJSON, and Otto.
raft json nosql database in-memory geospatialH2 Database - Java based Database Engine
H2 database is very fast, open source database engine. It supports SQL and JDBC standards. It can run in Embedded and Server mode and it has clustering support.
database cluster relational full-text-search embedded-database in-memoryApache Derby - Relational Database implemented in Java
Apache Derby is an open source relational database implemented entirely in Java. It has a small footprint that makes it easy to embed in any Java-based application, but it also supports the more familiar client/server mode. It is based on the Java, JDBC, and SQL standards, making code developed more portable to standards-compliant databases.
database embedded-database in-memory relational-databaseHazelcast - In-Memory Data Grid for Java
Hazelcast is a clustering and highly scalable data distribution platform for Java. It supports Distributed implementations of java.util.{Queue, Set, List, Map}, java.util.concurrency.locks.Lock, java.util.concurrent.ExecutorService, Distributed Indexing and Query support, Dynamic scaling, partitioning with backups, fail-over, Web-based cluster monitoring tool and lot more.
cache cluster datagrid distributed-cache in-memory java-collection map java-utilityrediSQL - Redis module that provides a completely functional SQL database
RediSQL is a module for Redis that embed a completely functional SQLite database. RediSQL enables new paradigm where is possible to have several smaller decentralized databases instead of a single giant one.
redisql sql sqlite3 redis in-memoryHazelcast Jet - A general purpose distributed data processing engine, built on top of Hazelcast.
Hazelcast Jet is a distributed computing platform built for high-performance stream processing and fast batch processing. It embeds Hazelcast In-Memory Data Grid (IMDG) to provide a lightweight, simple-to-deploy package that includes scalable in-memory storage. Hazelcast Jet performs parallel execution to enable data-intensive applications to operate in near real-time.
in-memory data-grid big-data stream-processing data-processing real-time streams batch-processingAtlas - In-memory dimensional time series database
Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly. Atlas captures operational intelligence. Whereas business intelligence is data gathered for analyzing trends over time, operational intelligence provides a picture of what is currently happening within a system.
time-series-database database time-series metrics in-memoryMapDB - Embedded Database Engine
MapDB is an embedded database engine. It provides Maps and other collections backed by disk or memory storage. It offers excellent performance comparable to java collections, but is not limited by GC overhead. It is also a full database engine with storage backends, transactions, cache algorithms, expiration and many other options. MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap memory.
embedded-database database java-collections off-heap cache in-memory key-value-storeApache Geode - Distributed, In-memory Database for Scale-Out Applications
Apache Geode is distributed, in-memory database for scale-out applications. All data is stored in-memory for low latency. Performance scales linearly as nodes are added. Data is distributed automatically between nodes to optimize performance. Clusters fail-over to other nodes in case of failures, and rebalance remaining resources. Geode servers can be configured to talk memcached protocol.
cache key-value-database key-value-store persistence in-memory distributed clusterSTINGER - In-memory graph store and dynamic graph analysis platform
STINGER is a package designed to support streaming graph analytics by using in-memory parallel computation to accelerate the computation. STINGER is composed of the core data structure and the STINGER server, algorithms, and an RPC server that can be used to run queries and serve visualizations.
graph-database graph-analysis graph-analytics nosql in-memoryHazelcast Jet - Distributed data processing engine, built on top of Hazelcast
Hazelcast Jet is a distributed computing platform built for high-performance stream processing and fast batch processing. It embeds Hazelcast In Memory Data Grid (IMDG) to provide a lightweight package of a processor and a scalable in-memory storage. It supports distributed java.util.stream API support for Hazelcast data structures such as IMap and IList, Distributed implementations of java.util.{Queue, Set, List, Map} data structures highly optimized to be used for the processing
data-grid data-processing data-streaming in-memory batch-processing stream-processingApache Arrow - Powering Columnar In-Memory Analytics
Apache arrow is an open source, low latency SQL query engine for Hadoop and NoSQL. Arrow enables execution engines to take advantage of the latest SIMD (Single input multiple data) operations included in modern processors, for native vectorized optimization of analytical data processing. Columnar layout of data also allows for a better use of CPU caches by placing all data relevant to a column operation in as compact of a format as possible.
in-memory analytics query-engine nosql no-sqlPincaster - NoSQL Database with a HTTP/JSON interface
Pincaster is an in-memory, persistent data store for geographic data and key/dictionary pairs, with replication and a HTTP/JSON interface.
database geographic-database in-memoryGraphlite - Embedded graph databases for Python
Graphlite is an embedded graph databases for Python. Graphlite aims to change that by building a simple and fast graph layer over SQLite. Similar to FlockDB, Graphlite only stores adjacency lists, but they can be queried in the style of normal graph databases, e.g. with traversals.
graph-database nosql in-memory graph-store embeddedGriddb - High performance, High scalability and High reliability database for big data
GridDB is an In-Memory NoSQL Database for highly scalable IoT applications . It has a KVS (Key-Value Store)-type data model that is suitable for sensor data stored in a timeseries. It is a database that can be easily scaled-out according to the number of sensors. High Reliability It is equipped with a structure to spread out the replication of key value data among fellow nodes so that in the event of a node failure, automatic failover can be carried out in a matter of seconds by using the replication function of other nodes.
nosql key-value-store in-memory timeseries timeseries-database iotjimfs - An in-memory file system for Java 7+
Jimfs is an in-memory implementation of Java 7's java.nio.file abstract file system API. imfs supports almost all the APIs under java.nio.file. Jimfs also supports creating file systems that, for example, use Windows-style paths and (to an extent) behavior. In general, however, file system behavior is modeled after UNIX and may not exactly match any particular real file system or platform.
filesystem file-system in-memory
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