OrientDB has the flexibility of the Document databases and the power of the Graph databases to manage relationships. It can work in schema-less mode, schema-full or a mix of both. It can store up to 150,000 records per second on common hardware. OrientDB has been designed to be very fast. It inherits the best features and concepts from the Object Databases, Graph DBMS and the modern NoSQL engines.
database graph-database nosql document-store key-value-store embedded-db document-orientedMongoDB (from "humongous") is a scalable, high-performance, open source, dynamic-schema, document-oriented database. MongoDB bridges the gap between key-value stores (which are fast and highly scalable) and traditional RDBMS systems.
database document-store non-relational document-oriented nosql distributed-database full-text-searchJSONlite sandboxes the current working directory similar to SQLite. The JSONlite data directory is named jsonlite.data by default, and each json document is validated and saved pretty printed as a uuid. json_reformat is the fastest of the three. jq comes in at a close second and python -m json.tool is significantly the slowest. If possible, avoid using python -m json.tool.
bash jsonlite database json-document json document-store json-data document-database databases bash-scriptLokiJS is a document oriented database, Its purpose is to store javascript objects as documents in a nosql fashion and retrieve them with a similar mechanism. It runs in node (including cordova/phonegap and node-webkit) and the browser. It is ideal for client-side in-memory db is ideal (e.g., a session store), data sets loaded into a browser page and synchronised at the end of the work session etc.
database document-store javascript-database nosqlRaven is an document database for the .NET/Windows platform. Raven offers a flexible data model design to fit the needs of real world systems. Raven stores schema-less JSON documents, allow you to define indexes using Linq queries and focus on low latency and high performance.
database document-store document-database non-relational nosql linqRethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn. It supports JSON data model, Distributed joins, subqueries, aggregation, atomic updates, Hadoop-style map/reduce.
document-store document-database nosql-database json-store json-database distributed nosqlAerospike is a distributed, scalable NoSQL database. It provides support to create a high-performance, scalable platform that would meet the needs of today's web-scale applications. It supports operational efficiency, robustness and reliability expected from traditional databases.
database nosql document-store key-value-store key-valueUnQLite is a in-process software library which implements a self-contained, serverless, zero-configuration, transactional NoSQL database engine. UnQLite is a document store database similar to MongoDB, Redis, CouchDB etc. as well a standard Key/Value store similar to BerkeleyDB, LevelDB, etc.
database embedded-database json-database document-store key-value-store json mobile-database transactionalPouchDB is an open-source JavaScript database inspired by Apache CouchDB that is designed to run well within the browser. PouchDB was created to help web developers build applications that work as well offline as they do online. It enables applications to store data locally while offline, then synchronize it with CouchDB and compatible servers when the application is back online, keeping the user's data in sync no matter where they next login.
database document-store javascript-database nosqlWhiteDB is a lightweight NoSQL database library written in C, operating fully in main memory. There is no server process. Data is read and written directly from/to shared memory, no sockets are used between WhiteDB and the application program. It supports indexes (T-tree), concurrency through locking, persistence through logging and memory dumps, json, CSV and RDF support, easy to use in embedded systems and lot more.
database document-store embedded-database memory-database nosqlNoSql, JSON based, Document store database with compiled .net map functions and automatic hybrid bitmap indexing and LINQ query filters
database document-store nosql key-value-storeSensei is a distributed data system that was built to support many product initiatives at LinkedIn, including the real-time faceted search in LinkedIn Signal and the news feed and tabs on the Homepage. Sensei is both a search engine and a database. It is designed to query and navigate through documents that consist of unstructured text and well-formed and structured metadata. Sensei is both a search engine and a database.
document-store search-engine searchengine full-text-search distributed linkedin database nosqlBagri is a Document Database built on top of distributed cache solution like Hazelcast or Coherence. The system allows to process semi-structured schema-less documents and perform distributed queries on them in real-time. It scales horizontally very well with use of data sharding, when all documents are distributed evenly between distributed cache partitions.
database xml-database document-store document-database nosql xqueryBlobStash is both a content-addressed blob store and a key value store accessible via an HTTP API.Key value pairs are stored as "meta" blobs, this mean you can build application on top of BlobStash without the need for another database.
blob-store backup content-addressed document-store blobstash deduplication storageThe time travellers have hacked into the spy's communication systems, but only have a browser to work with. The schema is a mess and they must make sense of it and find out what the spies know in order to escape their wrath. We start our story shortly after they have discovered the large dataset.
database document-store
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