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DBMS > LokiJS vs. MongoDB vs. PouchDB vs. Redis vs. Tarantool

System Properties Comparison LokiJS vs. MongoDB vs. PouchDB vs. Redis vs. Tarantool

Editorial information provided by DB-Engines
NameLokiJS  Xexclude from comparisonMongoDB  Xexclude from comparisonPouchDB  Xexclude from comparisonRedis  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionIn-memory JavaScript DBMSOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureJavaScript DBMS with an API inspired by CouchDBPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.In-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelDocument storeDocument storeDocument storeKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
Document store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.43
Rank#264  Overall
#42  Document stores
Score421.65
Rank#5  Overall
#1  Document stores
Score2.28
Rank#115  Overall
#21  Document stores
Score157.80
Rank#6  Overall
#1  Key-value stores
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Websitegithub.com/­techfort/­LokiJSwww.mongodb.compouchdb.comredis.com
redis.io
www.tarantool.io
Technical documentationtechfort.github.io/­LokiJSwww.mongodb.com/­docs/­manualpouchdb.com/­guidesdocs.redis.com/­latest/­index.html
redis.io/­docs
www.tarantool.io/­en/­doc
DeveloperMongoDB, IncApache Software FoundationRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.VK
Initial release20142009201220092008
Current release6.0.7, June 20237.1.1, June 20197.2.4, January 20242.10.0, May 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open SourceOpen Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)nonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageJavaScriptC++JavaScriptCC and C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
BSD
Linux
macOS
Data schemeschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.schema-freeschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or datenoyes infostring, integer, double, decimal, boolean, date, object_id, geospatialnopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesstring, double, decimal, uuid, integer, blob, boolean, datetime
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyes infovia viewsyesyes infovia viewsyes infowith RediSearch moduleyes
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Atlas SQL Interfacenowith RediSQL moduleFull-featured ANSI SQL support
APIs and other access methodsJavaScript APIGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
HTTP REST infoonly for PouchDB Server
JavaScript API
proprietary protocol infoRESP - REdis Serialization ProtocolOpen binary protocol
Supported programming languagesJavaScriptActionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
JavaScriptC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresView functions in JavaScriptJavaScriptView functions in JavaScriptLua; Redis Functions coming in Redis 7 (slides and Github)Lua, C and SQL stored procedures
Triggersyesyes infoin MongoDB Atlas onlyyespublish/subscribe channels provide some trigger functionality; RedisGearsyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding infowith a proxy-based framework, named couchdb-loungeSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
Asynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesthrough RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Eventual ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single collection possibleMulti-document ACID Transactions with snapshot isolationnoAtomic execution of command blocks and scripts and optimistic lockingACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the serveryes, cooperative multitasking
Durability infoSupport for making data persistentyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infooptional, enabled by defaultyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2yesyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlnoAccess rights for users and rolesnoAccess Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication
Access Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
More information provided by the system vendor
LokiJSMongoDBPouchDBRedisTarantool
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesStudio 3T: The world's favorite IDE for working with MongoDB
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Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Navicat for Redis: the award-winning Redis management tool with an intuitive and powerful graphical interface.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
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Redisson PRO: The ultra-fast Redis Java Client.
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More resources
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