DBMS > MongoDB vs. Redis vs. Yaacomo
System Properties Comparison MongoDB vs. Redis vs. Yaacomo
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|Editorial information provided by DB-Engines|
|Name||MongoDB Xexclude from comparison||Redis Xexclude from comparison||Yaacomo Xexclude from comparison|
|Yaacomo seems to be discontinued and is removed from the DB-Engines ranking|
|Description||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure||Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.||OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing|
|Primary database model||Document store||Key-value store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence||Relational DBMS|
|Secondary database models||Spatial DBMS|
Search engine integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS Time Series Collections introduced in Release 5.0
Vector DBMS currently available in the MongoDB Atlas cloud service only
|Document store with RedisJSON|
Graph DBMS with RedisGraph
Search engine with RediSearch
Time Series DBMS with RedisTimeSeries
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|Developer||MongoDB, Inc||Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc.||Q2WEB GmbH|
|Current release||6.0.7, June 2023||7.2.1, September 2023|
|License Commercial or Open Source||Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.||Open Source source-available extensions (modules), commercial licenses for Redis Enterprise||commercial|
|Cloud-based only Only available as a cloud service||no MongoDB available as DBaaS (MongoDB Atlas)||no||no|
|DBaaS offerings (sponsored links) Database 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.|
|Server operating systems||Linux|
Windows ported and maintained by Microsoft Open Technologies, Inc.
|Data scheme||schema-free Although 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-free||yes|
|Typing predefined data types such as float or date||yes string, integer, double, decimal, boolean, date, object_id, geospatial||partial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no|
|Secondary indexes||yes||yes with RediSearch module||yes|
|SQL Support of SQL||Read-only SQL queries via the MongoDB Atlas SQL Interface||no||yes|
|APIs and other access methods||GraphQL|
proprietary protocol using JSON
|proprietary protocol RESP - REdis Serialization Protocol||JDBC|
|Supported programming languages||Actionscript unofficial driver|
Clojure unofficial driver
ColdFusion unofficial driver
D unofficial driver
Dart unofficial driver
Delphi unofficial driver
Groovy unofficial driver
Lisp unofficial driver
Lua unofficial driver
MatLab unofficial driver
PowerShell unofficial driver
Prolog unofficial driver
R unofficial driver
Smalltalk unofficial driver
|Triggers||yes in MongoDB Atlas only||publish/subscribe channels provide some trigger functionality; RedisGears||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.||Sharding Automatic hash-based sharding with support for hash-tags for manual sharding||horizontal partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-Source deployments with MongoDB Atlas Global Clusters|
|Multi-source replication with Redis Enterprise Pack|
Source-replica replication Chained replication is supported
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||through RedisGears||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency can be individually decided for each read operation|
Immediate Consistency default behaviour
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
|Foreign keys Referential integrity||no typically not used, however similar functionality with DBRef possible||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Multi-document ACID Transactions with snapshot isolation||Atomic execution of command blocks and scripts and optimistic locking||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes Data access is serialized by the server||yes|
|Durability Support for making data persistent||yes optional, enabled by default||yes Configurable mechanisms for persistency via snapshots and/or operations logs||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes In-memory storage engine introduced with MongoDB version 3.2||yes||yes|
|User concepts Access control||Access rights for users and roles||Access 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
|fine grained access rights according to SQL-standard|
|More information provided by the system vendor|
|Specific characteristics||MongoDB provides an integrated suite of cloud database and data services to accelerate...|
|The Redis real-time data platform builds upon the unmatched simplicity and speed...|
|Competitive advantages||Built around the flexible document data model and unified API, MongoDB is a developer...|
|Redis Enterprise is a robust in-memory database platform built by the people who...|
|Typical application scenarios||AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...|
|Redis Enterprise is used by large enterprise, startup, and government organizations...|
|Key customers||ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...|
|Verizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...|
|Market metrics||Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...|
|Most launched Docker container per day according to Docker Hub (7.2M launches per...|
|Licensing and pricing models||MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...|
|Redis Enterprise Cloud lets users scale up and down instantly, and pay only for the...|
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Redisson PRO: The ultra-fast Redis Java Client.
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