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DBMS > Google Cloud Datastore vs. MongoDB vs. Raima Database Manager vs. Redis

System Properties Comparison Google Cloud Datastore vs. MongoDB vs. Raima Database Manager vs. Redis

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMongoDB  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureRDBMS with a small footprint, either embedded into an application or used as a database serverPopular 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.
Primary database modelDocument storeDocument storeRelational DBMS
Time Series DBMS
Key-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.49
Rank#79  Overall
#12  Document stores
Score423.96
Rank#5  Overall
#1  Document stores
Score0.48
Rank#261  Overall
#122  Relational DBMS
#22  Time Series DBMS
Score156.44
Rank#6  Overall
#1  Key-value stores
Websitecloud.google.com/­datastorewww.mongodb.comraima.comredis.com
redis.io
Technical documentationcloud.google.com/­datastore/­docswww.mongodb.com/­docs/­manualdocs.raima.comdocs.redis.com/­latest/­index.html
redis.io/­docs
DeveloperGoogleMongoDB, IncRaima Inc.Redis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.
Initial release2008200919842009
Current release6.0.7, June 202315, June 20217.2.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercialOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprise
Cloud-based only infoOnly available as a cloud serviceyesno infoMongoDB available as DBaaS (MongoDB Atlas)nono
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 languageC++CC
Server operating systemshostedLinux
OS X
Solaris
Windows
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
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.yesschema-free
Typing infopredefined data types such as float or dateyes, details hereyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.nono infoExporting/Importing of XML structures possibleno
Secondary indexesyesyesyesyes infowith RediSearch module
SQL infoSupport of SQLSQL-like query language (GQL)Read-only SQL queries via the MongoDB Atlas SQL Interfaceyeswith RediSQL module
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
ADO.NET
JDBC
ODBC
RESTful HTTP API
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript 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
.Net
C
C++
Objective-C
PL/SQL
C
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
Server-side scripts infoStored proceduresusing Google App EngineJavaScriptyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationLua; Redis Functions coming in Redis 7 (slides and Github)
TriggersCallbacks using the Google Apps Engineyes infoin MongoDB Atlas onlyyespublish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.horizontal partitioningSharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Source-replica replicationMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnothrough RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsno infotypically not used, however similar functionality with DBRef possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsMulti-document ACID Transactions with snapshot isolationACIDAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-memory storage engine introduced with MongoDB version 3.2yesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access 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
More information provided by the system vendor
Google Cloud DatastoreMongoDBRaima Database Manager infoformerly named db_VistaRedis
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
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Raima Database Manager (RDM) is an embedded time-series database optimized to run...
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Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
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Decreased time-to-market Industry-standard interfaces & tools for making your job...
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Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
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Typical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
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Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
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Infor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
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Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
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Over 30 000 applications developers worldwide have field-tested RDM products More...
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Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Just as the technical aspects of Raima Database Manager are flexible, so are the...
» more
News

Raima Unveils RaimaDB 16.0: Elevating Database Performance and User Experience
29 February 2024

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Raima Joins BlackBerry QNX Channel Partner Program to Deliver Safety-Critical and Secure Software Solutions
1 October 2020

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19 May 2020

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.

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