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DBMS > GigaSpaces vs. Hazelcast vs. MongoDB vs. Redis

System Properties Comparison GigaSpaces vs. Hazelcast vs. MongoDB vs. Redis

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonHazelcast  Xexclude from comparisonMongoDB  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA widely adopted in-memory data gridOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructurePopular 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 store
Object oriented DBMS infoValues are user defined objects
Key-value storeDocument storeKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsGraph DBMS
Search engine
Document store infoJSON support with IMDG 3.12Spatial 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
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score6.87
Rank#55  Overall
#6  Key-value stores
Score423.96
Rank#5  Overall
#1  Document stores
Score156.44
Rank#6  Overall
#1  Key-value stores
Websitewww.gigaspaces.comhazelcast.comwww.mongodb.comredis.com
redis.io
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlhazelcast.org/­imdg/­docswww.mongodb.com/­docs/­manualdocs.redis.com/­latest/­index.html
redis.io/­docs
DeveloperGigaspaces TechnologiesHazelcastMongoDB, IncRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.
Initial release2000200820092009
Current release15.5, September 20205.3.6, November 20236.0.7, June 20237.2.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infosource-available extensions (modules), commercial licenses for Redis Enterprise
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)no
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 languageJava, C++, .NetJavaC++C
Server operating systemsLinux
macOS
Solaris
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeschema-freeschema-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-free
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialpartial 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.no infoXML can be used for describing objects metadatayes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes infowith RediSearch module
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like query languageRead-only SQL queries via the MongoDB Atlas SQL Interfacewith RediSQL module
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JCache
JPA
Memcached protocol
RESTful HTTP API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languages.Net
C++
Java
Python
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
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
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 proceduresyesyes infoEvent Listeners, Executor ServicesJavaScriptLua; Redis Functions coming in Redis 7 (slides and Github)
Triggersyes, event driven architectureyes infoEventsyes infoin MongoDB Atlas onlypublish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding 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 infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infoReplicated MapMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Multi-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesyesthrough RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Eventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedMulti-document ACID Transactions with snapshot isolationAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultyes 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.yesyesyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlRole-based access controlRole-based access controlAccess rights for users and rolesAccess 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
GigaSpacesHazelcastMongoDBRedis
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

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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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More resources
GigaSpacesHazelcastMongoDBRedis
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