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DBMS > HugeGraph vs. Realm vs. Redis

System Properties Comparison HugeGraph vs. Realm vs. Redis

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonRealm  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataPopular 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 modelGraph DBMSDocument storeKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsDocument 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
Score0.09
Rank#353  Overall
#33  Graph DBMS
Score7.96
Rank#55  Overall
#9  Document stores
Score160.71
Rank#6  Overall
#1  Key-value stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
realm.ioredis.com
redis.io
Technical documentationhugegraph.apache.org/­docsrealm.io/­docsdocs.redis.com/­latest/­index.html
redis.io/­docs
DeveloperBaiduRealm, acquired by MongoDB in May 2019Redis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.
Initial release201820142009
Current release0.97.2.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageJavaC
Server operating systemsLinux
macOS
Unix
Android
Backend: server-less
iOS
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyespartial 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.nonono
Secondary indexesyes infoalso supports composite index and range indexyesyes infowith RediSearch module
SQL infoSupport of SQLnonowith RediSQL module
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesGroovy
Java
Python
.Net
Java infowith Android only
Objective-C
React Native
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 proceduresasynchronous Gremlin script jobsno inforuns within the applications so server-side scripts are unnecessaryLua; Redis Functions coming in Redis 7 (slides and Github)
Triggersnoyes infoChange Listenerspublish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknothrough RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual 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 infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes 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.yesyes infoIn-Memory realmyes
User concepts infoAccess controlUsers, roles and permissionsyesAccess 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

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3rd partiesRedisson PRO: The ultra-fast Redis Java Client.
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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
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