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DBMS > Amazon Aurora vs. AnzoGraph DB vs. Firebase Realtime Database vs. GridGain vs. Redis

System Properties Comparison Amazon Aurora vs. AnzoGraph DB vs. Firebase Realtime Database vs. GridGain vs. Redis

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGridGain  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.GridGain is an in-memory computing platform, built on Apache IgnitePopular 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 modelRelational DBMSGraph DBMS
RDF store
Document storeKey-value store
Relational DBMS
Key-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsDocument storeDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.46
Rank#45  Overall
#29  Relational DBMS
Score0.16
Rank#297  Overall
#25  Graph DBMS
#13  RDF stores
Score18.92
Rank#39  Overall
#6  Document stores
Score2.06
Rank#125  Overall
#25  Key-value stores
#61  Relational DBMS
Score179.02
Rank#6  Overall
#1  Key-value stores
Websiteaws.amazon.com/­rds/­aurorawww.cambridgesemantics.com/­anzographfirebase.google.com/­products/­realtime-databasewww.gridgain.comredis.com
redis.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmfirebase.google.com/­docs/­databasewww.gridgain.com/­docs/­latestdocs.redis.com/­latest/­index.html
redis.io/­documentation
Social network pagesLinkedInTwitterFacebookYouTubeDiscord
DeveloperAmazonCambridge SemanticsGoogle infoacquired by Google 2014GridGain Systems, Inc.Redis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.
Initial release20152018201220072009
Current release2.3, January 2021GridGain 8.5.17.0.0, April 2022
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialcommercialOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC
Server operating systemshostedLinuxhostedLinux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyesSchema-free and OWL/RDFS-schema supportschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyespartial 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.yesnonoyesno
Secondary indexesyesnoyesyesyes infowith RediSearch module
SQL infoSupport of SQLyesSPARQL and SPARQL* as primary query language. Cypher preview.noANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsADO.NET
JDBC
ODBC
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Android
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
Python
Java
JavaScript
Objective-C
C#
C++
Java
PHP
Python
Ruby
Scala
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 proceduresyesuser defined functions and aggregateslimited functionality with using 'rules'yes (compute grid and cache interceptors can be used instead)Lua; Redis Functions coming in Redis 7 (slides and Github)
TriggersyesnoCallbacks are triggered when data changesyes (cache interceptors and events)publish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingShardingSharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication in MPP-Clusteryes (replicated cache)Multi-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnoyes (compute grid and hadoop accelerator)through RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate 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 integrityyesno infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACIDAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesyes, based on authentication and database rulesSecurity Hooks for custom implementationsAccess Control Lists (ACLs): redis.io/­topics/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­topics/­encryption
Password-based authentication
More information provided by the system vendor
Amazon AuroraAnzoGraph DBFirebase Realtime DatabaseGridGainRedis
Specific characteristicsThe Redis real-time data platform builds upon the unmatched simplicity and speed...
» more
Competitive advantagesRedis Enterprise is a robust in-memory database platform built by the people who...
» more
Typical application scenariosRedis Enterprise is used by large enterprise, startup, and government organizations...
» more
Key customersVerizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more
Market metricsMost launched Docker container per day according to Docker Hub (7.2M launches per...
» more
Licensing and pricing modelsRedis Enterprise Cloud lets users scale up and down instantly, and pay only for the...
» more

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More resources
Amazon AuroraAnzoGraph DBFirebase Realtime DatabaseGridGainRedis
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