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DBMS > DataFS vs. Firebase Realtime Database vs. Neo4j vs. Redis vs. Solr

System Properties Comparison DataFS vs. Firebase Realtime Database vs. Neo4j vs. Redis vs. Solr

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonNeo4j  Xexclude from comparisonRedis  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsPopular 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.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelObject oriented DBMSDocument storeGraph DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceSearch engine
Secondary database modelsGraph DBMSDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score155.94
Rank#6  Overall
#1  Key-value stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitenewdatabase.comfirebase.google.com/­products/­realtime-databaseneo4j.comredis.com
redis.io
solr.apache.org
Technical documentationdev.mobiland.com/­Overview.xspfirebase.google.com/­docs/­databaseneo4j.com/­docsdocs.redis.com/­latest/­index.html
redis.io/­docs
solr.apache.org/­resources.html
DeveloperMobiland AGGoogle infoacquired by Google 2014Neo4j, Inc.Redis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.Apache Software Foundation
Initial release20182012200720092006
Current release1.1.263, October 20225.20, May 20247.2.5, May 20249.6.1, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageJava, ScalaCJava
Server operating systemsWindowshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeschema-free and schema-optionalschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
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 indexesyes infosupports customizable data types and automatic typing
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.nononoyes
Secondary indexesnoyesyes infopluggable indexing subsystem, by default Apache Luceneyes infowith RediSearch moduleyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnononowith RediSQL moduleSolr Parallel SQL Interface
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
Android
iOS
JavaScript API
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
proprietary protocol infoRESP - REdis Serialization ProtocolJava API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
VB.Net
Java
JavaScript
Objective-C
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infoUser defined Procedures and FunctionsLua; Redis Functions coming in Redis 7 (slides and Github)Java plugins
Triggersno, except callback-events from server when changes happenedCallbacks are triggered when data changesyes infovia event handlerpublish/subscribe channels provide some trigger functionality; RedisGearsyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemyes using Neo4j FabricSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononothrough RedisGearsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Eventual Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDAtomic execution of command blocks and scripts and optimistic lockingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlWindows-Profileyes, based on authentication and database rulesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)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
Password-based authentication
yes
More information provided by the system vendor
DataFSFirebase Realtime DatabaseNeo4jRedisSolr
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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