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DBMS > etcd vs. Microsoft Azure Table Storage vs. Neo4j vs. Realm

System Properties Comparison etcd vs. Microsoft Azure Table Storage vs. Neo4j vs. Realm

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNeo4j  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionA distributed reliable key-value storeA Wide Column Store for rapid development using massive semi-structured datasetsScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelKey-value storeWide column storeGraph DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.64
Rank#54  Overall
#5  Key-value stores
Score4.92
Rank#73  Overall
#6  Wide column stores
Score44.47
Rank#23  Overall
#1  Graph DBMS
Score7.71
Rank#52  Overall
#9  Document stores
Websiteetcd.io
github.com/­etcd-io/­etcd
azure.microsoft.com/­en-us/­services/­storage/­tablesneo4j.comrealm.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
neo4j.com/­docsrealm.io/­docs
DeveloperMicrosoftNeo4j, Inc.Realm, acquired by MongoDB in May 2019
Initial release201220072014
Current release3.4, August 20195.19, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL version3, commercial licenses availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
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.
Implementation languageGoJava, Scala
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnonoyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnononono
APIs and other access methodsgRPC
JSON over HTTP
RESTful HTTP APIBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnonoyes infoUser defined Procedures and Functionsno inforuns within the applications so server-side scripts are unnecessary
Triggersyes, watching key changesnoyes infovia event handleryes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes using Neo4j Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoIn-Memory realm
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yes
More information provided by the system vendor
etcdMicrosoft Azure Table StorageNeo4jRealm
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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