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DBMS > Atos Standard Common Repository vs. Neo4j vs. Sphinx vs. XTDB

System Properties Comparison Atos Standard Common Repository vs. Neo4j vs. Sphinx vs. XTDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonNeo4j  Xexclude from comparisonSphinx  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsOpen source search engine for searching in data from different sources, e.g. relational databasesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Key-value store
Graph DBMSSearch engineDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.11
Rank#343  Overall
#46  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryneo4j.comsphinxsearch.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationneo4j.com/­docssphinxsearch.com/­docswww.xtdb.com/­docs
DeveloperAtos Convergence CreatorsNeo4j, Inc.Sphinx Technologies Inc.Juxt Ltd.
Initial release2016200720012019
Current release17035.20, May 20243.5.1, February 20231.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
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 languageJavaJava, ScalaC++Clojure
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeSchema and schema-less with LDAP viewsschema-free and schema-optionalyesschema-free
Typing infopredefined data types such as float or dateoptionalyesnoyes, extensible-data-notation format
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.yesno
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)limited SQL, making use of Apache Calcite
APIs and other access methodsLDAPBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Proprietary protocolHTTP REST
JDBC
Supported programming languagesAll languages with LDAP bindings.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Clojure
Java
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsnono
Triggersyesyes infovia event handlernono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyes using Neo4j FabricSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlLDAP bind authenticationUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)no
More information provided by the system vendor
Atos Standard Common RepositoryNeo4jSphinxXTDB infoformerly named Crux
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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