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DBMS > Atos Standard Common Repository vs. Interbase vs. Neo4j vs. Sqrrl

System Properties Comparison Atos Standard Common Repository vs. Interbase vs. Neo4j vs. Sqrrl

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonInterbase  Xexclude from comparisonNeo4j  Xexclude from comparisonSqrrl  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksLight-weight proven RDBMS infooriginally from BorlandScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument store
Key-value store
Relational DBMSGraph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.04
Rank#71  Overall
#39  Relational DBMS
Score44.47
Rank#23  Overall
#1  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.embarcadero.com/­products/­interbaseneo4j.comsqrrl.com
Technical documentationdocs.embarcadero.com/­products/­interbaseneo4j.com/­docs
DeveloperAtos Convergence CreatorsEmbarcaderoNeo4j, Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release2016198420072012
Current release1703InterBase 2020, December 20195.19, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version3, commercial licenses availablecommercial
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 languageJavaCJava, ScalaJava
Server operating systemsLinuxAndroid
iOS
Linux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyes
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 infoexport as XML data possible
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnoyesnono
APIs and other access methodsLDAPADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languageyes infoUser defined Procedures and Functionsno
Triggersyesyesyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneyes using Neo4j FabricSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesInterbase Change ViewsCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
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.yesyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
Atos Standard Common RepositoryInterbaseNeo4jSqrrl
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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