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DBMS > Atos Standard Common Repository vs. Ignite vs. Stardog vs. SurrealDB

System Properties Comparison Atos Standard Common Repository vs. Ignite vs. Stardog vs. SurrealDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonIgnite  Xexclude from comparisonStardog  Xexclude from comparisonSurrealDB  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 networksApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument store
Key-value store
Key-value store
Relational DBMS
Graph DBMS
RDF store
Document store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryignite.apache.orgwww.stardog.comsurrealdb.com
Technical documentationapacheignite.readme.io/­docsdocs.stardog.comsurrealdb.com/­docs
DeveloperAtos Convergence CreatorsApache Software FoundationStardog-UnionSurrealDB Ltd
Initial release2016201520102022
Current release1703Apache Ignite 2.67.3.0, May 2020v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source
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.
Implementation languageJavaC++, Java, .NetJavaRust
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-free and OWL/RDFS-schema supportschema-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.yesyesno infoImport/export of XML data possible
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query language
APIs and other access methodsLDAPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesAll languages with LDAP bindingsC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)user defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyes (cache interceptors and events)yes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Multi-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesyes
User concepts infoAccess controlLDAP bind authenticationSecurity Hooks for custom implementationsAccess rights for users and rolesyes, based on authentication and database rules

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More resources
Atos Standard Common RepositoryIgniteStardogSurrealDB
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