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DBMS > Atos Standard Common Repository vs. HugeGraph vs. Ignite vs. Riak TS vs. SQL.JS

System Properties Comparison Atos Standard Common Repository vs. HugeGraph vs. Ignite vs. Riak TS vs. SQL.JS

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHugeGraph  Xexclude from comparisonIgnite  Xexclude from comparisonRiak TS  Xexclude from comparisonSQL.JS  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 networksA fast-speed and highly-scalable Graph DBMSApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KVPort of SQLite to JavaScript
Primary database modelDocument store
Key-value store
Graph DBMSKey-value store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­hugegraph
hugegraph.apache.org
ignite.apache.orgsql.js.org
Technical documentationhugegraph.apache.org/­docsapacheignite.readme.io/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestsql.js.org/­documentation/­index.html
DeveloperAtos Convergence CreatorsBaiduApache Software FoundationOpen Source, formerly Basho TechnologiesAlon Zakai infoenhancements implemented by others
Initial release20162018201520152012
Current release17030.9Apache Ignite 2.63.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++, Java, .NetErlangJavaScript
Server operating systemsLinuxLinux
macOS
Unix
Linux
OS X
Solaris
Windows
Linux
OS X
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeSchema and schema-less with LDAP viewsyesyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesnoyes
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.yesnoyesnono
Secondary indexesyesyes infoalso supports composite index and range indexyesrestricted
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLyes, limitedyes infoSQL-92 is not fully supported
APIs and other access methodsLDAPJava API
RESTful HTTP API
TinkerPop Gremlin
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Native Erlang Interface
JavaScript API
Supported programming languagesAll languages with LDAP bindingsGroovy
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
JavaScript
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsyes (compute grid and cache interceptors can be used instead)Erlangno
Triggersyesnoyes (cache interceptors and events)yes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes (replicated cache)selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynoyes infoedges in graphnono infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlLDAP bind authenticationUsers, roles and permissionsSecurity Hooks for custom implementationsnono

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More resources
Atos Standard Common RepositoryHugeGraphIgniteRiak TSSQL.JS
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