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DBMS > Atos Standard Common Repository vs. GigaSpaces vs. HugeGraph vs. Prometheus vs. TimescaleDB

System Properties Comparison Atos Standard Common Repository vs. GigaSpaces vs. HugeGraph vs. Prometheus vs. TimescaleDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHugeGraph  Xexclude from comparisonPrometheus  Xexclude from comparisonTimescaleDB  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 networksHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA fast-speed and highly-scalable Graph DBMSOpen-source Time Series DBMS and monitoring systemA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Key-value store
Document store
Object oriented DBMS infoValues are user defined objects
Graph DBMSTime Series DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gigaspaces.comgithub.com/­hugegraph
hugegraph.apache.org
prometheus.iowww.timescale.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlhugegraph.apache.org/­docsprometheus.io/­docsdocs.timescale.com
DeveloperAtos Convergence CreatorsGigaspaces TechnologiesBaiduTimescale
Initial release20162000201820152017
Current release170315.5, September 20200.92.13.0, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache 2.0
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 languageJavaJava, C++, .NetJavaGoC
Server operating systemsLinuxLinux
macOS
Solaris
Windows
Linux
macOS
Unix
Linux
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesNumeric data onlynumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 infoXML can be used for describing objects metadatanono infoImport of XML data possibleyes
Secondary indexesyesyesyes infoalso supports composite index and range indexnoyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsLDAPGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages with LDAP bindings.Net
C++
Java
Python
Scala
Groovy
Java
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesasynchronous Gremlin script jobsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyes, event driven architecturenonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoby FederationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnono
User concepts infoAccess controlLDAP bind authenticationRole-based access controlUsers, roles and permissionsnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryGigaSpacesHugeGraphPrometheusTimescaleDB
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