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DBMS > Atos Standard Common Repository vs. Ehcache vs. gStore vs. Hawkular Metrics vs. TimescaleDB

System Properties Comparison Atos Standard Common Repository vs. Ehcache vs. gStore vs. Hawkular Metrics vs. TimescaleDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonEhcache  Xexclude from comparisongStore  Xexclude from comparisonHawkular Metrics  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 networksA widely adopted Java cache with tiered storage optionsA native Graph DBMS to store and maintain very large RDF datasets.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Key-value store
Key-value storeGraph DBMS
RDF store
Time Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ehcache.orgen.gstore.cnwww.hawkular.orgwww.timescale.com
Technical documentationwww.ehcache.org/­documentationen.gstore.cn/­#/­enDocswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.timescale.com
DeveloperAtos Convergence CreatorsTerracotta Inc, owned by Software AGCommunity supported by Red HatTimescale
Initial release20162009201620142017
Current release17033.10.0, March 20221.2, November 20232.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSDOpen 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 languageJavaJavaC++JavaC
Server operating systemsLinuxAll OS with a Java VMLinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-free and OWL/RDFS-schema supportschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesyesnumerics, 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.yesnononoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLnonononoyes infofull PostgreSQL SQL syntax
APIs and other access methodsLDAPJCacheHTTP API
SPARQL 1.1
HTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages with LDAP bindingsJavaC++
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyesnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyes infoCache Event Listenersyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoby using Terracotta ServerSharding infobased on Cassandrayes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta Serverselectable replication factor infobased on CassandraSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyes infosupports JTA and can work as an XA resourceyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonono
User concepts infoAccess controlLDAP bind authenticationnoUsers, roles and permissions, Role-Based Access Control (RBAC) supportednofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryEhcachegStoreHawkular MetricsTimescaleDB
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