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DBMS > Atos Standard Common Repository vs. Hawkular Metrics vs. SpaceTime vs. VoltDB

System Properties Comparison Atos Standard Common Repository vs. Hawkular Metrics vs. SpaceTime vs. VoltDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonSpaceTime  Xexclude from comparisonVoltDB  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 networksHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.SpaceTime is a spatio-temporal DBMS with a focus on performance.Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store
Key-value store
Time Series DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Score1.38
Rank#156  Overall
#72  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.hawkular.orgwww.mireo.com/­spacetimewww.voltdb.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.voltdb.com
DeveloperAtos Convergence CreatorsCommunity supported by Red HatMireoVoltDB Inc.
Initial release2016201420202010
Current release170311.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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 languageJavaJavaC++Java, C++
Server operating systemsLinuxLinux
OS X
Windows
LinuxLinux
OS X infofor development
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyes
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.yesnono
Secondary indexesyesnonoyes
SQL infoSupport of SQLnonoA subset of ANSI SQL is implementedyes infoonly a subset of SQL 99
APIs and other access methodsLDAPHTTP RESTRESTful HTTP APIJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsGo
Java
Python
Ruby
C#
C++
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnononoJava
Triggersyesyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infobased on CassandraFixed-grid hypercubesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraReal-time block device replication (DRBD)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlLDAP bind authenticationnoyesUsers and roles with access to stored procedures

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More resources
Atos Standard Common RepositoryHawkular MetricsSpaceTimeVoltDB
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