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DBMS > Atos Standard Common Repository vs. Hawkular Metrics vs. Ignite vs. MarkLogic

System Properties Comparison Atos Standard Common Repository vs. Hawkular Metrics vs. Ignite vs. MarkLogic

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIgnite  Xexclude from comparisonMarkLogic  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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Operational and transactional Enterprise NoSQL database
Primary database modelDocument store
Key-value store
Time Series DBMSKey-value store
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.hawkular.orgignite.apache.orgwww.progress.com/­marklogic
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideapacheignite.readme.io/­docswww.progress.com/­marklogic/­documentation
DeveloperAtos Convergence CreatorsCommunity supported by Red HatApache Software FoundationMarkLogic Corp.
Initial release2016201420152001
Current release1703Apache Ignite 2.611.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial inforestricted free version is available
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, .NetC++
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-free infoSchema can be enforced
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.yesnoyesyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLyes infoSQL92
APIs and other access methodsLDAPHTTP RESTHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesAll languages with LDAP bindingsGo
Java
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)yes infovia XQuery or JavaScript
Triggersyesyes infovia Hawkular Alertingyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACID infocan act as a resource manager in an XA/JTA transaction
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.yesnoyesyes, with Range Indexes
User concepts infoAccess controlLDAP bind authenticationnoSecurity Hooks for custom implementationsRole-based access control at the document and subdocument levels

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Atos Standard Common RepositoryHawkular MetricsIgniteMarkLogic
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