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DBMS > Atos Standard Common Repository vs. Hawkular Metrics vs. Manticore Search vs. Oracle Rdb vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. Hawkular Metrics vs. Manticore Search vs. Oracle Rdb vs. Yaacomo

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonManticore Search  Xexclude from comparisonOracle Rdb  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is 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.Multi-storage database for search, including full-text search.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Time Series DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score1.14
Rank#178  Overall
#80  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.hawkular.orgmanticoresearch.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlyaacomo.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidemanual.manticoresearch.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperAtos Convergence CreatorsCommunity supported by Red HatManticore SoftwareOracle, originally developed by Digital Equipment Corporation (DEC)Q2WEB GmbH
Initial release20162014201719842009
Current release17036.0, February 20237.4.1.1, 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL version 2commercialcommercial
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++
Server operating systemsLinuxLinux
OS X
Windows
FreeBSD
Linux
macOS
Windows
HP Open VMSAndroid
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeFixed schemaFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateoptionalyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.yesnoCan index from XMLnono
Secondary indexesyesnoyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnonoSQL-like query languageyesyes
APIs and other access methodsLDAPHTTP RESTBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsGo
Java
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnonouser defined functions
Triggersyesyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infobased on CassandraSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraSynchronous replication based on Galera librarySource-replica replication
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 configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoyes infoisolated transactions for atomic changes and binary logging for safe writesyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlLDAP bind authenticationnonofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryHawkular MetricsManticore SearchOracle RdbYaacomo
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