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DBMS > Atos Standard Common Repository vs. Hawkular Metrics vs. HEAVY.AI vs. Raima Database Manager

System Properties Comparison Atos Standard Common Repository vs. Hawkular Metrics vs. HEAVY.AI vs. Raima Database Manager

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareRDBMS with a small footprint, either embedded into an application or used as a database server
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMSRelational DBMS
Time Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.46
Rank#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.hawkular.orggithub.com/­heavyai/­heavydb
www.heavy.ai
raima.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.heavy.aidocs.raima.com
DeveloperAtos Convergence CreatorsCommunity supported by Red HatHEAVY.AI, Inc.Raima Inc.
Initial release2016201420161984
Current release17035.10, January 202215, June 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercial
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++ and CUDAC
Server operating systemsLinuxLinux
OS X
Windows
LinuxAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
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.yesnonono infoExporting/Importing of XML structures possible
Secondary indexesyesnonoyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsLDAPHTTP RESTJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsGo
Java
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Objective-C
PL/SQL
Server-side scripts infoStored proceduresnononoyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specification
Triggersyesyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infobased on CassandraSharding infoRound robinhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraMulti-source replicationSource-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 ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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
User concepts infoAccess controlLDAP bind authenticationnofine grained access rights according to SQL-standardno
More information provided by the system vendor
Atos Standard Common RepositoryHawkular MetricsHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Raima Database Manager infoformerly named db_Vista
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
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Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
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Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
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News

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1 October 2020

Raima Expands Their Reseller Network in Asia
19 May 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Atos Standard Common RepositoryHawkular MetricsHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Raima Database Manager infoformerly named db_Vista
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