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DBMS > Atos Standard Common Repository vs. Hypertable vs. Kdb vs. Microsoft Azure AI Search vs. VelocityDB

System Properties Comparison Atos Standard Common Repository vs. Hypertable vs. Kdb vs. Microsoft Azure AI Search vs. VelocityDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHypertable  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonVelocityDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn open source BigTable implementation based on distributed file systems such as HadoopHigh performance Time Series DBMSSearch-as-a-service for web and mobile app developmentA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument store
Key-value store
Wide column storeTime Series DBMS
Vector DBMS
Search engineGraph DBMS
Object oriented DBMS
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorykx.comazure.microsoft.com/­en-us/­services/­searchvelocitydb.com
Technical documentationcode.kx.comlearn.microsoft.com/­en-us/­azure/­searchvelocitydb.com/­UserGuide
DeveloperAtos Convergence CreatorsHypertable Inc.Kx Systems, a division of First Derivatives plcMicrosoftVelocityDB Inc
Initial release201620092000 infokdb was released 2000, kdb+ in 200320152011
Current release17030.9.8.11, March 20163.6, May 2018V17.x
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercial infofree 32-bit versioncommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++qC#
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Solaris
Windows
hostedAny that supports .NET
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesyes
Typing infopredefined data types such as float or dateoptionalnoyesyesyes
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.yesyesnono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLnonoSQL-like query language (q)nono
APIs and other access methodsLDAPC++ API
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API.Net
Supported programming languagesAll languages with LDAP bindingsC++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
JavaScript
Python
.Net
Server-side scripts infoStored proceduresnonouser defined functionsnono
Triggersyesnoyes infowith viewsnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardinghorizontal partitioningSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationnorights management via user accountsyes infousing Azure authenticationBased on Windows Authentication
More information provided by the system vendor
Atos Standard Common RepositoryHypertableKdbMicrosoft Azure AI SearchVelocityDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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Atos Standard Common RepositoryHypertableKdbMicrosoft Azure AI SearchVelocityDB
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