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DBMS > Atos Standard Common Repository vs. BoltDB vs. Graph Engine vs. Hypertable vs. IBM Db2 warehouse

System Properties Comparison Atos Standard Common Repository vs. BoltDB vs. Graph Engine vs. Hypertable vs. IBM Db2 warehouse

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBoltDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  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 embedded key-value store for Go.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open source BigTable implementation based on distributed file systems such as HadoopCloud-based data warehousing service
Primary database modelDocument store
Key-value store
Key-value storeGraph DBMS
Key-value store
Wide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.30
Rank#164  Overall
#75  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­boltdb/­boltwww.graphengine.iowww.ibm.com/­products/­db2/­warehouse
Technical documentationwww.graphengine.io/­docs/­manual
DeveloperAtos Convergence CreatorsMicrosoftHypertable Inc.IBM
Initial release20162013201020092014
Current release17030.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoMIT LicenseOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo.NET and CC++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
.NETLinux
OS X
Windows infoan inofficial Windows port is available
hosted
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalnoyesnoyes
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 infoImport/export of XML data possible
Secondary indexesyesnorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsLDAPRESTful HTTP APIC++ API
Thrift
.NET Client API
JDBC
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindingsGoC#
C++
F#
Visual Basic
C++
Java
Perl
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyesnoPL/SQL, SQL PL
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonehorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factor on file system levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
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 authenticationnonofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryBoltDBGraph Engine infoformer name: TrinityHypertableIBM Db2 warehouse infoformerly named IBM dashDB
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