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DBMS > Adabas vs. Atos Standard Common Repository vs. Cassandra vs. Hypertable vs. SpaceTime

System Properties Comparison Adabas vs. Atos Standard Common Repository vs. Cassandra vs. Hypertable vs. SpaceTime

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCassandra  Xexclude from comparisonHypertable  Xexclude from comparisonSpaceTime  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.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessAn open source BigTable implementation based on distributed file systems such as HadoopSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelMultivalue DBMSDocument store
Key-value store
Wide column storeWide column storeSpatial DBMS
Secondary database modelsVector DBMS infostarting with release V5Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#87  Overall
#1  Multivalue DBMS
Score104.59
Rank#12  Overall
#1  Wide column stores
Score0.00
Rank#394  Overall
#8  Spatial DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlatos.net/en/convergence-creators/portfolio/standard-common-repositorycassandra.apache.orgwww.mireo.com/­spacetime
Technical documentationcassandra.apache.org/­doc/­latest
DeveloperSoftware AGAtos Convergence CreatorsApache Software Foundation infoApache top level project, originally developped by FacebookHypertable Inc.Mireo
Initial release19712016200820092020
Current release17034.1.3, July 20230.9.8.11, March 2016
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxBSD
Linux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeyesSchema and schema-less with LDAP viewsschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalyesnoyes
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.noyesnono
Secondary indexesyesyesrestricted infoonly equality queries, not always the best performing solutionrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoSQL-like SELECT, DML and DDL statements (CQL)noA subset of ANSI SQL is implemented
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
LDAPProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
C++ API
Thrift
RESTful HTTP API
Supported programming languagesNaturalAll languages with LDAP bindingsC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
C#
C++
Python
Server-side scripts infoStored proceduresin Naturalnononono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infocell divisionSharding infono "single point of failure"ShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryesselectable replication factor infoRepresentation of geographical distribution of servers is possibleselectable replication factor on file system levelReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsno infoAtomicity and isolation are supported for single operationsnono
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.noyesnono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)LDAP bind authenticationAccess rights for users can be defined per objectnoyes
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Atos Standard Common RepositoryCassandraHypertableSpaceTime
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metricsCassandra is used by 40% of the Fortune 100.
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Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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