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DBMS > Adabas vs. Amazon DocumentDB vs. Atos Standard Common Repository vs. Sphinx vs. Yaacomo

System Properties Comparison Adabas vs. Amazon DocumentDB vs. Atos Standard Common Repository vs. Sphinx vs. Yaacomo

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonSphinx  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
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksOpen source search engine for searching in data from different sources, e.g. relational databasesOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelMultivalue DBMSDocument storeDocument store
Key-value store
Search engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score1.91
Rank#132  Overall
#24  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorysphinxsearch.comyaacomo.com
Technical documentationaws.amazon.com/­documentdb/­resourcessphinxsearch.com/­docs
DeveloperSoftware AGAtos Convergence CreatorsSphinx Technologies Inc.Q2WEB GmbH
Initial release19712019201620012009
Current release17033.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Android
Linux
Windows
Data schemeyesschema-freeSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesyesoptionalnoyes
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.nonoyesno
Secondary indexesyesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynonoSQL-like query language (SphinxQL)yes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
proprietary protocol using JSON (MongoDB compatible)LDAPProprietary protocolJDBC
ODBC
Supported programming languagesNaturalGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindingsC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresin Naturalnonono
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanoneSharding infocell divisionSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users and rolesLDAP bind authenticationnofine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"Amazon DocumentDBAtos Standard Common RepositorySphinxYaacomo
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