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DBMS > Adabas vs. Amazon CloudSearch vs. Amazon Neptune vs. Hive vs. ITTIA

System Properties Comparison Adabas vs. Amazon CloudSearch vs. Amazon Neptune vs. Hive vs. ITTIA

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonHive  Xexclude from comparisonITTIA  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA hosted search engine service by Amazon with the data stored in Amazons cloudFast, reliable graph database built for the clouddata warehouse software for querying and managing large distributed datasets, built on HadoopEdge Time Series DBMS with Real-Time Stream Processing
Primary database modelMultivalue DBMSSearch engineGraph DBMS
RDF store
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score1.81
Rank#137  Overall
#12  Search engines
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlaws.amazon.com/­cloudsearchaws.amazon.com/­neptunehive.apache.orgwww.ittia.com
Technical documentationdocs.aws.amazon.com/­cloudsearchaws.amazon.com/­neptune/­developer-resourcescwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperSoftware AGAmazonAmazonApache Software Foundation infoinitially developed by FacebookITTIA L.L.C.
Initial release19712012201720122007
Current release3.1.3, April 20228.7
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedhostedAll OS with a Java VMLinux
Windows
Data schemeyesyesschema-freeyesFixed schema
Typing infopredefined data types such as float or dateyesyesyesyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Interval
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.nonono
Secondary indexesyesyes infoall search fields are automatically indexednoyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynonoSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
HTTP APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
WebSocket
Supported programming languagesNaturalC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
C
C++
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresin Naturalnonoyes infouser defined functions and integration of map-reduceyes
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistayes infoautomatic partitioning across Amazon Search Instance as requirednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes infomanaged transparently by AWSMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)authentication via encrypted signaturesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and rolesDatabase file passwords

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More resources
Adabas infodenotes "adaptable data base"Amazon CloudSearchAmazon NeptuneHiveITTIA
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