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DBMS > Adabas vs. Alibaba Cloud MaxCompute vs. AnzoGraph DB vs. Kinetica vs. Sphinx

System Properties Comparison Adabas vs. Alibaba Cloud MaxCompute vs. AnzoGraph DB vs. Kinetica vs. Sphinx

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAlibaba Cloud MaxCompute  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonKinetica  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationFully vectorized database across both GPUs and CPUsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelMultivalue DBMSRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesGraph DBMS
RDF store
Relational DBMSSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.alibabacloud.com/­product/­maxcomputecambridgesemantics.com/­anzographwww.kinetica.comsphinxsearch.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.kinetica.comsphinxsearch.com/­docs
DeveloperSoftware AGAlibabaCambridge SemanticsKineticaSphinx Technologies Inc.
Initial release19712016201820122001
Current release2.3, January 20217.1, August 20213.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree trial version availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedLinuxLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesSchema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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.nononono
Secondary indexesyesnonoyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like query languageSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementsSQL-like query language (SphinxQL)
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
Fluentd
Flume
MaxCompute Console
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
Proprietary protocol
Supported programming languagesNaturalJavaC++
Java
Python
C++
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresin Naturaluser defined functions infoin Javauser defined functions and aggregatesuser defined functionsno
Triggersnononoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infoImplicit feature of the cloud serviceAutomatic shardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes infoImplicit feature of the cloud serviceMulti-source replication in MPP-ClusterSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonono infonot needed in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users and rolesAccess rights for users and rolesAccess rights for users and roles on table levelno

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Adabas infodenotes "adaptable data base"Alibaba Cloud MaxComputeAnzoGraph DBKineticaSphinx
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