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DBMS > Adabas vs. Microsoft Azure Table Storage vs. Sphinx vs. TigerGraph

System Properties Comparison Adabas vs. Microsoft Azure Table Storage vs. Sphinx vs. TigerGraph

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSphinx  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA Wide Column Store for rapid development using massive semi-structured datasetsOpen source search engine for searching in data from different sources, e.g. relational databasesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelMultivalue DBMSWide column storeSearch engineGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.34
Rank#70  Overall
#1  Multivalue DBMS
Score4.79
Rank#66  Overall
#5  Wide column stores
Score6.63
Rank#50  Overall
#5  Search engines
Score0.96
Rank#154  Overall
#10  Graph DBMS
Websitewww.softwareag.com/­corporate/­products/­adabas_natural/­adabas/­default.htmlazure.microsoft.com/­en-us/­services/­storage/­tablessphinxsearch.comwww.tigergraph.com
Technical documentationsphinxsearch.com/­docsdocs.tigergraph.com
DeveloperSoftware AGMicrosoftSphinx Technologies Inc.
Initial release1971201220012017
Current release3.1.1, October 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoSQL-like query language (SphinxQL)SQL-like query language (GSQL)
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
RESTful HTTP APIProprietary protocolGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesNatural.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
Server-side scripts infoStored proceduresin Naturalnonoyes
Triggersnononono
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 serviceSharding 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 service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.nonono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights based on private key authentication or shared access signaturesnoRole-based access control
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Microsoft Azure Table StorageSphinxTigerGraph
Specific characteristicsTigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesTigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosAnti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersTigerGraph’s proven technology supports applications such as fraud detection, customer...
» more
Market metricsTigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more
Licensing and pricing modelsNEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service. Hourly pricing...
» more

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Adabas infodenotes "adaptable data base"Microsoft Azure Table StorageSphinxTigerGraph
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