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DBMS > Adabas vs. Google BigQuery vs. Pinecone vs. SAP HANA

System Properties Comparison Adabas vs. Google BigQuery vs. Pinecone vs. SAP HANA

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonPinecone  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformLarge scale data warehouse service with append-only tablesA managed, cloud-native vector databaseIn-memory, column based data store. Available as appliance or cloud service
Primary database modelMultivalue DBMSRelational DBMSVector DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlcloud.google.com/­bigquerywww.pinecone.iowww.sap.com/­products/­hana.html
Technical documentationcloud.google.com/­bigquery/­docsdocs.pinecone.io/­docs/­overviewhelp.sap.com/­hana
DeveloperSoftware AGGooglePinecone Systems, IncSAP
Initial release1971201020192010
Current release2.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesno infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedhostedAppliance or cloud-service
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanyes
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 indexesyesnoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyesnoyes
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/JSON APIRESTful HTTP APIJDBC
ODBC
Supported programming languagesNatural.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Python
Server-side scripts infoStored proceduresin Naturaluser defined functions infoin JavaScriptSQLScript, R
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes

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More resources
Adabas infodenotes "adaptable data base"Google BigQueryPineconeSAP HANA
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