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DBMS > Adabas vs. DuckDB vs. GeoMesa vs. Google Cloud Firestore vs. Kinetica

System Properties Comparison Adabas vs. DuckDB vs. GeoMesa vs. Google Cloud Firestore vs. Kinetica

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDuckDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformAn embeddable, in-process, column-oriented SQL OLAP RDBMSGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Fully vectorized database across both GPUs and CPUs
Primary database modelMultivalue DBMSRelational DBMSSpatial DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.64
Rank#104  Overall
#1  Multivalue DBMS
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score6.63
Rank#54  Overall
#9  Document stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlduckdb.orgwww.geomesa.orgfirebase.google.com/­products/­firestorewww.kinetica.com
Technical documentationduckdb.org/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmlfirebase.google.com/­docs/­firestoredocs.kinetica.com
DeveloperSoftware AGCCRi and othersGoogleKinetica
Initial release19712018201420172012
Current release1.0.0, June 20245.0.1, July 20247.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaC, C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
server-lesshostedLinux
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayyesnonoSQL-like DML and DDL statements
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesNaturalC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresin Naturalnonoyes, Firebase Rules & Cloud Functionsuser defined functions
Triggersnononoyes, with Cloud Functionsyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanonedepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatornonedepending on storage layerMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on storage layerImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesdepending on storage layeryes infoGPU vRAM or System RAM
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)noyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users and roles on table level

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More resources
Adabas infodenotes "adaptable data base"DuckDBGeoMesaGoogle Cloud FirestoreKinetica
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