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DBMS > Adabas vs. GeoSpock vs. Google Cloud Firestore vs. Microsoft Azure Synapse Analytics

System Properties Comparison Adabas vs. GeoSpock vs. Google Cloud Firestore vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformSpatial and temporal data processing engine for extreme data scaleCloud 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.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelMultivalue DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#91  Overall
#1  Multivalue DBMS
Score8.96
Rank#48  Overall
#8  Document stores
Score22.71
Rank#30  Overall
#18  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlgeospock.comfirebase.google.com/­products/­firestoreazure.microsoft.com/­services/­synapse-analytics
Technical documentationfirebase.google.com/­docs/­firestoredocs.microsoft.com/­azure/­synapse-analytics
DeveloperSoftware AGGeoSpockGoogleMicrosoft
Initial release197120172016
Current release2.0, September 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedhostedhosted
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyestemporal, categoricalyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayANSI SQL for query only (using Presto)noyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesNaturalGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
Java
PHP
Server-side scripts infoStored proceduresin Naturalnoyes, Firebase Rules & Cloud FunctionsTransact SQL
Triggersnonoyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaAutomatic shardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACID
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.nono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes

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More resources
Adabas infodenotes "adaptable data base"GeoSpockGoogle Cloud FirestoreMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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