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DBMS > Adabas vs. GeoMesa vs. HarperDB vs. Microsoft Azure Synapse Analytics vs. WakandaDB

System Properties Comparison Adabas vs. GeoMesa vs. HarperDB vs. Microsoft Azure Synapse Analytics vs. WakandaDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGeoMesa  Xexclude from comparisonHarperDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelMultivalue DBMSSpatial DBMSDocument storeRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.geomesa.orgwww.harperdb.ioazure.microsoft.com/­services/­synapse-analyticswakanda.github.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.harperdb.io/­docsdocs.microsoft.com/­azure/­synapse-analyticswakanda.github.io/­doc
DeveloperSoftware AGCCRi and othersHarperDBMicrosoftWakanda SAS
Initial release19712014201720162012
Current release4.0.5, February 20243.1, August 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercial infofree community edition availablecommercialOpen Source infoAGPLv3, extended commercial license available
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 languageScalaNode.jsC++C++, JavaScript
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
hostedLinux
OS X
Windows
Data schemeyesyesdynamic schemayesyes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoSQL-like data manipulation statementsyesno
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesNatural.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
Java
PHP
JavaScript
Server-side scripts infoStored proceduresin NaturalnoCustom Functions infosince release 3.1Transact SQLyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistadepending on storage layerA table resides as a whole on one (or more) nodes in a clusterSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatordepending on storage layeryes infothe nodes on which a table resides can be definedyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate 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 dataACIDnoAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layeryesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)yes infodepending on the DBMS used for storageAccess rights for users and rolesyesyes

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More resources
Adabas infodenotes "adaptable data base"GeoMesaHarperDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWakandaDB
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