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DBMS > GridDB vs. MaxDB vs. Microsoft Azure Synapse Analytics vs. Oracle Coherence vs. WakandaDB

System Properties Comparison GridDB vs. MaxDB vs. Microsoft Azure Synapse Analytics vs. Oracle Coherence vs. WakandaDB

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOracle Coherence  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataA robust and reliable RDBMS optimized to run all major SAP solutionsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOracles in-memory data grid solutionWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelTime Series DBMSRelational DBMSRelational DBMSKey-value storeObject oriented DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegriddb.netmaxdb.sap.comazure.microsoft.com/­services/­synapse-analyticswww.oracle.com/­java/­coherencewakanda.github.io
Technical documentationdocs.griddb.netmaxdb.sap.com/­documentationdocs.microsoft.com/­azure/­synapse-analyticsdocs.oracle.com/­en/­middleware/­standalone/­coherencewakanda.github.io/­doc
DeveloperToshiba CorporationSAP, acquired from Software AG (Adabas-D) in 1997MicrosoftOracleWakanda SAS
Initial release20131984201620072012
Current release5.1, August 20227.9.10.12, February 202414.1, August 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infoLimited community edition freecommercialcommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++JavaC++, JavaScript
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
hostedAll OS with a Java VMLinux
OS X
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yesyesnono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
WebDAV
ADO.NET
JDBC
ODBC
JCache
JPA
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
Perl
PHP
Python
C#
Java
PHP
.Net
C++
Java
JavaScript
Server-side scripts infoStored proceduresnoyesTransact SQLnoyes
Triggersyesyesnoyes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyesyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACIDconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardyesauthentification to access the cache via certificates or http basic authenticationyes
More information provided by the system vendor
GridDBMaxDB infoformerly named Adabas-DMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOracle CoherenceWakandaDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridDBMaxDB infoformerly named Adabas-DMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOracle CoherenceWakandaDB
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