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DBMS > Ehcache vs. GridDB vs. IBM Cloudant vs. Microsoft Azure Synapse Analytics

System Properties Comparison Ehcache vs. GridDB vs. IBM Cloudant vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGridDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsScalable in-memory time series database optimized for IoT and Big DataDatabase as a Service offering based on Apache CouchDBElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelKey-value storeTime Series DBMSDocument storeRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitewww.ehcache.orggriddb.netwww.ibm.com/­products/­cloudantazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.ehcache.org/­documentationdocs.griddb.netcloud.ibm.com/­docs/­Cloudantdocs.microsoft.com/­azure/­synapse-analytics
DeveloperTerracotta Inc, owned by Software AGToshiba CorporationIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Microsoft
Initial release2009201320102016
Current release3.10.0, March 20225.1, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ErlangC++
Server operating systemsAll OS with a Java VMLinuxhostedhosted
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampnoyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)noyes
APIs and other access methodsJCacheJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Supported programming languagesJavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresnonoView functions (Map-Reduce) in JavaScriptTransact SQL
Triggersyes infoCache Event Listenersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate consistency within container, eventual consistency across containersEventual 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 datayes infosupports JTA and can work as an XA resourceACID at container levelno infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoAccess rights for users can be defined per databaseAccess rights for users can be defined per databaseyes
More information provided by the system vendor
EhcacheGridDBIBM CloudantMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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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EhcacheGridDBIBM CloudantMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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