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DBMS > Ehcache vs. GridDB vs. Microsoft Azure Table Storage vs. Rockset vs. Sadas Engine

System Properties Comparison Ehcache vs. GridDB vs. Microsoft Azure Table Storage vs. Rockset vs. Sadas Engine

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGridDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRockset  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsScalable in-memory time series database optimized for IoT and Big DataA Wide Column Store for rapid development using massive semi-structured datasetsA scalable, reliable search and analytics service in the cloud, built on RocksDBSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelKey-value storeTime Series DBMSWide column storeDocument storeRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.79
Rank#211  Overall
#35  Document stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.ehcache.orggriddb.netazure.microsoft.com/­en-us/­services/­storage/­tablesrockset.comwww.sadasengine.com
Technical documentationwww.ehcache.org/­documentationdocs.griddb.netdocs.rockset.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperTerracotta Inc, owned by Software AGToshiba CorporationMicrosoftRocksetSADAS s.r.l.
Initial release20092013201220192006
Current release3.10.0, March 20225.1, August 20228.0
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 availablecommercialcommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C++
Server operating systemsAll OS with a Java VMLinuxhostedhostedAIX
Linux
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesdynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexesnoyesnoall fields are automatically indexedyes
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)noRead-only SQL queries, including JOINsyes
APIs and other access methodsJCacheJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
RESTful HTTP APIHTTP RESTJDBC
ODBC
Proprietary protocol
Supported programming languagesJavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnonononono
Triggersyes infoCache Event Listenersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingSharding infoImplicit feature of the cloud serviceAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACID at container leveloptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnoAccess rights for users can be defined per databaseAccess rights based on private key authentication or shared access signaturesAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
EhcacheGridDBMicrosoft Azure Table StorageRocksetSadas Engine
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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More resources
EhcacheGridDBMicrosoft Azure Table StorageRocksetSadas Engine
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