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DBMS > Ehcache vs. Google Cloud Spanner vs. Microsoft Azure SQL Database vs. TimesTen vs. Transwarp StellarDB

System Properties Comparison Ehcache vs. Google Cloud Spanner vs. Microsoft Azure SQL Database vs. TimesTen vs. Transwarp StellarDB

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTimesTen  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Database as a Service offering with high compatibility to Microsoft SQL ServerAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.A distributed graph DBMS built for enterprise-level graph applications
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.79
Rank#66  Overall
#8  Key-value stores
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
Websitewww.ehcache.orgcloud.google.com/­spannerazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.transwarp.cn/­en/­product/­stellardb
Technical documentationwww.ehcache.org/­documentationcloud.google.com/­spanner/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperTerracotta Inc, owned by Software AGGoogleMicrosoftOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005Transwarp
Initial release2009201720101998
Current release3.10.0, March 2022V12Release 22.1
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VMhostedhostedIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeschema-freeyesyesyes
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.nonoyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011yesyesSQL-like query language
APIs and other access methodsJCachegRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
OpenCypher
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnonoTransact SQLPL/SQL
Triggersyes infoCache Event Listenersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replication with 3 replicas for regional instances.yes, with always 3 replicas availableMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes

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More resources
EhcacheGoogle Cloud SpannerMicrosoft Azure SQL Database infoformerly SQL AzureTimesTenTranswarp StellarDB
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