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DBMS > Ehcache vs. Google Cloud Spanner vs. Microsoft Access vs. Warp 10

System Properties Comparison Ehcache vs. Google Cloud Spanner vs. Microsoft Access vs. Warp 10

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonWarp 10  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.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series 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
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Websitewww.ehcache.orgcloud.google.com/­spannerwww.microsoft.com/­en-us/­microsoft-365/­accesswww.warp10.io
Technical documentationwww.ehcache.org/­documentationcloud.google.com/­spanner/­docsdeveloper.microsoft.com/­en-us/­accesswww.warp10.io/­content/­02_Getting_started
DeveloperTerracotta Inc, owned by Software AGGoogleMicrosoftSenX
Initial release2009201719922015
Current release3.10.0, March 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsAll OS with a Java VMhostedWindows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Data schemeschema-freeyesyesschema-free
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.nonono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011yes infobut not compliant to any SQL standardno
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
DAO
ODBC
OLE DB
HTTP API
Jupyter
WebSocket
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineyes infoWarpScript
Triggersyes infoCache Event Listenersnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replication with 3 replicas for regional instances.noneselectable replication factor infobased on HBase
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 Consistency infobased on HBase
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACID infoStrict serializable isolationACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes infobut no files for transaction loggingyes
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)no infoa simple user-level security was built in till version Access 2003Mandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
EhcacheGoogle Cloud SpannerMicrosoft AccessWarp 10
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