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DBMS > Ehcache vs. GeoSpock vs. Google Cloud Spanner vs. HBase vs. Microsoft Access

System Properties Comparison Ehcache vs. GeoSpock vs. Google Cloud Spanner vs. HBase vs. Microsoft Access

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA widely adopted Java cache with tiered storage optionsSpatial and temporal data processing engine for extreme data scaleA 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.Wide-column store based on Apache Hadoop and on concepts of BigTableMicrosoft 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.)
Primary database modelKey-value storeRelational DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitewww.ehcache.orggeospock.comcloud.google.com/­spannerhbase.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationwww.ehcache.org/­documentationcloud.google.com/­spanner/­docshbase.apache.org/­book.htmldeveloper.microsoft.com/­en-us/­access
DeveloperTerracotta Inc, owned by Software AGGeoSpockGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoft
Initial release2009201720081992
Current release3.10.0, March 20222.0, September 20192.3.4, January 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialOpen Source infoApache version 2commercial infoBundled with Microsoft Office
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 languageJavaJava, JavascriptJavaC++
Server operating systemsAll OS with a Java VMhostedhostedLinux
Unix
Windows infousing Cygwin
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVROyes
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 indexesnotemporal, categoricalyesnoyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yes infoQuery statements complying to ANSI 2011noyes infobut not compliant to any SQL standard
APIs and other access methodsJCacheJDBCgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyes infoCoprocessors in Javayes infosince Access 2010 using the ACE-engine
Triggersyes infoCache Event Listenersnonoyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerAutomatic shardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replication with 3 replicas for regional instances.Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACID infoStrict serializable isolationSingle row ACID (across millions of columns)ACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnoAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno infoa simple user-level security was built in till version Access 2003

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More resources
EhcacheGeoSpockGoogle Cloud SpannerHBaseMicrosoft Access
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