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DBMS > Ehcache vs. Google BigQuery vs. H2 vs. Kingbase

System Properties Comparison Ehcache vs. Google BigQuery vs. H2 vs. Kingbase

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonH2  Xexclude from comparisonKingbase  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsLarge scale data warehouse service with append-only tablesFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Websitewww.ehcache.orgcloud.google.com/­bigquerywww.h2database.comwww.kingbase.com.cn
Technical documentationwww.ehcache.org/­documentationcloud.google.com/­bigquery/­docswww.h2database.com/­html/­main.html
DeveloperTerracotta Inc, owned by Software AGGoogleThomas MuellerBeiJing KINGBASE Information technologies inc.
Initial release2009201020051999
Current release3.10.0, March 20222.2.220, July 2023V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and Java
Server operating systemsAll OS with a Java VMhostedAll OS with a Java VMLinux
Windows
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.nononoyes
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoyesyesStandard with numerous extensions
APIs and other access methodsJCacheRESTful HTTP/JSON APIJDBC
ODBC
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesJava.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptJava Stored Procedures and User-Defined Functionsuser defined functions
Triggersyes infoCache Event Listenersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Servernonenonehorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceno infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesnoyes
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
EhcacheGoogle BigQueryH2Kingbase
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