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DBMS > Ehcache vs. Google Cloud Bigtable vs. Hive vs. InterSystems Caché vs. ObjectBox

System Properties Comparison Ehcache vs. Google Cloud Bigtable vs. Hive vs. InterSystems Caché vs. ObjectBox

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHive  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonObjectBox  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA widely adopted Java cache with tiered storage optionsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.data warehouse software for querying and managing large distributed datasets, built on HadoopA multi-model DBMS and application serverExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelKey-value storeKey-value store
Wide column store
Relational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Object oriented DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Websitewww.ehcache.orgcloud.google.com/­bigtablehive.apache.orgwww.intersystems.com/­products/­cacheobjectbox.io
Technical documentationwww.ehcache.org/­documentationcloud.google.com/­bigtable/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedocs.intersystems.comdocs.objectbox.io
DeveloperTerracotta Inc, owned by Software AGGoogleApache Software Foundation infoinitially developed by FacebookInterSystemsObjectBox Limited
Initial release20092015201219972017
Current release3.10.0, March 20223.1.3, April 20222018.1.4, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache Version 2commercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++
Server operating systemsAll OS with a Java VMhostedAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
Data schemeschema-freeschema-freeyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesnonoyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyesno
APIs and other access methodsJCachegRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
RESTful HTTP API
Proprietary native API
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
PHP
Python
C#
C++
Java
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceyesno
Triggersyes infoCache Event Listenersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factorSource-replica replicationonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceAtomic single-row operationsnoACIDACID
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.yesnoyesno
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and rolesAccess rights for users, groups and rolesyes
More information provided by the system vendor
EhcacheGoogle Cloud BigtableHiveInterSystems CachéObjectBox
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More resources
EhcacheGoogle Cloud BigtableHiveInterSystems CachéObjectBox
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