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DBMS > Ehcache vs. Google Cloud Bigtable vs. MarkLogic vs. STSdb

System Properties Comparison Ehcache vs. Google Cloud Bigtable vs. MarkLogic vs. STSdb

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMarkLogic  Xexclude from comparisonSTSdb  Xexclude from comparison
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.Operational and transactional Enterprise NoSQL databaseKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeKey-value store
Wide column store
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.ehcache.orgcloud.google.com/­bigtablewww.progress.com/­marklogicgithub.com/­STSSoft/­STSdb4
Technical documentationwww.ehcache.org/­documentationcloud.google.com/­bigtable/­docswww.progress.com/­marklogic/­documentation
DeveloperTerracotta Inc, owned by Software AGGoogleMarkLogic Corp.STS Soft SC
Initial release2009201520012011
Current release3.10.0, March 202211.0, December 20224.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial inforestricted free version is availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Windows
Windows
Data schemeschema-freeschema-freeschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesnoyesyes infoprimitive types and user defined types (classes)
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.nonoyes
Secondary indexesnonoyesno
SQL infoSupport of SQLnonoyes infoSQL92no
APIs and other access methodsJCachegRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
.NET Client API
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresnonoyes infovia XQuery or JavaScriptno
Triggersyes infoCache Event Listenersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingShardingnone
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 zonesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
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)Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceAtomic single-row operationsACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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, with Range Indexes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control at the document and subdocument levelsno

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More resources
EhcacheGoogle Cloud BigtableMarkLogicSTSdb
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