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DBMS > Ehcache vs. HEAVY.AI vs. MarkLogic vs. Sequoiadb vs. Tkrzw

System Properties Comparison Ehcache vs. HEAVY.AI vs. MarkLogic vs. Sequoiadb vs. Tkrzw

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMarkLogic  Xexclude from comparisonSequoiadb  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOperational and transactional Enterprise NoSQL databaseNewSQL database with distributed OLTP and SQLA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value storeRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Relational DBMS
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.ehcache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.marklogic.comwww.sequoiadb.comdbmx.net/­tkrzw
Technical documentationwww.ehcache.org/­documentationdocs.heavy.aidocs.marklogic.comwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperTerracotta Inc, owned by Software AGHEAVY.AI, Inc.MarkLogic Corp.Sequoiadb Ltd.Mikio Hirabayashi
Initial release20092016200120132020
Current release3.10.0, March 20225.10, January 202211.0, December 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2; enterprise edition availablecommercial inforestricted free version is availableOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ and CUDAC++C++C++
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Windows
LinuxLinux
macOS
Data schemeschema-freeyesschema-free infoSchema can be enforcedschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regexno
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.nonoyesnono
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoyesyes infoSQL92SQL-like query languageno
APIs and other access methodsJCacheJDBC
ODBC
Thrift
Vega
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
proprietary protocol using JSON
Supported programming languagesJavaAll languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infovia XQuery or JavaScriptJavaScriptno
Triggersyes infoCache Event Listenersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerSharding infoRound robinShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replicationyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACID infocan act as a resource manager in an XA/JTA transactionDocument is locked during a transaction
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.yesyesyes, with Range Indexesnoyes infousing specific database classes
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelssimple password-based access controlno

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More resources
EhcacheHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MarkLogicSequoiadbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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