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DBMS > Ehcache vs. LevelDB vs. MarkLogic vs. Microsoft Azure Table Storage vs. Sadas Engine

System Properties Comparison Ehcache vs. LevelDB vs. MarkLogic vs. Microsoft Azure Table Storage vs. Sadas Engine

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonLevelDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOperational and transactional Enterprise NoSQL databaseA Wide Column Store for rapid development using massive semi-structured datasetsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelKey-value storeKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Wide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.55
Rank#69  Overall
#8  Key-value stores
Score3.32
Rank#100  Overall
#16  Key-value stores
Score7.08
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score5.35
Rank#71  Overall
#6  Wide column stores
Score0.06
Rank#371  Overall
#155  Relational DBMS
Websitewww.ehcache.orggithub.com/­google/­leveldbwww.marklogic.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.sadasengine.com
Technical documentationwww.ehcache.org/­documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.marklogic.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperTerracotta Inc, owned by Software AGGoogleMarkLogic Corp.MicrosoftSADAS s.r.l.
Initial release20092011200120122006
Current release3.10.0, March 20221.23, February 202111.0, December 20228.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSDcommercial inforestricted free version is availablecommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C++
Server operating systemsAll OS with a Java VMIllumos
Linux
OS X
Windows
Linux
OS X
Windows
hostedAIX
Linux
Windows
Data schemeschema-freeschema-freeschema-free infoSchema can be enforcedschema-freeyes
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.nonoyesnono
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLnonoyes infoSQL92noyes
APIs and other access methodsJCacheJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languagesJavaC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyes infovia XQuery or JavaScriptnono
Triggersyes infoCache Event Listenersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServernoneShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Servernoneyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
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 transactionoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnonoRole-based access control at the document and subdocument levelsAccess rights based on private key authentication or shared access signaturesAccess rights for users, groups and roles according to SQL-standard

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More resources
EhcacheLevelDBMarkLogicMicrosoft Azure Table StorageSadas Engine
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