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DBMS > Ehcache vs. Google Cloud Spanner vs. Lovefield vs. MarkLogic vs. Sadas Engine

System Properties Comparison Ehcache vs. Google Cloud Spanner vs. Lovefield vs. MarkLogic vs. Sadas Engine

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonLovefield  Xexclude from comparisonMarkLogic  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Embeddable relational database for web apps written in pure JavaScriptOperational and transactional Enterprise NoSQL databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.ehcache.orgcloud.google.com/­spannergoogle.github.io/­lovefieldwww.marklogic.comwww.sadasengine.com
Technical documentationwww.ehcache.org/­documentationcloud.google.com/­spanner/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.marklogic.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperTerracotta Inc, owned by Software AGGoogleGoogleMarkLogic Corp.SADAS s.r.l.
Initial release20092017201420012006
Current release3.10.0, March 20222.1.12, February 201711.0, December 20228.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0commercial inforestricted free version is availablecommercial infofree trial version available
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 languageJavaJavaScriptC++C++
Server operating systemsAll OS with a Java VMhostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
AIX
Linux
Windows
Data schemeschema-freeyesyesschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011SQL-like query language infovia JavaScript builder patternyes infoSQL92yes
APIs and other access methodsJCachegRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
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
JDBC
ODBC
Proprietary protocol
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
Python
JavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnononoyes infovia XQuery or JavaScriptno
Triggersyes infoCache Event ListenersnoUsing read-only observersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replication with 3 replicas for regional instances.noneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyes 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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACID infoStrict serializable isolationACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing MemoryDByes, with Range Indexesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standard

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EhcacheGoogle Cloud SpannerLovefieldMarkLogicSadas Engine
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