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DBMS > Apache Drill vs. Ehcache vs. MarkLogic vs. Yanza

System Properties Comparison Apache Drill vs. Ehcache vs. MarkLogic vs. Yanza

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonEhcache  Xexclude from comparisonMarkLogic  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA widely adopted Java cache with tiered storage optionsOperational and transactional Enterprise NoSQL databaseTime Series DBMS for IoT Applications
Primary database modelDocument store
Relational DBMS
Key-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Websitedrill.apache.orgwww.ehcache.orgwww.progress.com/­marklogicyanza.com
Technical documentationdrill.apache.org/­docswww.ehcache.org/­documentationwww.progress.com/­marklogic/­documentation
DeveloperApache Software FoundationTerracotta Inc, owned by Software AGMarkLogic Corp.Yanza
Initial release2012200920012015
Current release1.20.3, January 20233.10.0, March 202211.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; commercial licenses availablecommercial inforestricted free version is availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Windows
Data schemeschema-freeschema-freeschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesnonoyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoyes infoSQL92no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCacheJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
HTTP API
Supported programming languagesC++JavaC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsnoyes infovia XQuery or JavaScriptno
Triggersnoyes infoCache Event Listenersyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resourceACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyes, with Range Indexes
User concepts infoAccess controlDepending on the underlying data sourcenoRole-based access control at the document and subdocument levelsno

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More resources
Apache DrillEhcacheMarkLogicYanza
Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

Recent citations in the news

Apache Drill case study: A tutorial on processing CSV files
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Analyse Kafka messages with SQL queries using Apache Drill
27 September 2019, Towards Data Science

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Apache Drill Eliminates ETL, Data Transformation for MapR Database
11 April 2016, The New Stack

Drill Mines Diverse Data Sets, Google Style
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