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DBMS > Apache Impala vs. MarkLogic vs. Warp 10 vs. Yaacomo

System Properties Comparison Apache Impala vs. MarkLogic vs. Warp 10 vs. Yaacomo

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMarkLogic  Xexclude from comparisonWarp 10  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAnalytic DBMS for HadoopOperational and transactional Enterprise NoSQL databaseTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteimpala.apache.orgwww.progress.com/­marklogicwww.warp10.ioyaacomo.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.progress.com/­marklogic/­documentationwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMarkLogic Corp.SenXQ2WEB GmbH
Initial release2013200120152009
Current release4.1.0, June 202211.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial inforestricted free version is availableOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Windows
Android
Linux
Windows
Data schemeyesschema-free infoSchema can be enforcedschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL92noyes
APIs and other access methodsJDBC
ODBC
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
HTTP API
Jupyter
WebSocket
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infovia XQuery or JavaScriptyes infoWarpScript
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesselectable replication factor infobased on HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access control at the document and subdocument levelsMandatory use of cryptographic tokens, containing fine-grained authorizationsfine grained access rights according to SQL-standard

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More resources
Apache ImpalaMarkLogicWarp 10Yaacomo
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