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DBMS > Altibase vs. Apache Druid vs. Apache Impala vs. MarkLogic

System Properties Comparison Altibase vs. Apache Druid vs. Apache Impala vs. MarkLogic

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Druid  Xexclude from comparisonApache Impala  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic DBMS for HadoopOperational and transactional Enterprise NoSQL database
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
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
Websitealtibase.comdruid.apache.orgimpala.apache.orgwww.marklogic.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdruid.apache.org/­docs/­latest/­designimpala.apache.org/­impala-docs.htmldocs.marklogic.com
DeveloperAltibaseApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by ClouderaMarkLogic Corp.
Initial release1999201220132001
Current releasev7.3, 2023, August 202329.0.1, April 20244.1.0, June 202211.0, December 2022
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache license v2Open Source infoApache Version 2commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++C++
Server operating systemsAIX
HP-UX
Linux
Linux
OS X
Unix
LinuxLinux
OS X
Windows
Data schemeyesyes infoschema-less columns are supportedyesschema-free infoSchema can be enforced
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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL-92SQL for queryingSQL-like DML and DDL statementsyes infoSQL92
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
RESTful HTTP/JSON API
JDBC
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
Supported programming languagesC
C++
Java
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBCC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresstored procedures and stored functionsnoyes infouser defined functions and integration of map-reduceyes infovia XQuery or JavaScript
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infocan act as a resource manager in an XA/JTA transaction
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.yesnonoyes, with Range Indexes
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access control at the document and subdocument levels

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More resources
AltibaseApache DruidApache ImpalaMarkLogic
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