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DBMS > Apache Doris vs. Apache Druid vs. MaxDB vs. Splice Machine

System Properties Comparison Apache Doris vs. Apache Druid vs. MaxDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Druid  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA robust and reliable RDBMS optimized to run all major SAP solutionsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
druid.apache.orgmaxdb.sap.comsplicemachine.com
Technical documentationgithub.com/­apache/­doris/­wikidruid.apache.org/­docs/­latest/­designmaxdb.sap.com/­documentationsplicemachine.com/­how-it-works
DeveloperApache Software Foundation, originally contributed from BaiduApache Software Foundation and contributorsSAP, acquired from Software AG (Adabas-D) in 1997Splice Machine
Initial release2017201219842014
Current release1.2.2, February 202329.0.1, April 20247.9.10.12, February 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache license v2commercial infoLimited community edition freeOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Java
Server operating systemsLinuxLinux
OS X
Unix
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyes infoschema-less columns are supportedyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL for queryingyesyes
APIs and other access methodsJDBC
MySQL client
JDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
WebDAV
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C#
Java
Perl
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyesyes infoJava
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infomanual/auto, time-basednoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, via HDFS, S3 or other storage enginesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.nononoyes
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 systemfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache DorisApache DruidMaxDB infoformerly named Adabas-DSplice Machine
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