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DBMS > Apache Drill vs. Apache Phoenix vs. BigObject vs. Citus

System Properties Comparison Apache Drill vs. Apache Phoenix vs. BigObject vs. Citus

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Phoenix  Xexclude from comparisonBigObject  Xexclude from comparisonCitus  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA scale-out RDBMS with evolutionary schema built on Apache HBaseAnalytic DBMS for real-time computations and queriesScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQL
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score0.13
Rank#342  Overall
#150  Relational DBMS
Score2.15
Rank#123  Overall
#60  Relational DBMS
Websitedrill.apache.orgphoenix.apache.orgbigobject.iowww.citusdata.com
Technical documentationdrill.apache.org/­docsphoenix.apache.orgdocs.bigobject.iodocs.citusdata.com
DeveloperApache Software FoundationApache Software FoundationBigObject, Inc.
Initial release2012201420152010
Current release1.20.3, January 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20198.1, December 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoAGPL, commercial license also available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyesyes
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 infospecific XML type available, but no XML query functionality
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesSQL-like DML and DDL statementsyes infostandard, with numerous extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsLuauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyes infoautomatically between fact table and dimension tablesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/write lock on objects (tables, trees)yes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyesno
User concepts infoAccess controlDepending on the underlying data sourceAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynofine grained access rights according to SQL-standard

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More resources
Apache DrillApache PhoenixBigObjectCitus
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