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DBMS > Apache Drill vs. Apache Phoenix vs. Spark SQL vs. SWC-DB vs. Transbase

System Properties Comparison Apache Drill vs. Apache Phoenix vs. Spark SQL vs. SWC-DB vs. Transbase

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Phoenix  Xexclude from comparisonSpark SQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA scale-out RDBMS with evolutionary schema built on Apache HBaseSpark SQL is a component on top of 'Spark Core' for structured data processingA high performance, scalable Wide Column DBMSA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsTime Series DBMS
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
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.01
Rank#387  Overall
#13  Wide column stores
Score0.15
Rank#337  Overall
#147  Relational DBMS
Websitedrill.apache.orgphoenix.apache.orgspark.apache.org/­sqlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.transaction.de/­en/­products/­transbase.html
Technical documentationdrill.apache.org/­docsphoenix.apache.orgspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software FoundationApache Software FoundationApache Software FoundationAlex KashirinTransaction Software GmbH
Initial release20122014201420201987
Current release1.20.3, January 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20193.5.0 ( 2.13), September 20230.5, April 2021Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPL V3commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC++C and C++
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
Linux
OS X
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyesschema-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.nonononono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCJDBC
ODBC
Proprietary protocol
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC++C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java
Python
R
Scala
C++C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnonoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesnonono
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 PhoenixSpark SQLSWC-DB infoSuper Wide Column DatabaseTransbase
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