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DBMS > Apache Drill vs. Apache Phoenix vs. DataFS vs. Snowflake

System Properties Comparison Apache Drill vs. Apache Phoenix vs. DataFS vs. Snowflake

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Phoenix  Xexclude from comparisonDataFS  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA scale-out RDBMS with evolutionary schema built on Apache HBaseAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Cloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store
Relational DBMS
Relational DBMSObject oriented DBMSRelational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitedrill.apache.orgphoenix.apache.orgnewdatabase.comwww.snowflake.com
Technical documentationdrill.apache.org/­docsphoenix.apache.orgdev.mobiland.com/­Overview.xspdocs.snowflake.net/­manuals/­index.html
DeveloperApache Software FoundationApache Software FoundationMobiland AGSnowflake Computing Inc.
Initial release2012201420182014
Current release1.20.3, January 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20191.1.263, October 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
Windowshosted
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes infosupport of semi-structured data formats (JSON, XML, Avro)
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 indexesnoyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC.NET Client API
Proprietary client DLL
WinRT client
CLI Client
JDBC
ODBC
Supported programming languagesC++C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
VB.Net
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsuser defined functions
Triggersnonono, except callback-events from server when changes happenedno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingProprietary Sharding systemyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
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 integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 sourceyesnono
User concepts infoAccess controlDepending on the underlying data sourceAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyWindows-ProfileUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Apache DrillApache PhoenixDataFSSnowflake
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Recent citations in the news

Apache Drill case study: A tutorial on processing CSV files
9 June 2016, TheServerSide.com

Analyse Kafka messages with SQL queries using Apache Drill
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