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DBMS > Apache Drill vs. JaguarDB vs. Netezza vs. PostgreSQL vs. Snowflake

System Properties Comparison Apache Drill vs. JaguarDB vs. Netezza vs. PostgreSQL vs. Snowflake

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StoragePerformant, highly scalable DBMS for AI and IoT applicationsData warehouse and analytics appliance part of IBM PureSystemsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store
Relational DBMS
Key-value store
Vector DBMS
Relational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score0.09
Rank#356  Overall
#53  Key-value stores
#13  Vector DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score645.05
Rank#4  Overall
#4  Relational DBMS
Score123.20
Rank#9  Overall
#6  Relational DBMS
Websitedrill.apache.orgwww.jaguardb.comwww.ibm.com/­products/­netezzawww.postgresql.orgwww.snowflake.com
Technical documentationdrill.apache.org/­docswww.jaguardb.com/­support.htmlwww.postgresql.org/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperApache Software FoundationDataJaguar, Inc.IBMPostgreSQL Global Development Group infowww.postgresql.org/­developerSnowflake Computing Inc.
Initial release2012201520001989 info1989: Postgres, 1996: PostgreSQL2014
Current release1.20.3, January 20233.3 July 202316.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL V3.0commercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageC++ infothe server part. Clients available in other languagesC
Server operating systemsLinux
OS X
Windows
LinuxLinux infoincluded in applianceFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
hosted
Data schemeschema-freeyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyes infostandard with numerous extensionsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
JDBC
ODBC
Supported programming languagesC++C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions
Triggersnononoyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hashyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
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 sourcenonono
User concepts infoAccess controlDepending on the underlying data sourcerights management via user accountsUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Apache DrillJaguarDBNetezza infoAlso called PureData System for Analytics by IBMPostgreSQLSnowflake
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