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DBMS > Apache Drill vs. JaguarDB vs. Netezza vs. Snowflake vs. Teradata Aster

System Properties Comparison Apache Drill vs. JaguarDB vs. Netezza vs. Snowflake vs. Teradata Aster

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSnowflake  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
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 PureSystemsCloud-based data warehousing service for structured and semi-structured dataPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Relational DBMS
Key-value store
Vector DBMS
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#118  Overall
#23  Document stores
#56  Relational DBMS
Score0.06
Rank#372  Overall
#55  Key-value stores
#14  Vector DBMS
Score11.20
Rank#46  Overall
#29  Relational DBMS
Score125.38
Rank#9  Overall
#6  Relational DBMS
Websitedrill.apache.orgwww.jaguardb.comwww.ibm.com/­products/­netezzawww.snowflake.com
Technical documentationdrill.apache.org/­docswww.jaguardb.com/­support.htmldocs.snowflake.net/­manuals/­index.html
DeveloperApache Software FoundationDataJaguar, Inc.IBMSnowflake Computing Inc.Teradata
Initial release20122015200020142005
Current release1.20.3, January 20233.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL V3.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languages
Server operating systemsLinux
OS X
Windows
LinuxLinux infoincluded in appliancehostedLinux
Data schemeschema-freeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)Flexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.nonoyesyes infoin Aster File Store
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC++C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript (Node.js)
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functionsnoyesuser defined functionsR packages
Triggersnononono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesno
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 conceptUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standard

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More resources
Apache DrillJaguarDBNetezza infoAlso called PureData System for Analytics by IBMSnowflakeTeradata Aster
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Recent citations in the news

Apache Drill case study: A tutorial on processing CSV files
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How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime | Amazon Web Services
21 August 2019, AWS Blog

U.S. Navy Chooses Yellowbrick, Sunsets IBM Netezza
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Northwestern Analytics Partners with Teradata Aster to Host Hackathon
23 May 2014, Northwestern Engineering

Teradata Aster gets graph database, HDFS-compatible file store
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Teradata's Aster shows how the flowers of fraud bloom
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