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DBMS > Apache Drill vs. Postgres-XL vs. Snowflake vs. Teradata Aster

System Properties Comparison Apache Drill vs. Postgres-XL vs. Snowflake vs. Teradata Aster

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonPostgres-XL  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 StorageBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresCloud-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
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitedrill.apache.orgwww.postgres-xl.orgwww.snowflake.com
Technical documentationdrill.apache.org/­docswww.postgres-xl.org/­documentationdocs.snowflake.net/­manuals/­index.html
DeveloperApache Software FoundationSnowflake Computing Inc.Teradata
Initial release20122014 infosince 2012, originally named StormDB20142005
Current release1.20.3, January 202310 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMozilla public licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemsLinux
OS X
Windows
Linux
macOS
hostedLinux
Data schemeschema-freeyesyes 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 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.noyes infoXML type, but no XML query functionalityyesyes infoin Aster File Store
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyes infodistributed, parallel query executionyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC++.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript (Node.js)
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsuser defined functionsR packages
Triggersnoyesno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes 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 methodsyesnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCACIDACID
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 sourcenonono
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standard

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More resources
Apache DrillPostgres-XLSnowflakeTeradata Aster
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