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DBMS > Amazon Aurora vs. CrateDB vs. EXASOL vs. Snowflake

System Properties Comparison Amazon Aurora vs. CrateDB vs. EXASOL vs. Snowflake

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCrateDB  Xexclude from comparisonEXASOL  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDistributed Date Store based on LuceneHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Cloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSRelational DBMS
Search engine
Relational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.76
Rank#45  Overall
#28  Relational DBMS
Score0.79
Rank#183  Overall
#92  Relational DBMS
#12  Search engines
Score3.40
Rank#88  Overall
#45  Relational DBMS
Score2.59
Rank#107  Overall
#53  Relational DBMS
Websiteaws.amazon.com/­rds/­auroracrate.iowww.exasol.com/­en/­productswww.snowflake.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlcrate.io/­docswww.exasol.com/­en/­community/­resourcesdocs.snowflake.net/­manuals/­index.html
DeveloperAmazonCrateExasolSnowflake Computing Inc.
Initial release2015201320002014
License infoCommercial or Open SourcecommercialOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedAll OS with a Java 7 (and higher) VMhosted
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes 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.yesnonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyes, but no triggers and constraintsyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
CLI Client
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
Java
Lua
Python
R
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functionsuser defined functions
Triggersyesnoyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
Amazon AuroraCrateDBEXASOLSnowflake
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more

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More resources
Amazon AuroraCrateDBEXASOLSnowflake
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