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DBMS > Amazon Redshift vs. Blueflood vs. Graphite vs. Snowflake vs. Spark SQL

System Properties Comparison Amazon Redshift vs. Blueflood vs. Graphite vs. Snowflake vs. Spark SQL

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBlueflood  Xexclude from comparisonGraphite  Xexclude from comparisonSnowflake  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsScalable TimeSeries DBMS based on CassandraData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperCloud-based data warehousing service for structured and semi-structured dataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­redshiftblueflood.iogithub.com/­graphite-project/­graphite-webwww.snowflake.comspark.apache.org/­sql
Technical documentationdocs.aws.amazon.com/­redshiftgithub.com/­rax-maas/­blueflood/­wikigraphite.readthedocs.iodocs.snowflake.net/­manuals/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazon (based on PostgreSQL)RackspaceChris DavisSnowflake Computing Inc.Apache Software Foundation
Initial release20122013200620142014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaPythonScala
Server operating systemshostedLinux
OS X
Linux
Unix
hostedLinux
OS X
Windows
Data schemeyespredefined schemeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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.nononoyesno
Secondary indexesrestrictednonono
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnonoyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
HTTP RESTHTTP API
Sockets
CLI Client
JDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnonouser defined functionsno
Triggersnononono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandranoneyesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandranoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoUsers with fine-grained authorization concept, user roles and pluggable authenticationno

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More resources
Amazon RedshiftBluefloodGraphiteSnowflakeSpark SQL
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