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DBMS > Amazon Redshift vs. Apache Pinot vs. Fauna vs. Snowflake vs. Tkrzw

System Properties Comparison Amazon Redshift vs. Apache Pinot vs. Fauna vs. Snowflake vs. Tkrzw

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Pinot  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonSnowflake  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Cloud-based data warehousing service for structured and semi-structured dataA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websiteaws.amazon.com/­redshiftpinot.apache.orgfauna.comwww.snowflake.comdbmx.net/­tkrzw
Technical documentationdocs.aws.amazon.com/­redshiftdocs.pinot.apache.orgdocs.fauna.comdocs.snowflake.net/­manuals/­index.html
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation and contributorsFauna, Inc.Snowflake Computing Inc.Mikio Hirabayashi
Initial release20122015201420142020
Current release1.0.0, September 20230.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaScalaC++
Server operating systemshostedAll OS with a Java JDK11 or higherhostedhostedLinux
macOS
Data schemeyesyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.nonoyesno
Secondary indexesrestrictedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like query languagenoyesno
APIs and other access methodsJDBC
ODBC
JDBCRESTful HTTP APICLI Client
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
Python
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functionsuser defined functionsno
Triggersnonono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioninghorizontal partitioning infoconsistent hashingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.yesnonoyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardIdentity management, authentication, and access controlUsers with fine-grained authorization concept, user roles and pluggable authenticationno

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More resources
Amazon RedshiftApache PinotFauna infopreviously named FaunaDBSnowflakeTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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