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DBMS > Apache Kylin vs. Fauna vs. Microsoft Azure Synapse Analytics vs. NuoDB vs. Snowflake

System Properties Comparison Apache Kylin vs. Fauna vs. Microsoft Azure Synapse Analytics vs. NuoDB vs. Snowflake

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNuoDB  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackFauna 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.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerNuoDB is a webscale distributed database that supports SQL and ACID transactionsCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.26
Rank#175  Overall
#81  Relational DBMS
Score1.63
Rank#155  Overall
#28  Document stores
#14  Graph DBMS
#70  Relational DBMS
#13  Time Series DBMS
Score23.95
Rank#30  Overall
#18  Relational DBMS
Score0.94
Rank#207  Overall
#96  Relational DBMS
Score125.38
Rank#9  Overall
#6  Relational DBMS
Websitekylin.apache.orgfauna.comazure.microsoft.com/­services/­synapse-analyticswww.3ds.com/­nuodb-distributed-sql-databasewww.snowflake.com
Technical documentationkylin.apache.org/­docsdocs.fauna.comdocs.microsoft.com/­azure/­synapse-analyticsdoc.nuodb.comdocs.snowflake.net/­manuals/­index.html
DeveloperApache Software Foundation, originally contributed from eBay IncFauna, Inc.MicrosoftDassault Systèmes infooriginally NuoDB, Inc.Snowflake Computing Inc.
Initial release20152014201620132014
Current release3.1.0, July 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaC++C++
Server operating systemsLinuxhostedhostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
hosted
Data schemeyesschema-freeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyesyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
CLI Client
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
Java
PHP
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsTransact SQLJava, SQLuser defined functions
Triggersnonoyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingSharding, horizontal partitioningdata is dynamically stored/cached on the nodes where it is read/writtenyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyes infoManaged transparently by NuoDByes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
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.nonoyes infoTemporary tableno
User concepts infoAccess controlIdentity management, authentication, and access controlyesStandard SQL roles/ privileges, Administrative UsersUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Apache KylinFauna infopreviously named FaunaDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNuoDBSnowflake
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