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DBMS > Apache Kylin vs. Lovefield vs. Microsoft Azure Synapse Analytics vs. Snowflake vs. Transwarp StellarDB

System Properties Comparison Apache Kylin vs. Lovefield vs. Microsoft Azure Synapse Analytics vs. Snowflake vs. Transwarp StellarDB

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSnowflake  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackEmbeddable relational database for web apps written in pure JavaScriptElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerCloud-based data warehousing service for structured and semi-structured dataA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#175  Overall
#80  Relational DBMS
Score0.32
Rank#290  Overall
#132  Relational DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score123.20
Rank#9  Overall
#6  Relational DBMS
Score0.07
Rank#361  Overall
#38  Graph DBMS
Websitekylin.apache.orggoogle.github.io/­lovefieldazure.microsoft.com/­services/­synapse-analyticswww.snowflake.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationkylin.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­azure/­synapse-analyticsdocs.snowflake.net/­manuals/­index.html
DeveloperApache Software Foundation, originally contributed from eBay IncGoogleMicrosoftSnowflake Computing Inc.Transwarp
Initial release2015201420162014
Current release3.1.0, July 20202.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC++
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihostedhosted
Data schemeyesyesyesyes 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.nononoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query language infovia JavaScript builder patternyesyesSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
CLI Client
JDBC
ODBC
OpenCypher
Supported programming languagesJavaScriptC#
Java
PHP
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoTransact SQLuser defined functions
TriggersUsing read-only observersnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningyeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDBno
User concepts infoAccess controlnoyesUsers with fine-grained authorization concept, user roles and pluggable authenticationyes

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More resources
Apache KylinLovefieldMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSnowflakeTranswarp StellarDB
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