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DBMS > Apache Kylin vs. Google Cloud Datastore vs. Snowflake

System Properties Comparison Apache Kylin vs. Google Cloud Datastore vs. Snowflake

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGoogle Cloud Datastore  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 stackAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#160  Overall
#80  Relational DBMS
Score4.68
Rank#77  Overall
#11  Document stores
Score34.75
Rank#26  Overall
#16  Relational DBMS
Websitekylin.apache.orgcloud.google.com/­datastorewww.snowflake.com
Technical documentationkylin.apache.org/­docscloud.google.com/­datastore/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperApache Software Foundation, originally contributed from eBay IncGoogleSnowflake Computing Inc.
Initial release201520082014
Current release3.1.0, July 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinuxhostedhosted
Data schemeyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyes, details hereyes
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.nonoyes
Secondary indexesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query language (GQL)yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
CLI Client
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresusing Google App Engineuser defined functions
TriggersCallbacks using the Google Apps Engineno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Apache KylinGoogle Cloud DatastoreSnowflake
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