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DBMS > Apache Kylin vs. Fauna vs. Google BigQuery

System Properties Comparison Apache Kylin vs. Fauna vs. Google BigQuery

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGoogle BigQuery  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.Large scale data warehouse service with append-only tables
Primary database modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.35
Rank#180  Overall
#84  Relational DBMS
Score1.80
Rank#156  Overall
#28  Document stores
#14  Graph DBMS
#73  Relational DBMS
#13  Time Series DBMS
Score63.63
Rank#19  Overall
#13  Relational DBMS
Websitekylin.apache.orgfauna.comcloud.google.com/­bigquery
Technical documentationkylin.apache.org/­docsdocs.fauna.comcloud.google.com/­bigquery/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncFauna, Inc.Google
Initial release201520142010
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

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Implementation languageJavaScala
Server operating systemsLinuxhostedhosted
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIRESTful HTTP/JSON API
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin JavaScript
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying data
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 controlIdentity management, authentication, and access controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)

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More resources
Apache KylinFauna infopreviously named FaunaDBGoogle BigQuery
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