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DBMS > Google BigQuery vs. Kyligence Enterprise vs. OrigoDB vs. Riak KV

System Properties Comparison Google BigQuery vs. Kyligence Enterprise vs. OrigoDB vs. Riak KV

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonOrigoDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA distributed analytics engine for big data, built on top of Apache KylinA fully ACID in-memory object graph databaseDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitecloud.google.com/­bigquerykyligence.io/­kyligence-enterpriseorigodb.com
Technical documentationcloud.google.com/­bigquery/­docsorigodb.com/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperGoogleKyligence, Inc.Robert Friberg et alOpenSource, formerly Basho Technologies
Initial release201020162009 infounder the name LiveDB2009
Current release3.2.0, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#Erlang
Server operating systemshostedLinuxLinux
Windows
Linux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsno
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 infocan be achieved using .NETno
Secondary indexesnoyesyesrestricted
SQL infoSupport of SQLyesANSI SQL for queries (using Apache Calcite)nono
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
HTTP API
Native Erlang Interface
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.NetC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesErlang
Triggersnoyes infoDomain Eventsyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynodepending on modelno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Role based authorizationyes, using Riak Security

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More resources
Google BigQueryKyligence EnterpriseOrigoDBRiak KV
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