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DBMS > Google BigQuery vs. Heroic vs. Linter vs. OrigoDB vs. SWC-DB

System Properties Comparison Google BigQuery vs. Heroic vs. Linter vs. OrigoDB vs. SWC-DB

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHeroic  Xexclude from comparisonLinter  Xexclude from comparisonOrigoDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchRDBMS for high security requirementsA fully ACID in-memory object graph databaseA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Wide column store
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitecloud.google.com/­bigquerygithub.com/­spotify/­heroiclinter.ruorigodb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationcloud.google.com/­bigquery/­docsspotify.github.io/­heroicorigodb.com/­docs
DeveloperGoogleSpotifyrelex.ruRobert Friberg et alAlex Kashirin
Initial release2010201419902009 infounder the name LiveDB2020
Current release0.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C#C++
Server operating systemshostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Windows
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collections
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.nononono infocan be achieved using .NETno
Secondary indexesnoyes infovia Elasticsearchyesyes
SQL infoSupport of SQLyesnoyesnoSQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
.NET Client API
HTTP API
LINQ
Proprietary protocol
Thrift
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.NetC++
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoyes infoproprietary syntax with the possibility to convert from PL/SQLyesno
Triggersnonoyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardRole based authorization

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More resources
Google BigQueryHeroicLinterOrigoDBSWC-DB infoSuper Wide Column Database
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