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DBMS > DataFS vs. Drizzle vs. Google BigQuery

System Properties Comparison DataFS vs. Drizzle vs. Google BigQuery

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle BigQuery  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Large scale data warehouse service with append-only tables
Primary database modelObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.01
Rank#376  Overall
#18  Object oriented DBMS
Score51.18
Rank#19  Overall
#13  Relational DBMS
Websitenewdatabase.comcloud.google.com/­bigquery
Technical documentationdev.mobiland.com/­Overview.xspcloud.google.com/­bigquery/­docs
DeveloperMobiland AGDrizzle project, originally started by Brian AkerGoogle
Initial release201820082010
Current release1.1.263, October 20227.2.4, September 2012
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsWindowsFreeBSD
Linux
OS X
hosted
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesnoyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JDBCRESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
VB.Net
C
C++
Java
PHP
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScript
Triggersno, except callback-events from server when changes happenedno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno 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.nono
User concepts infoAccess controlWindows-ProfilePluggable authentication mechanisms infoe.g. LDAP, HTTPAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)

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More resources
DataFSDrizzleGoogle BigQuery
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