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DBMS > Drizzle vs. Google BigQuery vs. Kinetica vs. PieCloudDB

System Properties Comparison Drizzle vs. Google BigQuery vs. Kinetica vs. PieCloudDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonKinetica  Xexclude from comparisonPieCloudDB  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Large scale data warehouse service with append-only tablesFully vectorized database across both GPUs and CPUsA cloud-native analytic database platform with new technologoy for elastic MPP
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.32
Rank#289  Overall
#133  Relational DBMS
Websitecloud.google.com/­bigquerywww.kinetica.comwww.openpie.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.kinetica.com
DeveloperDrizzle project, originally started by Brian AkerGoogleKineticaOpenPie
Initial release200820102012
Current release7.2.4, September 20127.1, August 20212.1, January 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++
Server operating systemsFreeBSD
Linux
OS X
hostedLinuxhosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesSQL-like DML and DDL statementsyes
APIs and other access methodsJDBCRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Java
PL/SQL
Python
R
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptuser defined functionsuser defined functions
Triggersno infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users and roles on table levelUser Roles and pluggable authentication with full SQL Standard
More information provided by the system vendor
DrizzleGoogle BigQueryKineticaPieCloudDB
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
DrizzleGoogle BigQueryKineticaPieCloudDB
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