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DBMS > Apache Pinot vs. Google BigQuery vs. Yanza

System Properties Comparison Apache Pinot vs. Google BigQuery vs. Yanza

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyLarge scale data warehouse service with append-only tablesTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#263  Overall
#121  Relational DBMS
Score54.89
Rank#19  Overall
#13  Relational DBMS
Websitepinot.apache.orgcloud.google.com/­bigqueryyanza.com
Technical documentationdocs.pinot.apache.orgcloud.google.com/­bigquery/­docs
DeveloperApache Software Foundation and contributorsGoogleYanza
Initial release201520102015
Current release1.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesno infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsAll OS with a Java JDK11 or higherhostedWindows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesnono
SQL infoSupport of SQLSQL-like query languageyesno
APIs and other access methodsJDBCRESTful HTTP/JSON APIHTTP API
Supported programming languagesGo
Java
Python
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptno
Triggersnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datano
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)no

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More resources
Apache PinotGoogle BigQueryYanza
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