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DBMS > Google BigQuery vs. Transwarp Hippo

System Properties Comparison Google BigQuery vs. Transwarp Hippo

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Our visitors often compare Google BigQuery and Transwarp Hippo with Pinecone and Apache Spark (SQL).

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score51.18
Rank#19  Overall
#13  Relational DBMS
Score0.00
Rank#388  Overall
#18  Vector DBMS
Websitecloud.google.com/­bigquerywww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationcloud.google.com/­bigquery/­docs
DeveloperGoogle
Initial release20102023
Current release1.0, May 2023
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinux
macOS
Data schemeyes
Typing infopredefined data types such as float or dateyesVector, Numeric and String
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 SQLyesno
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Java
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
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.noyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Role based access control and fine grained access rights

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More resources
Google BigQueryTranswarp Hippo
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