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DBMS > Google BigQuery vs. LevelDB vs. NuoDB vs. openGauss vs. Ultipa

System Properties Comparison Google BigQuery vs. LevelDB vs. NuoDB vs. openGauss vs. Ultipa

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonLevelDB  Xexclude from comparisonNuoDB  Xexclude from comparisonopenGauss  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesNuoDB is a webscale distributed database that supports SQL and ACID transactionsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitecloud.google.com/­bigquerygithub.com/­google/­leveldbwww.3ds.com/­nuodb-distributed-sql-databasegitee.com/­opengauss
opengauss.org
www.ultipa.com
Technical documentationcloud.google.com/­bigquery/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddoc.nuodb.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.ultipa.com/­document
DeveloperGoogleGoogleDassault Systèmes infooriginally NuoDB, Inc.Huawei and openGauss communityUltipa
Initial release20102011201320192019
Current release1.23, February 20213.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercial infolimited edition freeOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C, C++, Java
Server operating systemshostedIllumos
Linux
OS X
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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
Secondary indexesnonoyesyes
SQL infoSupport of SQLyesnoyesANSI SQL 2011
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoJava, SQLyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonedata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoManaged transparently by NuoDBSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTemporary tableno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)noStandard SQL roles/ privileges, Administrative UsersAccess rights for users, groups and roles according to SQL-standard

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More resources
Google BigQueryLevelDBNuoDBopenGaussUltipa
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