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DBMS > Google BigQuery vs. LeanXcale vs. Oracle NoSQL

System Properties Comparison Google BigQuery vs. LeanXcale vs. Oracle NoSQL

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonLeanXcale  Xexclude from comparisonOracle NoSQL  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.61
Rank#23  Overall
#15  Relational DBMS
Score0.18
Rank#292  Overall
#42  Key-value stores
#136  Relational DBMS
Score4.74
Rank#82  Overall
#15  Document stores
#13  Key-value stores
#44  Relational DBMS
Websitecloud.google.com/­bigquerywww.leanxcale.comwww.oracle.com/­database/­technologies/­related/­nosql.html
Technical documentationcloud.google.com/­bigquery/­docsdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperGoogleLeanXcaleOracle
Initial release201020152011
Current release22.1, May 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedLinux
Solaris SPARC/x86
Data schemeyesyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesoptional
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 indexesnoyes
SQL infoSupport of SQLyesyes infothrough Apache DerbySQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP/JSON APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
Java
Scala
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDconfigurable infoACID within a storage node (=shard)
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.noyesyes infooff heap cache
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users and roles
More information provided by the system vendor
Google BigQueryLeanXcaleOracle NoSQL
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesLinear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metrics15 beta testers
» more
Licensing and pricing modelsannual fee covering license and support based on number of physical cores
» more

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More resources
Google BigQueryLeanXcaleOracle NoSQL
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