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DBMS > Bangdb vs. Google BigQuery vs. Oracle NoSQL

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

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonOracle NoSQL  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphLarge scale data warehouse service with append-only tablesA 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 modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#332  Overall
#45  Document stores
#34  Graph DBMS
#29  Time Series DBMS
Score48.61
Rank#23  Overall
#15  Relational DBMS
Score4.74
Rank#82  Overall
#15  Document stores
#13  Key-value stores
#44  Relational DBMS
Websitebangdb.comcloud.google.com/­bigquerywww.oracle.com/­database/­technologies/­related/­nosql.html
Technical documentationbangdb.com/­developercloud.google.com/­bigquery/­docsdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperSachin Sinha, BangDBGoogleOracle
Initial release201220102011
Current releaseBangDB 2.0, October 202122.1, May 2022
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java
Server operating systemsLinuxhostedLinux
Solaris SPARC/x86
Data schemeschema-freeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesoptional
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.nonono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyes
SQL infoSupport of SQLSQL like support with command line toolyesSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP/JSON APIRESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptno
Triggersyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Electable 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 systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenoyes infooff heap cache
User concepts infoAccess controlyes (enterprise version only)Access 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
BangdbGoogle BigQueryOracle NoSQL
Specific characteristicsBangDB is a converged NoSql database platform which natively integrated streaming,...
» more
Competitive advantagesConverged Platform to break silos for higher scale and performance BangDB is a novel...
» more
Typical application scenariosIOT and time series data monitoring Devops, servers, network monitoring Real-Time...
» more
Key customersCisco, Accenture, Opera, Airpay, CtrlS, makemytrip, wine central, over 150 SaaS customers
» more
Market metricsBangDB is one of the fastest databases in the marke with over 2X performance over...
» more
Licensing and pricing modelsBangDB community and enterprise model. Details at https://bangdb.com/pricing/
» more

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More resources
BangdbGoogle BigQueryOracle NoSQL
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