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DBMS > Bangdb vs. CockroachDB vs. Oracle NoSQL

System Properties Comparison Bangdb vs. CockroachDB vs. Oracle NoSQL

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCockroachDB  Xexclude from comparisonOracle NoSQL  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A 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
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Websitebangdb.comwww.cockroachlabs.comwww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationdocs.bangdb.comwww.cockroachlabs.com/­docsdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperSachin Sinha, BangDBCockroach LabsOracle
Initial release201220152011
Current releaseBangDB 2.0, October 202123.1.1, May 202323.3, December 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0, commercial license availableOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++GoJava
Server operating systemsLinuxLinux
macOS
Windows
Linux
Solaris SPARC/x86
Data schemeschema-freedynamic schemaSupport 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, geospatialyesyes
SQL infoSupport of SQLSQL like support with command line toolyes, wire compatible with PostgreSQLSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBCRESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono
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 algorithmhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication using RAFTElectable 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 integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDconfigurable 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)Role-based access controlAccess rights for users and roles

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More resources
BangdbCockroachDBOracle NoSQL
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