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DBMS > BigchainDB vs. CockroachDB vs. GBase vs. OrigoDB vs. TimesTen

System Properties Comparison BigchainDB vs. CockroachDB vs. GBase vs. OrigoDB vs. TimesTen

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonGBase  Xexclude from comparisonOrigoDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCockroachDB 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.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A fully ACID in-memory object graph databaseAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelDocument storeRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#216  Overall
#36  Document stores
Score4.74
Rank#67  Overall
#36  Relational DBMS
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.bigchaindb.comwww.cockroachlabs.comwww.gbase.cnorigodb.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.cockroachlabs.com/­docsorigodb.com/­docsdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperCockroach LabsGeneral Data Technology Co., Ltd.Robert Friberg et alOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2016201520042009 infounder the name LiveDB1998
Current release24.1.0, May 2024GBase 8a, GBase 8s, GBase 8cRelease 22.1
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache 2.0, commercial license availablecommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonGoC, Java, PythonC#
Server operating systemsLinuxLinux
macOS
Windows
LinuxLinux
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeschema-freedynamic schemayesyesyes
Typing infopredefined data types such as float or datenoyesyesUser defined using .NET types and collectionsyes
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.nonoyesno infocan be achieved using .NETno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLStandard with numerous extensionsnoyes
APIs and other access methodsCLI Client
RESTful HTTP API
JDBCADO.NET
C API
JDBC
ODBC
.NET Client API
HTTP API
LINQ
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#.NetC
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnouser defined functionsyesPL/SQL
Triggersnoyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal 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 RAFThorizontal partitioning (by range, list and hash) and vertical partitioninghorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using RAFTyesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesdepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infoWrite ahead logyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlyesRole-based access controlyesRole based authorizationfine grained access rights according to SQL-standard

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More resources
BigchainDBCockroachDBGBaseOrigoDBTimesTen
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