DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > BigchainDB vs. Cubrid vs. EsgynDB vs. GeoMesa

System Properties Comparison BigchainDB vs. Cubrid vs. EsgynDB vs. GeoMesa

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonCubrid  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeoMesa  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.
Primary database modelDocument storeRelational DBMSRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Websitewww.bigchaindb.comcubrid.com (korean)
cubrid.org (english)
www.esgyn.cnwww.geomesa.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestcubrid.org/­manualswww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperCUBRID Corporation, CUBRID FoundationEsgynCCRi and others
Initial release2016200820152014
Current release11.0, January 20214.0.5, February 2024
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2.0commercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC, C++, JavaC++, JavaScala
Server operating systemsLinuxLinux
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresJava Stored ProceduresJava Stored Proceduresno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingdepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replication between multi datacentersdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on storage layer
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonodepending on storage layer
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storage

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BigchainDBCubridEsgynDBGeoMesa
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Recent citations in the news

Exploring the 10 BEST Python Libraries for Blockchain Applications
9 September 2023, DataDrivenInvestor

An Introduction to BigchainDB, a Popular Blockchain Database
17 September 2020, Open Source For You

Blockchain Database Startup BigchainDB Raises €3 Million
27 September 2016, CoinDesk

Using BigchainDB: A Database with Blockchain Characteristics
20 January 2022, Open Source For You

What is BigchainDB Technology & How it works and the Characteristics?
26 August 2017, Blockchain Council

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

SingleStore logo

Database for your real-time AI and Analytics Apps.
Try it today.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here