DBMS > BigchainDB vs. DuckDB vs. GeoMesa vs. Snowflake vs. VelocityDB

System Properties Comparison BigchainDB vs. DuckDB vs. GeoMesa vs. Snowflake vs. VelocityDB

Editorial information provided by DB-Engines

Name

Description

BigchainDB is scalable blockchain database offering decentralization, immutability and native assets

An embeddable, in-process, column-oriented SQL OLAP RDBMS

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

Cloud-based data warehousing service for structured and semi-structured data

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

Primary database model

Graph DBMS
Object oriented DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.79
Rank	#212	Overall
	#36	Document stores

Score	4.57
Rank	#74	Overall
	#40	Relational DBMS

Score	0.78
Rank	#213	Overall
	#4	Spatial DBMS

Score	121.33
Rank	#9	Overall
	#6	Relational DBMS

Score	0.05
Rank	#358	Overall
	#36	Graph DBMS
	#16	Object oriented DBMS

Website

Technical documentation

bigchaindb.readthedocs.io/en/latest

duckdb.org/docs

www.geomesa.org/documentation/stable/user/index.html

docs.snowflake.net/manuals/index.html

velocitydb.com/UserGuide

Developer

CCRi and others

Snowflake Computing Inc.

VelocityDB Inc

Initial release

2016

2018

2014

2011

Current release

0.10, February 2024

4.0.5, February 2024

7.x

License

Commercial or Open Source

Open Source

AGPL v3

Open Source

MIT License

Open Source

Apache License 2.0

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Python

C++

Scala

Server operating systems

Linux

server-less

hosted

Any that supports .NET

Data scheme

schema-free

yes

support of semi-structured data formats (JSON, XML, Avro)

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

CLI Client
RESTful HTTP API

Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC

CLI Client
JDBC
ODBC

.Net

Supported programming languages

Go
Haskell
Java
JavaScript
Python
Ruby

C
C#

3rd party driver
C++
Crystal

3rd party driver
Go

3rd party driver
Java
Lisp

3rd party driver
Python
R
Ruby

3rd party driver
Rust
Swift
Zig

3rd party driver

JavaScript (Node.js)
Python

.Net

Server-side scripts

Stored procedures

user defined functions

Triggers

similar concept for controling cloud resources

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

depending on storage layer

yes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

none

depending on storage layer

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

depending on storage layer

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes,with MongoDB ord RethinkDB

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

depending on storage layer

yes

User concepts

Access control

yes

depending on the DBMS used for storage

Users with fine-grained authorization concept, user roles and pluggable authentication

Based on Windows Authentication

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