DBMS > Databend vs. STSdb vs. VelocityDB

System Properties Comparison Databend vs. STSdb vs. VelocityDB

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Editorial information provided by DB-Engines

Name

Description

An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexity

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

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

Primary database model

Relational DBMS

Key-value store

Graph DBMS
Object oriented DBMS

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

Score	0.24
Rank	#292	Overall
	#131	Relational DBMS

Score	0.03
Rank	#360	Overall
	#54	Key-value stores

Score	0.00
Rank	#379	Overall
	#40	Graph DBMS
	#20	Object oriented DBMS

Website

github.com/datafuselabs/databend
www.databend.com

github.com/STSSoft/STSdb4

velocitydb.com

Technical documentation

docs.databend.com

velocitydb.com/UserGuide

Developer

Databend Labs

STS Soft SC

VelocityDB Inc

Initial release

2021

2011

Current release

1.0.59, April 2023

4.0.8, September 2015

7.x

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

GPLv2, commercial license available

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Rust

Server operating systems

hosted
Linux
macOS

Windows

Any that supports .NET

Data scheme

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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.

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

CLI Client
JDBC
RESTful HTTP API

.NET Client API

.Net

Supported programming languages

Go
Java
JavaScript (Node.js)
Python
Rust

C#
Java

.Net

Server-side scripts

Stored procedures

Triggers

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes

User concepts

Access control

Users with fine-grained authorization concept, user roles

Based on Windows Authentication

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