DBMS > OpenTenBase vs. RavenDB vs. TempoIQ vs. VelocityDB

System Properties Comparison OpenTenBase vs. RavenDB vs. TempoIQ vs. VelocityDB

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Editorial information provided by DB-Engines

Name

TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.

Description

An enterprise-level distributed HTAP open source database based on PostgreSQL

Open Source Operational and Transactional Enterprise NoSQL Document Database

Scalable analytics DBMS for sensor data, provided as a service (SaaS)

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

Primary database model

Relational DBMS

Document store

Time Series DBMS

Graph DBMS
Object oriented DBMS

Secondary database models

Graph DBMS
Spatial DBMS
Time Series DBMS

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

Score	0.08
Rank	#370	Overall
	#156	Relational DBMS

Score	2.84
Rank	#101	Overall
	#18	Document stores

Score	0.11
Rank	#354	Overall
	#37	Graph DBMS
	#16	Object oriented DBMS

Website

github.com/OpenTenBase/OpenTenBase
www.opentenbase.org

ravendb.net

tempoiq.com (offline)

velocitydb.com

Technical documentation

docs.opentenbase.org
docs.opentenbase.org/en

ravendb.net/docs

velocitydb.com/UserGuide

Developer

OpenAtom Foundation, previously Tencent

Hibernating Rhinos

TempoIQ

VelocityDB Inc

Initial release

2010

2012

2011

Current release

2.5, January 2024

5.4, July 2022

7.x

License

Commercial or Open Source

Open Source

BSD-3

Open Source

AGPL version 3, commercial license available

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

Server operating systems

Linux

Linux
macOS
Raspberry Pi
Windows

Any that supports .NET

Data scheme

yes

schema-free

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.

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like query language (RQL)

APIs and other access methods

.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API

HTTP API

.Net

Supported programming languages

C
Go
Java
PHP
Python

.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

C#
Java
JavaScript

Node.js
Python
Ruby

.Net

Server-side scripts

Stored procedures

yes

Triggers

yes

Realtime Alerts

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

ACID, Cluster-wide transaction available

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

Access rights for users, groups and roles according to SQL-standard

Authorization levels configured per client per database

simple authentication-based access control

Based on Windows Authentication

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