DBMS > Graph Engine vs. Newts vs. OpenTenBase vs. RavenDB

System Properties Comparison Graph Engine vs. Newts vs. OpenTenBase vs. RavenDB

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Editorial information provided by DB-Engines

Name

Description

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

Time Series DBMS based on Cassandra

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

Open Source Operational and Transactional Enterprise NoSQL Document Database

Primary database model

Graph DBMS
Key-value store

Time Series DBMS

Relational DBMS

Document store

Secondary database models

Graph DBMS
Spatial DBMS
Time Series DBMS

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

Score	0.67
Rank	#232	Overall
	#21	Graph DBMS
	#34	Key-value stores

Score	0.07
Rank	#375	Overall
	#41	Time Series DBMS

Score	0.08
Rank	#370	Overall
	#156	Relational DBMS

Score	2.84
Rank	#101	Overall
	#18	Document stores

Website

www.graphengine.io

opennms.github.io/newts

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

ravendb.net

Technical documentation

www.graphengine.io/docs/manual

github.com/OpenNMS/newts/wiki

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

ravendb.net/docs

Developer

Microsoft

OpenNMS Group

OpenAtom Foundation, previously Tencent

Hibernating Rhinos

Initial release

2010

2014

2010

Current release

2.5, January 2024

5.4, July 2022

License

Commercial or Open Source

Open Source

MIT License

Open Source

Apache 2.0

Open Source

BSD-3

Open Source

AGPL version 3, commercial license available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

.NET and C

Java

Server operating systems

.NET

Linux
OS X
Windows

Linux

Linux
macOS
Raspberry Pi
Windows

Data scheme

yes

schema-free

yes

schema-free

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

RESTful HTTP API

HTTP REST
Java API

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

Supported programming languages

C#
C++
F#
Visual Basic

Java

C
Go
Java
PHP
Python

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

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

based on Cassandra

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

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

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

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.

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

ACID, Cluster-wide transaction available

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage

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

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More resources

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Trinity
30 October 2010, microsoft.com

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