DBMS > Machbase Neo vs. Oracle Rdb vs. RavenDB vs. YTsaurus

System Properties Comparison Machbase Neo vs. Oracle Rdb vs. RavenDB vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

TimeSeries DBMS for AIoT and BigData

Open Source Operational and Transactional Enterprise NoSQL Document Database

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Time Series DBMS

Relational DBMS

Document store

Document store
Key-value store

Secondary database models

Graph DBMS
Spatial DBMS
Time Series DBMS

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

Score	0.17
Rank	#337	Overall
	#30	Time Series DBMS

Score	1.14
Rank	#178	Overall
	#80	Relational DBMS

Score	2.84
Rank	#101	Overall
	#18	Document stores

Score	0.21
Rank	#324	Overall
	#45	Document stores
	#48	Key-value stores

Website

machbase.com

www.oracle.com/database/technologies/related/rdb.html

ravendb.net

ytsaurus.tech

Technical documentation

machbase.com/dbms

www.oracle.com/database/technologies/related/rdb-doc.html

ravendb.net/docs

ytsaurus.tech/docs/en

Developer

Machbase

Oracle, originally developed by Digital Equipment Corporation (DEC)

Hibernating Rhinos

Yandex

Initial release

2013

1984

2010

2023

Current release

V8.0, August 2023

7.4.1.1, 2021

5.4, July 2022

License

Commercial or Open Source

commercial

free test version available

commercial

Open Source

AGPL version 3, commercial license available

Open Source

Apache License, Version 2.0

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

C++

Server operating systems

Linux
macOS
Windows

HP Open VMS

Linux
macOS
Raspberry Pi
Windows

Ubuntu

Data scheme

yes

Flexible Schema (defined schema, partial schema, schema free)

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

SQL-like query language

yes

SQL-like query language (RQL)

YQL, an SQL-based language, is supported

APIs and other access methods

gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC

.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#
C++
Go
Java
JavaScript
PHP

via ODBC
Python
R

via ODBC
Scala

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

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Multi-source replication

yes

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.

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes, on a single node

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

volatile and lookup table

User concepts

Access control

simple password-based access control

Authorization levels configured per client per database

Access Control Lists

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