DBMS > ArcadeDB vs. Kinetica vs. RavenDB

System Properties Comparison ArcadeDB vs. Kinetica vs. RavenDB

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Editorial information provided by DB-Engines

Name

Description

Fast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewritten

Fully vectorized database across both GPUs and CPUs

Open Source Operational and Transactional Enterprise NoSQL Document Database

Primary database model

Document store
Graph DBMS
Key-value store
Time Series DBMS

in next version

Relational DBMS

Document store

Secondary database models

Spatial DBMS
Time Series DBMS

Graph DBMS
Spatial DBMS
Time Series DBMS

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

Score	0.11
Rank	#341	Overall
	#49	Document stores
	#34	Graph DBMS
	#49	Key-value stores
	#32	Time Series DBMS

Score	0.50
Rank	#247	Overall
	#116	Relational DBMS

Score	2.59
Rank	#95	Overall
	#17	Document stores

Website

arcadedb.com

www.kinetica.com

ravendb.net

Technical documentation

docs.arcadedb.com

docs.kinetica.com

ravendb.net/docs

Developer

Arcade Data

Kinetica

Hibernating Rhinos

Initial release

2021

2012

2010

Current release

September 2021

7.1, August 2021

5.4, July 2022

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

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

Java

C, C++

Server operating systems

All OS with a Java VM

Linux

Linux
macOS
Raspberry Pi
Windows

Data scheme

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

SQL-like query language, no joins

SQL-like DML and DDL statements

SQL-like query language (RQL)

APIs and other access methods

JDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin

JDBC
ODBC
RESTful HTTP 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

Java

C++
Java
JavaScript (Node.js)
Python

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

Server-side scripts

Stored procedures

user defined functions

yes

Triggers

yes

triggers when inserted values for one or more columns fall within a specified range

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

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

Immediate Consistency or Eventual Consistency depending on configuration

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

relationship in graphs

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

yes

In-memory capabilities

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

yes

GPU vRAM or System RAM

User concepts

Access control

Access rights for users and roles on table level

Authorization levels configured per client per database

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More resources

Recent citations in the news

Why developers like Apache TinkerPop, an open source framework for graph computing
27 September 2021, Amazon Web Services (AWS)

provided by Google News

Kinetica: AI is a ‘killer app’ for data analytics
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How GPUs Are Helping Paris’ Public Hospital System Combat the Spread of COVID-19
15 October 2020, NVIDIA Blog

GPU Database Market Size, Share & Trends Report, 2030
29 July 2024, Grand View Research

Kinetica rolls machine learning libraries into its GPU-powered database
24 January 2017, SiliconANGLE

Kinetica: Fusing Geospatial And Time-Series Data Sets And Processing Spatiotemporal Analytics
26 July 2023, Pulse 2.0

provided by Google News

Oren Eini on RavenDB, Including Consistency Guarantees and C# as the Implementation Language
23 May 2022, infoq.com

RavenDB Launches Version 6.0 Lightning Fast Queries, Data Integrations, Corax Indexing Engine, and Sharding
2 October 2023, PR Newswire

Install the NoSQL RavenDB Data System
14 May 2021, The New Stack

Get To Know: Oren Eini, CEO, RavenDB
22 October 2019, Intelligent CIO

Fig. 5. Storage size of MySQL and Elasticsearch DB comparison.
25 August 2018, ResearchGate

provided by Google News

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