DBMS > GridDB vs. Lovefield vs. RDFox vs. SwayDB vs. Yanza

System Properties Comparison GridDB vs. Lovefield vs. RDFox vs. SwayDB vs. Yanza

Editorial information provided by DB-Engines

Name

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

Scalable in-memory time series database optimized for IoT and Big Data

Embeddable relational database for web apps written in pure JavaScript

High performance knowledge graph and semantic reasoning engine

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Time Series DBMS for IoT Applications

Primary database model

Secondary database models

Key-value store
Relational DBMS

Relational DBMS

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

Score	1.91
Rank	#123	Overall
	#10	Time Series DBMS

Score	0.22
Rank	#306	Overall
	#138	Relational DBMS

Score	0.22
Rank	#305	Overall
	#25	Graph DBMS
	#15	RDF stores

Score	0.00
Rank	#384	Overall
	#60	Key-value stores

Website

griddb.net

google.github.io/lovefield

www.oxfordsemantic.tech

swaydb.simer.au

yanza.com

Technical documentation

docs.griddb.net

github.com/google/lovefield/blob/master/docs/spec_index.md

docs.oxfordsemantic.tech

Developer

Toshiba Corporation

Google

Oxford Semantic Technologies

Simer Plaha

Yanza

Initial release

2013

2014

2017

2018

2015

Current release

5.1, August 2022

2.1.12, February 2017

6.0, Septermber 2022

License

Commercial or Open Source

Open Source

AGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available

Open Source

Apache 2.0

commercial

Open Source

GNU Affero GPL V3.0

commercial

free version available

Cloud-based only

Only available as a cloud service

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

JavaScript

C++

Scala

Server operating systems

Linux

server-less, requires a JavaScript environment (browser, Node.js)

tested with Chrome, Firefox, IE, Safari

Linux
macOS
Windows

Windows

Data scheme

yes

RDF schemas

schema-free

Typing

predefined data types such as float or date

yes

numerical, string, blob, geometry, boolean, timestamp

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

SQL92, SQL-like TQL (Toshiba Query Language)

SQL-like query language

via JavaScript builder pattern

APIs and other access methods

JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API

RESTful HTTP API
SPARQL 1.1

HTTP API

Supported programming languages

C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

JavaScript

C
Java

Java
Kotlin
Scala

any language that supports HTTP calls

Server-side scripts

Stored procedures

Triggers

yes

Using read-only observers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

replication via a shared file system

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Connector for using GridDB as an input source and output destination for Hadoop MapReduce jobs

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate consistency within container, eventual consistency across containers

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID at container level

ACID

Atomic execution of operations

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, by using IndexedDB or the cloud service Firebase Realtime Database

yes

In-memory capabilities

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

yes

using MemoryDB

yes

User concepts

Access control

Access rights for users can be defined per database

Roles, resources, and access types

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More resources

Recent citations in the news

Now Features Scale-Out and Scale-Up combo for Petabyte-scale Data Management
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Toshiba launches cloudy managed IoT database service running its own GridDB
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TOSHIBA DIGITAL SOLUTIONS CORPORATION
1 November 2020, global.toshiba

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11 August 2023, Open Source For You

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18 July 2024, Samsung Global Newsroom

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19 July 2024, evertiq.com

University spin-out Oxford Semantic Technologies acquired by Samsung Electronics
16 July 2024, University of Oxford

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20 July 2024, Oxford Mail

Use semantic reasoning to infer new facts from your RDF graph by integrating RDFox with Amazon Neptune
20 February 2023, AWS Blog

provided by Google News

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