DBMS > Blazegraph vs. Cloudflare Workers KV vs. OpenTenBase vs. OrigoDB vs. Realm

System Properties Comparison Blazegraph vs. Cloudflare Workers KV vs. OpenTenBase vs. OrigoDB vs. Realm

Editorial information provided by DB-Engines

Name

Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.

Description

High-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.

A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.

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

A fully ACID in-memory object graph database

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

Primary database model

Graph DBMS
RDF store

Key-value store

Relational DBMS

Document store
Object oriented DBMS

Document store

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

Score	0.75
Rank	#214	Overall
	#18	Graph DBMS
	#8	RDF stores

Score	0.28
Rank	#287	Overall
	#42	Key-value stores

Score	0.00
Rank	#386	Overall
	#159	Relational DBMS

Score	0.00
Rank	#386	Overall
	#54	Document stores
	#20	Object oriented DBMS

Score	7.05
Rank	#49	Overall
	#8	Document stores

Website

blazegraph.com

www.cloudflare.com/developer-platform/workers-kv

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

origodb.com

realm.io

Technical documentation

wiki.blazegraph.com

developers.cloudflare.com/kv/api

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

origodb.com/docs

realm.io/docs

Developer

Blazegraph

Cloudflare

OpenAtom Foundation, previously Tencent

Robert Friberg et al

Realm, acquired by MongoDB in May 2019

Initial release

2006

2018

2009

under the name LiveDB

2014

Current release

2.1.5, March 2019

2.5, January 2024

License

Commercial or Open Source

Open Source

extended commercial license available

commercial

Open Source

BSD-3

Open Source

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

Java

Server operating systems

Linux
OS X
Windows

hosted

Linux

Linux
Windows

Android
Backend: server-less
iOS
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

RDF literal types

yes

User defined using .NET types and collections

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.

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

SPARQL is used as query language

yes

APIs and other access methods

Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3

HTTP REST
Proprietary protocol

.NET Client API
HTTP API
LINQ

Supported programming languages

.Net
C
C++
Java
JavaScript
PHP
Python
Ruby

C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala

C
Go
Java
PHP
Python

.Net

.Net
Java

with Android only
Objective-C
React Native
Swift

Server-side scripts

Stored procedures

yes

runs within the applications so server-side scripts are unnecessary

Triggers

yes

Domain Events

yes

Change Listeners

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

client side managed; servers are not synchronized

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in Graphs

yes

depending on model

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Write ahead log

yes

In-memory capabilities

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

yes

In-Memory realm

User concepts

Access control

Security and Authentication via Web Application Container (Tomcat, Jetty)

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

Role based authorization

yes

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More resources

DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Recent citations in the news

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