DBMS > Blazegraph vs. Firebolt vs. Hazelcast

System Properties Comparison Blazegraph vs. Firebolt vs. Hazelcast

Please select another system to include it in the comparison.

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.

Highly scalable cloud data warehouse and analytics product

Forked from Clickhouse

A widely adopted in-memory data grid

Primary database model

Graph DBMS
RDF store

Relational DBMS

Key-value store

Secondary database models

Document store

JSON support with IMDG 3.12

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

Score	0.75
Rank	#213	Overall
	#18	Graph DBMS
	#7	RDF stores

Score	0.84
Rank	#206	Overall
	#96	Relational DBMS

Score	5.58
Rank	#57	Overall
	#6	Key-value stores

Website

blazegraph.com

www.firebolt.io

hazelcast.com

Technical documentation

wiki.blazegraph.com

docs.firebolt.io

hazelcast.org/imdg/docs

Developer

Blazegraph

Firebolt Analytics Inc.

Hazelcast

Initial release

2006

2020

2008

Current release

2.1.5, March 2019

5.3.6, November 2023

License

Commercial or Open Source

Open Source

extended commercial license available

commercial

Open Source

Apache Version 2; commercial licenses available

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

All OS with a Java VM

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

RDF literal types

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.

yes

the object must implement a serialization strategy

Secondary indexes

yes

SQL

Support of SQL

SPARQL is used as query language

yes

SQL-like query language

APIs and other access methods

Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3

.Net
ODBC
RESTful HTTP API

JCache
JPA
Memcached protocol
RESTful HTTP API

Supported programming languages

.Net
C
C++
Java
JavaScript
PHP
Python
Ruby

Go
JavaScript (Node.js)
Python

.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala

Server-side scripts

Stored procedures

yes

Event Listeners, Executor Services

Triggers

yes

Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

depending on storage layer

yes

Replicated Map

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency or Eventual Consistency selectable by user

Raft Consensus Algorithm

Foreign keys

Referential integrity

yes

Relationships in Graphs

Transaction concepts

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

ACID

one or two-phase-commit; repeatable reads; read commited

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

User concepts

Access control

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

Role-based access control

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Back to the future: Does graph database success hang on query language?
5 March 2018, ZDNET

This AI Paper Introduces A Comprehensive RDF Dataset With Over 26 Billion Triples Covering Scholarly Data Across All Scientific Disciplines
19 August 2023, MarkTechPost

provided by Google News

Firebolt Introduces FireScale - A Benchmark for Low Latency/High Concurrency Analytics Workloads to Power Data and AI Applications
27 March 2025, Business Wire

Firebolt Introduces Industry-First Low Latency Cloud Data Warehouse
18 September 2024, insideAI News

Press Release Distribution & PR Platform
16 April 2025, ACCESS Newswire

Data warehouse unicorn Firebolt aims to make magic in Kirkland
10 September 2024, The Business Journals

Firebolt Welcomes Former Oracle and Confluent Leader Hemanth Vedagarbha as President, Overseeing Global Go-To-Market Expansion and Customer-Facing Operations
6 February 2025, Business Wire

provided by Google News

Hazelcast embraces vector search
30 July 2024, Blocks and Files

Java News Roundup: Hazelcast 5.5, Projects Loom and Valhalla, Hibernate ORM and Validation
5 August 2024, infoq.com

Hazelcast 5.4 real time data processing platform boosts AI and consistency
17 April 2024, VentureBeat

Real-Time Data Platform Hazelcast Introduces New Chief Technology Officer Adrian Soars
7 November 2023, Finovate

Hazelcast debuts new in-memory data processing platform
14 July 2021, SiliconANGLE

provided by Google News

Share this page