DBMS > Firebolt vs. Hyprcubd vs. OpenQM

System Properties Comparison Firebolt vs. Hyprcubd vs. OpenQM

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Editorial information provided by DB-Engines

Name

Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

Highly scalable cloud data warehouse and analytics product

Forked from Clickhouse

Serverless Time Series DBMS

QpenQM is a high-performance, self-tuning, multi-value DBMS

Primary database model

Relational DBMS

Time Series DBMS

Multivalue DBMS

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

Score	0.84
Rank	#206	Overall
	#96	Relational DBMS

Score	0.27
Rank	#292	Overall
	#10	Multivalue DBMS

Website

www.firebolt.io

hyprcubd.com (offline)

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-open-qm

Technical documentation

docs.firebolt.io

Developer

Firebolt Analytics Inc.

Hyprcubd, Inc.

Rocket Software, originally Martin Phillips

Initial release

2020

1993

Current release

3.4-12

License

Commercial or Open Source

commercial

Open Source

GPLv2, extended commercial license 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

Server operating systems

hosted

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Data scheme

yes

with some exceptions

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

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

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

.Net
ODBC
RESTful HTTP API

gRPC (https)

Supported programming languages

Go
JavaScript (Node.js)
Python

.Net
Basic
C
Java
Objective C
PHP
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

Replication methods

Methods for redundantly storing data on multiple nodes

depending on storage layer

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

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

In-memory capabilities

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

User concepts

Access control

token access

Access rights can be defined down to the item level

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More resources

Recent citations in the 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

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