DBMS > Firebolt vs. SwayDB

System Properties Comparison Firebolt vs. SwayDB

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Editorial information provided by DB-Engines

Name

Description

Highly scalable cloud data warehouse and analytics product

Forked from Clickhouse

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

Primary database model

Relational DBMS

Key-value store

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

Score	0.84
Rank	#206	Overall
	#96	Relational DBMS

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

Website

www.firebolt.io

swaydb.simer.au

Technical documentation

docs.firebolt.io

Developer

Firebolt Analytics Inc.

Simer Plaha

Initial release

2020

2018

License

Commercial or Open Source

commercial

Open Source

GNU Affero GPL V3.0

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

Scala

Server operating systems

hosted

Data scheme

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

yes

APIs and other access methods

.Net
ODBC
RESTful HTTP API

Supported programming languages

Go
JavaScript (Node.js)
Python

Java
Kotlin
Scala

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

depending on storage layer

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Atomic execution of operations

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

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More resources

Recent citations in the news

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

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

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

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

Jedify Launches Universal Data Connectivity With Firebolt to Power Lightning-Fast Enterprise AI & Analytics
16 April 2025, Yahoo Finance

provided by Google News

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