DBMS > Firebolt vs. H2 vs. Valentina Server vs. YDB

System Properties Comparison Firebolt vs. H2 vs. Valentina Server vs. YDB

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Editorial information provided by DB-Engines

Name

Description

Highly scalable cloud data warehouse and analytics product

Forked from Clickhouse

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

Object-relational database and reports server

A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API

Primary database model

Relational DBMS

Document store
Relational DBMS

Secondary database models

Spatial DBMS

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

Score	1.49
Rank	#148	Overall
	#68	Relational DBMS

Score	7.57
Rank	#47	Overall
	#30	Relational DBMS

Score	0.18
Rank	#313	Overall
	#140	Relational DBMS

Score	0.39
Rank	#269	Overall
	#43	Document stores
	#126	Relational DBMS

Website

www.firebolt.io

www.h2database.com

www.valentina-db.net

github.com/ydb-platform/ydb
ydb.tech

Technical documentation

docs.firebolt.io

www.h2database.com/html/main.html

valentina-db.com/docs/dokuwiki/v5/doku.php

ydb.tech/en/docs

Developer

Firebolt Analytics Inc.

Thomas Mueller

Paradigma Software

Yandex

Initial release

2020

2005

1999

2019

Current release

2.2.220, July 2023

5.7.5

License

Commercial or Open Source

commercial

Open Source

dual-licence (Mozilla public license, Eclipse public license)

commercial

Open Source

Apache 2.0; 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

Java

Server operating systems

hosted

All OS with a Java VM

Linux
OS X
Windows

Linux

Data scheme

yes

Flexible Schema (defined schema, partial schema, 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

SQL-like query language (YQL)

APIs and other access methods

.Net
ODBC
RESTful HTTP API

JDBC
ODBC

ODBC

RESTful HTTP API (DynamoDB compatible)

Supported programming languages

Go
JavaScript (Node.js)
Python

Java

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

Go
Java
JavaScript (Node.js)
PHP
Python

Server-side scripts

Stored procedures

Java Stored Procedures and User-Defined Functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

depending on storage layer

With clustering: 2 database servers on different computers operate on identical copies of a database

Active-passive shard replication

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

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

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

fine grained access rights according to SQL-standard

Access rights defined for Yandex Cloud users

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More resources

Recent citations in the news

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18 September 2024, insideBIGDATA

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7 September 2022, CTech

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7 December 2018, H2S Media

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3 April 2022, The Verge

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1 February 2023, The Indian Express

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10 August 2023, Civil Georgia

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3 April 2022, Tech Times

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4 April 2022, The US Sun

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