DBMS > Firebolt vs. Infobright vs. Interbase vs. LMDB vs. Tkrzw

System Properties Comparison Firebolt vs. Infobright vs. Interbase vs. LMDB vs. Tkrzw

Editorial information provided by DB-Engines

Name

Description

Highly scalable cloud data warehouse and analytics product

Forked from Clickhouse

High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend

Light-weight proven RDBMS

originally from Borland

A high performant, light-weight, embedded key-value database library

A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet

Primary database model

Relational DBMS

Key-value store

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

Score	1.73
Rank	#140	Overall
	#63	Relational DBMS

Score	1.02
Rank	#192	Overall
	#90	Relational DBMS

Score	4.08
Rank	#75	Overall
	#41	Relational DBMS

Score	2.09
Rank	#121	Overall
	#20	Key-value stores

Score	0.07
Rank	#372	Overall
	#57	Key-value stores

Website

www.firebolt.io

ignitetech.com/softwarelibrary/infobrightdb

www.embarcadero.com/products/interbase

www.symas.com/symas-embedded-database-lmdb

dbmx.net/tkrzw

Technical documentation

docs.firebolt.io

docs.embarcadero.com/products/interbase

www.lmdb.tech/doc

Developer

Firebolt Analytics Inc.

Ignite Technologies Inc.; formerly InfoBright Inc.

Embarcadero

Symas

Mikio Hirabayashi

Initial release

2020

2005

1984

2011

2020

Current release

InterBase 2020, December 2019

0.9.32, January 2024

0.9.3, August 2020

License

Commercial or Open Source

commercial

The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016

commercial

Open Source

Apache Version 2.0

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

C++

Server operating systems

hosted

Linux
Windows

Android
iOS
Linux
OS X
Windows

Linux
Unix
Windows

Linux
macOS

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.

export as XML data possible

Secondary indexes

yes

Knowledge Grid Technology used instead

yes

SQL

Support of SQL

yes

APIs and other access methods

.Net
ODBC
RESTful HTTP API

ADO.NET
JDBC
ODBC

Supported programming languages

Go
JavaScript (Node.js)
Python

.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby

.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

yes

Interbase procedure and trigger language

Triggers

yes

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

Source-replica replication

Interbase Change Views

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

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Multiversion concurreny control

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

using specific database classes

User concepts

Access control

fine grained access rights according to SQL-standard

exploiting MySQL or PostgreSQL frontend capabilities

fine grained access rights according to SQL-standard

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