DBMS > Interbase vs. LMDB vs. RocksDB

System Properties Comparison Interbase vs. LMDB vs. RocksDB

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Editorial information provided by DB-Engines

Name

Description

Light-weight proven RDBMS

originally from Borland

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

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

Primary database model

Relational DBMS

Key-value store

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

Score	5.04
Rank	#71	Overall
	#39	Relational DBMS

Score	2.33
Rank	#118	Overall
	#21	Key-value stores

Score	4.00
Rank	#84	Overall
	#11	Key-value stores

Website

www.embarcadero.com/products/interbase

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

rocksdb.org

Technical documentation

docs.embarcadero.com/products/interbase

www.lmdb.tech/doc

github.com/facebook/rocksdb/wiki

Developer

Embarcadero

Symas

Facebook, Inc.

Initial release

1984

2011

2013

Current release

InterBase 2020, December 2019

0.9.32, January 2024

8.11.4, April 2024

License

Commercial or Open Source

commercial

Open Source

BSD

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Server operating systems

Android
iOS
Linux
OS X
Windows

Linux
Unix
Windows

Linux

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

SQL

Support of SQL

yes

APIs and other access methods

ADO.NET
JDBC
ODBC

C++ API
Java API

Supported programming languages

.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
C++
Go
Java
Perl
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

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Interbase Change Views

none

yes

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

yes

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

User concepts

Access control

fine grained access rights according to SQL-standard

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