DBMS > Derby vs. Linter vs. LMDB vs. OpenEdge vs. TigerGraph

System Properties Comparison Derby vs. Linter vs. LMDB vs. OpenEdge vs. TigerGraph

Editorial information provided by DB-Engines

Name

Description

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

RDBMS for high security requirements

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

Application development environment with integrated database management system

A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time

Primary database model

Secondary database models

Spatial DBMS

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

Score	4.60
Rank	#70	Overall
	#38	Relational DBMS

Score	0.12
Rank	#350	Overall
	#152	Relational DBMS

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

Score	3.45
Rank	#85	Overall
	#46	Relational DBMS

Score	1.80
Rank	#138	Overall
	#13	Graph DBMS

Website

db.apache.org/derby

linter.ru

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

www.progress.com/openedge

www.tigergraph.com

Technical documentation

db.apache.org/derby/manuals/index.html

www.lmdb.tech/doc

documentation.progress.com/output/ua/OpenEdge_latest

docs.tigergraph.com

Developer

Apache Software Foundation

relex.ru

Symas

Progress Software Corporation

Initial release

1997

1990

2011

1984

2017

Current release

10.17.1.0, November 2023

0.9.32, January 2024

OpenEdge 12.2, March 2020

License

Commercial or Open Source

Open Source

Apache version 2

commercial

Open Source

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C and C++

C++

Server operating systems

All OS with a Java VM

AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows

Linux
Unix
Windows

AIX
HP-UX
Linux
Solaris
Windows

Linux

Data scheme

yes

schema-free

yes

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

close to SQL 92

SQL-like query language (GSQL)

APIs and other access methods

JDBC

ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)

JDBC
ODBC

GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API

Supported programming languages

Java

C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl

.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

Progress proprietary ABL (Advanced Business Language)

C++
Java

Server-side scripts

Stored procedures

Java Stored Procedures

yes

proprietary syntax with the possibility to convert from PL/SQL

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

since Version 11.4

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

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.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Users and groups

Role-based access control

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