DBMS > LMDB vs. OpenEdge vs. RocksDB vs. TerminusDB vs. TigerGraph

System Properties Comparison LMDB vs. OpenEdge vs. RocksDB vs. TerminusDB vs. TigerGraph

Editorial information provided by DB-Engines

Name

Description

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

Application development environment with integrated database management system

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

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

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

Primary database model

Secondary database models

Document store
RDF store

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

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

Score	3.45
Rank	#85	Overall
	#46	Relational DBMS

Score	3.41
Rank	#86	Overall
	#11	Key-value stores

Score	0.23
Rank	#316	Overall
	#27	Graph DBMS

Score	1.80
Rank	#138	Overall
	#13	Graph DBMS

Website

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

www.progress.com/openedge

rocksdb.org

terminusdb.com

www.tigergraph.com

Technical documentation

www.lmdb.tech/doc

documentation.progress.com/output/ua/OpenEdge_latest

github.com/facebook/rocksdb/wiki

terminusdb.github.io/terminusdb/#

docs.tigergraph.com

Developer

Symas

Progress Software Corporation

Facebook, Inc.

DataChemist Ltd.

Initial release

2011

1984

2013

2018

2017

Current release

0.9.32, January 2024

OpenEdge 12.2, March 2020

9.2.1, May 2024

11.0.0, January 2023

License

Commercial or Open Source

Open Source

commercial

Open Source

BSD

Open Source

GPL V3

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

C++

Prolog, Rust

C++

Server operating systems

Linux
Unix
Windows

AIX
HP-UX
Linux
Solaris
Windows

Linux

Data scheme

schema-free

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 (WOQL)

SQL-like query language (GSQL)

APIs and other access methods

JDBC
ODBC

C++ API
Java API

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

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

Supported programming languages

.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
C++
Go
Java
Perl
Python
Ruby

JavaScript
Python

C++
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

since Version 11.4

horizontal partitioning

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

yes

Journaling Streams

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

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory journaling

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

Users and groups

Role-based access control

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