DBMS > LMDB vs. OrigoDB

System Properties Comparison LMDB vs. OrigoDB

Please select another system to include it in the comparison.

Our visitors often compare LMDB and OrigoDB with Elasticsearch, Apache Spark (SQL) and TimescaleDB.

Editorial information provided by DB-Engines

Name

Description

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

A fully ACID in-memory object graph database

Primary database model

Key-value store

Document store
Object oriented DBMS

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

Score	1.75
Rank	#129	Overall
	#20	Key-value stores

Score	0.00
Rank	#385	Overall
	#54	Document stores
	#21	Object oriented DBMS

Website

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

origodb.com

Technical documentation

www.lmdb.tech/doc

origodb.com/docs

Developer

Symas

Robert Friberg et al

Initial release

2011

2009

under the name LiveDB

Current release

0.9.32, January 2024

License

Commercial or Open Source

Open Source

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

Server operating systems

Linux
Unix
Windows

Linux
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

User defined using .NET types and collections

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.

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

APIs and other access methods

.NET Client API
HTTP API
LINQ

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

.Net

Server-side scripts

Stored procedures

yes

Triggers

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

client side managed; servers are not synchronized

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica 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

depending on model

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

Write ahead log

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Role based authorization

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Pandas Can’t Handle This: How ArcticDB Powers Massive Datasets
12 February 2025, Towards Data Science

The Lightning Memory-mapped Database
2 March 2016, infoq.com

Threat Actors Exploit Multiple Vulnerabilities in Ivanti Connect Secure and Policy Secure Gateways
29 February 2024, CISA (.gov)

Akamai launches managed database service
25 April 2022, Blocks and Files

Introducing Quicksilver: Configuration Distribution at Internet Scale
30 March 2020, The Cloudflare Blog

provided by Google News

Share this page