DBMS > LMDB vs. OushuDB vs. SpaceTime

System Properties Comparison LMDB vs. OushuDB vs. SpaceTime

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Editorial information provided by DB-Engines

Name

Description

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

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

SpaceTime is a spatio-temporal DBMS with a focus on performance.

Primary database model

Key-value store

Relational DBMS

Spatial DBMS

Secondary database models

Relational DBMS

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

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

Score	0.10
Rank	#355	Overall
	#154	Relational DBMS

Score	0.03
Rank	#392	Overall
	#8	Spatial DBMS

Website

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

www.oushu.com/product/oushuDB

www.mireo.com/spacetime

Technical documentation

www.lmdb.tech/doc

www.oushu.com/documentation

Developer

Symas

Oushu

Mireo

Initial release

2011

2020

Current release

0.9.32, January 2024

4.0.1, August 2020

License

Commercial or Open Source

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

C++

Server operating systems

Linux
Unix
Windows

Linux

Data scheme

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.

Secondary indexes

yes

SQL

Support of SQL

Full-featured ANSI SQL support

A subset of ANSI SQL is implemented

APIs and other access methods

JDBC
ODBC

RESTful HTTP 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

C
C++

C#
C++
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

Fixed-grid hypercubes

Replication methods

Methods for redundantly storing data on multiple nodes

none

Real-time block device replication (DRBD)

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

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

Kerberos, SSL and role based access

yes

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