DBMS > GeoMesa vs. Speedb vs. TerminusDB

System Properties Comparison GeoMesa vs. Speedb vs. TerminusDB

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Editorial information provided by DB-Engines

Name

Description

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

An embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB

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

Primary database model

Spatial DBMS

Key-value store

Graph DBMS

Secondary database models

Document store
RDF store

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Trend Chart

Score	0.80
Rank	#211	Overall
	#4	Spatial DBMS

Score	0.20
Rank	#308	Overall
	#44	Key-value stores

Score	0.17
Rank	#318	Overall
	#28	Graph DBMS

Website

www.geomesa.org

www.speedb.io

terminusdb.com

Technical documentation

www.geomesa.org/documentation/stable/user/index.html

terminusdb.github.io/terminusdb/#

Developer

CCRi and others

Speedb

DataChemist Ltd.

Initial release

2014

2020

2018

Current release

5.0.1, July 2024

11.0.0, January 2023

License

Commercial or Open Source

Open Source

Apache License 2.0

Open Source

Apache Version 2.0; commercial license available

Open Source

GPL V3

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

Scala

C++

Prolog, Rust

Server operating systems

Linux
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.

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language (WOQL)

APIs and other access methods

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

Supported programming languages

C
C++
Go
Java
Perl
Python
Ruby

JavaScript
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

depending on storage layer

horizontal partitioning

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

depending on storage layer

yes

Journaling Streams

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

depending on storage layer

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory journaling

In-memory capabilities

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

depending on storage layer

yes

User concepts

Access control

yes

depending on the DBMS used for storage

Role-based access control

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

Redis Acquires Speedb to Supercharge End-to-End Application Performance at Lower Cost
21 March 2024, GlobeNewswire

Redis acquires storage engine startup Speedb to enhance its open-source database
21 March 2024, SiliconANGLE News

Redis switches licenses, acquires Speedb to go beyond its core in-memory database
21 March 2024, TechCrunch

Redis expands data management capabilities with Speedb acquisition
22 March 2024, Blocks & Files

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12 April 2022, United Nations Office for Disaster Risk Reduction

provided by Google News

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