DBMS > GeoMesa vs. IRONdb vs. Oracle Rdb

System Properties Comparison GeoMesa vs. IRONdb vs. Oracle Rdb

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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.

A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity

Primary database model

Spatial DBMS

Time Series DBMS

Relational DBMS

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Trend Chart

Score	0.94
Rank	#225	Overall
	#4	Spatial DBMS

Score	0.25
Rank	#337	Overall
	#29	Time Series DBMS

Score	1.53
Rank	#171	Overall
	#83	Relational DBMS

Website

www.geomesa.org

www.circonus.com/solutions/time-series-database

www.oracle.com/technetwork/database/database-technologies/rdb/overview/index.html

Technical documentation

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

docs.circonus.com/irondb

Developer

CCRi and others

Circonus LLC.

Oracle, originally developed by Digital Equipment Corporation (DEC)

Initial release

2014

2017

1984

Current release

3.5.0, December 2022

V0.10.20, January 2018

7.4.1.1, 2021

License

Commercial or Open Source

Open Source

Apache License 2.0

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

Scala

C and C++

Server operating systems

Linux

HP Open VMS

Data scheme

yes

schema-free

Flexible Schema (defined schema, partial schema, schema free)

Typing

predefined data types such as float or date

yes

text, numeric, histograms

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 (Circonus Analytics Query Language: CAQL)

yes

APIs and other access methods

HTTP API

Supported programming languages

.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala

Server-side scripts

Stored procedures

yes, in Lua

Triggers

Partitioning methods

Methods for storing different data on different nodes

depending on storage layer

Automatic, metric affinity per node

Replication methods

Methods for redundantly storing data on multiple nodes

depending on storage layer

configurable replication factor, datacenter aware

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

Immediate consistency per node, eventual consistency across nodes

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes, on a single node

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.

depending on storage layer

User concepts

Access control

yes

depending on the DBMS used for storage

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More resources

DB-Engines blog posts

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