DBMS > GeoMesa vs. GeoSpock vs. HugeGraph vs. RethinkDB

System Properties Comparison GeoMesa vs. GeoSpock vs. HugeGraph vs. RethinkDB

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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.

Spatial and temporal data processing engine for extreme data scale

A fast-speed and highly-scalable Graph DBMS

DBMS for the Web with a mechanism to push updated query results to applications in realtime.

Primary database model

Secondary database models

Time Series DBMS

Spatial DBMS

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

Score	0.78
Rank	#199	Overall
	#3	Spatial DBMS

Score	0.16
Rank	#299	Overall
	#138	Relational DBMS

Score	0.22
Rank	#286	Overall
	#22	Graph DBMS

Score	3.09
Rank	#99	Overall
	#19	Document stores

Website

Technical documentation

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

docs.geospock.com/Content/Home.htm

hugegraph.github.io/hugegraph-doc

rethinkdb.com/docs

Developer

CCRi and others

GeoSpock

Baidu

The Linux Foundation

since July 2017

Initial release

2014

2018

2009

Current release

3.2.0, April 2021

2.0, September 2019

0.9

2.4.1, August 2020

License

Commercial or Open Source

Open Source

Apache License 2.0

commercial

Open Source

Apache Version 2.0

Open Source

Apache Version 2

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Scala

Java, Javascript

Java

C++

Server operating systems

hosted

Linux
macOS
Unix

Linux
OS X
Windows

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

string, binary, float, bool, date, geometry

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

temporal, categorical

yes

also supports composite index and range index

yes

SQL

Support of SQL

ANSI SQL for query only (using Presto)

APIs and other access methods

JDBC

Java API
RESTful HTTP API
TinkerPop Gremlin

Supported programming languages

Groovy
Java
Python

community-supported driver
C#

community-supported driver
C++

community-supported driver
Clojure

community-supported driver
Dart

community-supported driver
Erlang

community-supported driver
Go

community-supported driver
Haskell

community-supported driver
Java

official driver
JavaScript (Node.js)

official driver
Lisp

community-supported driver
Lua

community-supported driver
Objective-C

community-supported driver
Perl

community-supported driver
PHP

community-supported driver
Python

official driver
Ruby

official driver
Scala

community-supported driver

Server-side scripts

Stored procedures

asynchronous Gremlin script jobs

Triggers

Client-side triggers through changefeeds

Partitioning methods

Methods for storing different data on different nodes

depending on storage layer

Automatic sharding

yes

depending on used storage backend, e.g. Cassandra and HBase

Sharding

range based

Replication methods

Methods for redundantly storing data on multiple nodes

depending on storage layer

yes

depending on used storage backend, e.g. Cassandra and HBase

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via hugegraph-spark

yes

Consistency concepts

Methods to ensure consistency in a distributed system

depending on storage layer

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

edges in graph

Transaction concepts

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

ACID

Atomic single-document operations

Concurrency

Support for concurrent manipulation of data

yes

MVCC based

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

yes

User concepts

Access control

yes

depending on the DBMS used for storage

Access rights for users can be defined per table

Users, roles and permissions

yes

users and table-level permissions

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Meet some database management systems you are likely to hear more about in the future
4 August 2014, Paul Andlinger

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Recent citations in the news

How GeoSpock is supercharging geospatial analytics
23 February 2021, ComputerWeekly.com

GeoSpock joins Tomorrow Street to accelerate next-generation database technology adoption
28 October 2020, RealWire

Cambridge-Based GeoSpock Secures £10 Million Additional Funding
8 January 2019, Business Wire

Cambridge-based data analytics startup GeoSpock lands €4.6 million
2 October 2020, EU-Startups

UK-based database GeoSpock bags $5.4m, to expand into
6 October 2020, Tech in Asia

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