DBMS > EsgynDB vs. GeoMesa vs. LokiJS vs. OpenTenBase

System Properties Comparison EsgynDB vs. GeoMesa vs. LokiJS vs. OpenTenBase

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Editorial information provided by DB-Engines

Name

Description

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

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

In-memory JavaScript DBMS

An enterprise-level distributed HTAP open source database based on PostgreSQL

Primary database model

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Trend Chart

Score	0.25
Rank	#312	Overall
	#138	Relational DBMS

Score	0.86
Rank	#205	Overall
	#4	Spatial DBMS

Score	0.49
Rank	#260	Overall
	#42	Document stores

Score	0.08
Rank	#370	Overall
	#156	Relational DBMS

Website

www.esgyn.cn

www.geomesa.org

github.com/techfort/LokiJS

github.com/OpenTenBase/OpenTenBase
www.opentenbase.org

Technical documentation

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

techfort.github.io/LokiJS

docs.opentenbase.org
docs.opentenbase.org/en

Developer

Esgyn

CCRi and others

OpenAtom Foundation, previously Tencent

Initial release

2015

2014

Current release

5.0.0, May 2024

2.5, January 2024

License

Commercial or Open Source

commercial

Open Source

Apache License 2.0

Open Source

BSD-3

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++, Java

Scala

JavaScript

Server operating systems

Linux

server-less, requires a JavaScript environment (browser, Node.js)

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

via views

yes

SQL

Support of SQL

yes

APIs and other access methods

ADO.NET
JDBC
ODBC

JavaScript API

Supported programming languages

All languages supporting JDBC/ODBC/ADO.Net

JavaScript

C
Go
Java
PHP
Python

Server-side scripts

Stored procedures

Java Stored Procedures

View functions in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

depending on storage layer

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication between multi datacenters

depending on storage layer

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

depending on storage layer

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

atomic operations within a single collection possible

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Serialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.

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

fine grained access rights according to SQL-standard

yes

depending on the DBMS used for storage

Access rights for users, groups and roles according to SQL-standard

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