DBMS > Drizzle vs. GeoMesa vs. JSqlDb

System Properties Comparison Drizzle vs. GeoMesa vs. JSqlDb

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Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

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

JavaScript Query Language Database, stores JavaScript objects and primitives

Primary database model

Relational DBMS

Spatial DBMS

Document store
Object oriented DBMS

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

Score	0.78
Rank	#213	Overall
	#4	Spatial DBMS

Website

www.geomesa.org

jsqldb.org (offline)

Technical documentation

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

Developer

Drizzle project, originally started by Brian Aker

CCRi and others

Konrad von Backstrom

Initial release

2008

2014

2018

Current release

7.2.4, September 2012

4.0.5, February 2024

0.8, December 2018

License

Commercial or Open Source

Open Source

GNU GPL

Open Source

Apache License 2.0

Open Source

Cloud-based only

Only available as a cloud service

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Implementation language

C++

Scala

Server operating systems

FreeBSD
Linux
OS X

Linux
macOS
Windows

Data scheme

yes

schema-free

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

yes

with proprietary extensions

APIs and other access methods

JDBC

Supported programming languages

C
C++
Java
PHP

JavaScript

Server-side scripts

Stored procedures

functions in JavaScript

Triggers

hooks for callbacks inside the server can be used.

Partitioning methods

Methods for storing different data on different nodes

Sharding

depending on storage layer

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

depending on storage layer

none

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using RocksDB

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

Pluggable authentication mechanisms

e.g. LDAP, HTTP

yes

depending on the DBMS used for storage

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