DBMS > Alibaba Cloud PolarDB vs. FeatureBase vs. GeoMesa vs. JSqlDb vs. LokiJS

System Properties Comparison Alibaba Cloud PolarDB vs. FeatureBase vs. GeoMesa vs. JSqlDb vs. LokiJS

Editorial information provided by DB-Engines

Name

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

Description

A cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.

Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.

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

JavaScript Query Language Database, stores JavaScript objects and primitives

In-memory JavaScript DBMS

Primary database model

Relational DBMS

Spatial DBMS

Document store
Object oriented DBMS

Document store

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

Score	0.59
Rank	#241	Overall
	#110	Relational DBMS

Score	0.22
Rank	#309	Overall
	#139	Relational DBMS

Score	0.78
Rank	#213	Overall
	#4	Spatial DBMS

Score	0.43
Rank	#264	Overall
	#42	Document stores

Website

www.alibabacloud.com/product/polardb

www.featurebase.com

www.geomesa.org

jsqldb.org (offline)

github.com/techfort/LokiJS

Technical documentation

www.alibabacloud.com/help/en/polardb/product-overview

docs.featurebase.com

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

techfort.github.io/LokiJS

Developer

Alibaba

Molecula and Pilosa Open Source Contributors

CCRi and others

Konrad von Backstrom

Initial release

2017

2014

2018

2014

Current release

2022, May 2022

4.0.5, February 2024

0.8, December 2018

License

Commercial or Open Source

commercial

Open Source

Apache License 2.0

Open Source

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

JavaScript

Server operating systems

hosted

Linux
macOS

Linux
macOS
Windows

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

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.

yes

Secondary indexes

yes

via views

SQL

Support of SQL

yes

SQL queries

APIs and other access methods

JDBC
ODBC

gRPC
JDBC
Kafka Connector
ODBC

JavaScript API

Supported programming languages

Java
Python

JavaScript

Server-side scripts

Stored procedures

yes

functions in JavaScript

View functions in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

depending on storage layer

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

yes

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

Immediate Consistency

depending on storage layer

none

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

atomic operations within a single collection possible

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, using Linux fsync

yes

using RocksDB

yes

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

In-memory capabilities

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

yes

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

More information provided by the system vendor

Specific characteristics

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Competitive advantages

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Typical application scenarios

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Licensing and pricing models

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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1 December 2014, Matthias Gelbmann

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Recent citations in the news

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