DBMS > Apache IoTDB vs. EJDB vs. LokiJS

System Properties Comparison Apache IoTDB vs. EJDB vs. LokiJS

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Editorial information provided by DB-Engines

Name

Description

An IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and Flink

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

In-memory JavaScript DBMS

Primary database model

Time Series DBMS

Document store

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

Score	0.43
Rank	#255	Overall
	#20	Time Series DBMS

Score	0.09
Rank	#317	Overall
	#42	Document stores

Score	0.57
Rank	#226	Overall
	#34	Document stores

Website

iotdb.apache.org

ejdb.org

github.com/techfort/LokiJS

Technical documentation

github.com/Softmotions/ejdb/blob/master/README.md

techfort.github.io/LokiJS

Developer

Apache Software Foundation

Softmotions

Initial release

2018

2012

2014

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

GPLv2

Open Source

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

JavaScript

Server operating systems

All OS with a Java VM (>= 1.8)

server-less

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

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

string, integer, double, bool, date, object_id

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

SQL

Support of SQL

SQL-like query language

APIs and other access methods

JDBC
Native API

in-process shared library

JavaScript API

Supported programming languages

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

JavaScript

Server-side scripts

Stored procedures

yes

View functions in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Integration with Hadoop and Spark

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Strong Consistency with Raft

none

Foreign keys

Referential integrity

typically not needed, however similar functionality with collection joins possible

Transaction concepts

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

atomic operations within a single collection possible

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

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.

In-memory capabilities

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

yes

User concepts

Access control

yes

More information provided by the system vendor

Specific characteristics

Apache IoTDB (Internet of Things Database) is a time series data management system...
» more

Competitive advantages

Low Cost and High Performance Tens of million points write throughput High compression...
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Typical application scenarios

IoT / IIoT End-Edge-Cloud Collaboration Real-Time and Historian Time Series Analytics
» more

Key customers

Over 200 customers worldwide, including Bosch, Siemens, Komat'su, Alibaba, etc.
» more

Market metrics

185+ contributors and 10,000+ times monthly clones on GitHub Rank 7 by commits among...
» more

Licensing and pricing models

Open Source: Apache License v2.0 Pricing for commercial-/cloud-/edge-edition provided...
» more

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