DBMS > Dgraph vs. Kinetica vs. LokiJS

System Properties Comparison Dgraph vs. Kinetica vs. LokiJS

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Editorial information provided by DB-Engines

Name

Description

Distributed and scalable native Graph DBMS

Fully vectorized database across both GPUs and CPUs

In-memory JavaScript DBMS

Primary database model

Graph DBMS

Relational DBMS

Document store

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

Score	1.38
Rank	#145	Overall
	#11	Graph DBMS

Score	0.64
Rank	#218	Overall
	#106	Relational DBMS

Score	0.57
Rank	#226	Overall
	#34	Document stores

Website

dgraph.io

www.kinetica.com

github.com/techfort/LokiJS

Technical documentation

dgraph.io/docs

www.kinetica.com/docs

techfort.github.io/LokiJS

Developer

Dgraph Labs, Inc.

Kinetica

Initial release

2016

2012

2014

Current release

7.1, August 2021

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Open Source

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, C++

JavaScript

Server operating systems

Linux
OS X
Windows

Linux

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

Data scheme

schema-free

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

via views

SQL

Support of SQL

SQL-like DML and DDL statements

APIs and other access methods

GraphQL query language
gRPC (using protocol buffers) API
HTTP API

JDBC
ODBC
RESTful HTTP API

JavaScript API

Supported programming languages

C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

C++
Java
JavaScript (Node.js)
Python

JavaScript

Server-side scripts

Stored procedures

user defined functions

View functions in JavaScript

Triggers

yes

triggers when inserted values for one or more columns fall within a specified range

yes

Partitioning methods

Methods for storing different data on different nodes

yes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Synchronous replication via Raft

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

none

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

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.

In-memory capabilities

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

yes

GPU vRAM or System RAM

yes

User concepts

Access control

Planned for future releases

Access rights for users and roles on table level

More information provided by the system vendor

Specific characteristics

Native and fully vectorized database across both GPUs and CPUs, with memory first...
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Competitive advantages

Best in class geospatial and temporal analytics. Lockless architecture provides real-time...
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Typical application scenarios

Any application requiring (1) real time insights, (2) time series analysis (3) geospatial...
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Key customers

Citibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
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Market metrics

The largest IoT deployment in the world, NORAD, runs on Kinetica.
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Licensing and pricing models

Always Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
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