DBMS > AnzoGraph DB vs. Apache Druid vs. LokiJS vs. Riak KV

System Properties Comparison AnzoGraph DB vs. Apache Druid vs. LokiJS vs. Riak KV

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Editorial information provided by DB-Engines

Name

Description

Scalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualization

Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data

In-memory JavaScript DBMS

Distributed, fault tolerant key-value store

Primary database model

Graph DBMS
RDF store

Relational DBMS
Time Series DBMS

Document store

Key-value store

with links between data sets and object tags for the creation of secondary indexes

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

Score	0.23
Rank	#307	Overall
	#24	Graph DBMS
	#13	RDF stores

Score	3.34
Rank	#88	Overall
	#48	Relational DBMS
	#7	Time Series DBMS

Score	0.43
Rank	#264	Overall
	#42	Document stores

Score	4.10
Rank	#82	Overall
	#9	Key-value stores

Website

cambridgesemantics.com/anzograph

druid.apache.org

github.com/techfort/LokiJS

Technical documentation

docs.cambridgesemantics.com/anzograph/userdoc/home.htm

druid.apache.org/docs/latest/design

techfort.github.io/LokiJS

www.tiot.jp/riak-docs/riak/kv/latest

Developer

Cambridge Semantics

Apache Software Foundation and contributors

OpenSource, formerly Basho Technologies

Initial release

2018

2012

2014

2009

Current release

2.3, January 2021

29.0.1, April 2024

3.2.0, December 2022

License

Commercial or Open Source

commercial

free trial version available

Open Source

Apache license v2

Open Source

Apache version 2, commercial enterprise edition

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Java

JavaScript

Erlang

Server operating systems

Linux

Linux
OS X
Unix

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

Linux
OS X

Data scheme

Schema-free and OWL/RDFS-schema support

yes

schema-less columns are supported

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

restricted

SQL

Support of SQL

SPARQL and SPARQL* as primary query language. Cypher preview.

SQL for querying

APIs and other access methods

Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL

JDBC
RESTful HTTP/JSON API

JavaScript API

HTTP API
Native Erlang Interface

Supported programming languages

C++
Java
Python

Clojure
JavaScript
PHP
Python
R
Ruby
Scala

JavaScript

unofficial client library
C#
C++

unofficial client library
Clojure

unofficial client library
Dart

unofficial client library
Erlang
Go

unofficial client library
Groovy

unofficial client library
Haskell

unofficial client library
Java
JavaScript

unofficial client library
Lisp

unofficial client library
Perl

unofficial client library
PHP
Python
Ruby
Scala

unofficial client library
Smalltalk

unofficial client library

Server-side scripts

Stored procedures

user defined functions and aggregates

View functions in JavaScript

Erlang

Triggers

yes

pre-commit hooks and post-commit hooks

Partitioning methods

Methods for storing different data on different nodes

Automatic sharding

Sharding

manual/auto, time-based

none

Sharding

no "single point of failure"

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication in MPP-Cluster

yes, via HDFS, S3 or other storage engines

none

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

Kerberos/HDFS data loading

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency in MPP-Cluster

Immediate Consistency

none

Eventual Consistency

Foreign keys

Referential integrity

not needed in graphs

links between data sets can be stored

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.

yes

In-memory capabilities

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

yes

User concepts

Access control

Access rights for users and roles

RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system

yes, using Riak Security

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
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