DBMS > Amazon Redshift vs. BoltDB vs. Datomic vs. LokiJS vs. StarRocks

System Properties Comparison Amazon Redshift vs. BoltDB vs. Datomic vs. LokiJS vs. StarRocks

Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability

In-memory JavaScript DBMS

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

Primary database model

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

Score	16.88
Rank	#35	Overall
	#22	Relational DBMS

Score	0.80
Rank	#215	Overall
	#31	Key-value stores

Score	1.66
Rank	#144	Overall
	#66	Relational DBMS

Score	0.49
Rank	#260	Overall
	#42	Document stores

Score	0.93
Rank	#198	Overall
	#93	Relational DBMS

Website

aws.amazon.com/redshift

github.com/boltdb/bolt

www.datomic.com

github.com/techfort/LokiJS

www.starrocks.io

Technical documentation

docs.aws.amazon.com/redshift

docs.datomic.com

techfort.github.io/LokiJS

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

Developer

Amazon (based on PostgreSQL)

Cognitect

The Linux Foundation

since Feb 2023

Initial release

2012

2013

2012

2014

2020

Current release

1.0.7075, December 2023

2.5.3, March 2023

License

Commercial or Open Source

commercial

Open Source

MIT License

commercial

limited edition free

Open Source

Apache Version 2.0

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

Java, Clojure

JavaScript

C++, Java

Server operating systems

hosted

BSD
Linux
OS X
Solaris
Windows

All OS with a Java VM

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

Linux

Data scheme

yes

schema-free

yes

schema-free

yes

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

restricted

yes

via views

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

yes

APIs and other access methods

JDBC
ODBC

RESTful HTTP API

JavaScript API

JDBC
MySQL protocol

Supported programming languages

All languages supporting JDBC/ODBC

Clojure
Java

JavaScript

Java

Server-side scripts

Stored procedures

user defined functions

in Python

yes

Transaction Functions

View functions in JavaScript

user defined functions

Triggers

By using transaction functions

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

But extensive use of caching in the application peers

none

horizontal partitioning (by range and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

But extensive use of caching in the application peers

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Immediate Consistency

none

Immediate Consistency

Foreign keys

Referential integrity

yes

informational only, not enforced by the system

Transaction concepts

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

ACID

yes

ACID

atomic operations within a single collection possible

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)

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

recommended only for testing and development

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Role based access control and fine grained access rights

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