DBMS > Amazon Redshift vs. Dolt vs. XTDB

System Properties Comparison Amazon Redshift vs. Dolt vs. XTDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

A MySQL compatible DBMS with Git-like versioning of data and schema

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Relational DBMS

Document store

Secondary database models

Document store

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

Score	14.70
Rank	#36	Overall
	#22	Relational DBMS

Score	0.60
Rank	#232	Overall
	#106	Relational DBMS

Score	0.20
Rank	#314	Overall
	#46	Document stores

Website

aws.amazon.com/redshift

github.com/dolthub/dolt
www.dolthub.com

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

docs.aws.amazon.com/redshift

docs.dolthub.com

www.xtdb.com/docs

Developer

Amazon (based on PostgreSQL)

DoltHub Inc

Juxt Ltd.

Initial release

2012

2018

2019

Current release

1.19, September 2021

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

MIT License

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

Clojure

Server operating systems

hosted

Linux
macOS
Windows

All OS with a Java 8 (and higher) VM
Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

yes, extensible-data-notation format

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

SQL

Support of SQL

yes

does not fully support an SQL-standard

yes

limited SQL, making use of Apache Calcite

APIs and other access methods

JDBC
ODBC

CLI Client
HTTP REST

HTTP REST
JDBC

Supported programming languages

All languages supporting JDBC/ODBC

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Clojure
Java

Server-side scripts

Stored procedures

user defined functions

in Python

yes

currently in alpha release

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.

yes, each node contains all data

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

informational only, not enforced by the system

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

In-memory capabilities

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

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Only one user is configurable, and must be specified in the config file at startup

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Recent citations in the news

Configure cross-account access of Amazon SageMaker Lakehouse multi-catalog tables using AWS Glue 5.0 Spark
9 May 2025, Amazon Web Services (AWS)

Recap of Amazon Redshift key product announcements in 2024
17 December 2024, Amazon Web Services (AWS)

Amazon Redshift enhances security by changing default behavior in 2025 | Amazon Web Services
30 January 2025, Amazon Web Services (AWS)

Using Amazon S3 Tables with Amazon Redshift to query Apache Iceberg tables | Amazon Web Services
24 March 2025, Amazon Web Services (AWS)

Enhance your Amazon Redshift business intelligence workloads with gen AI capabilities using Amazon Q in QuickSight
22 January 2025, Amazon Web Services (AWS)

provided by Google News

An open-source data storage and visualization platform for collaborative qubit control
30 September 2024, Nature

Top 100+ Essential Data Science Tools & Repos: Streamline Your Workflow Today!
17 October 2024, Packt

7 Modern SQL Databases You Must Know in 2024
28 June 2024, KDnuggets

Git-for-Data, Version-Controlled Database Dolt Gets PostgreSQL-Flavor
25 November 2023, infoq.com

Radar Trends to Watch: July 2022
5 July 2022, O'Reilly Media

provided by Google News

Share this page