DBMS > Amazon Aurora vs. GreptimeDB vs. IBM Db2 warehouse

System Properties Comparison Amazon Aurora vs. GreptimeDB vs. IBM Db2 warehouse

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Fully managed relational database service built for the cloud providing unparalleled high performance and availability at global scale for MySQL, PostgreSQL, and DSQL

An open source Time Series DBMS built for increased scalability, high performance and efficiency

Cloud-based data warehousing service

Primary database model

Relational DBMS

Time Series DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS
Vector DBMS

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

Score	7.99
Rank	#44	Overall
	#28	Relational DBMS

Score	0.13
Rank	#336	Overall
	#29	Time Series DBMS

Score	1.17
Rank	#167	Overall
	#75	Relational DBMS

Website

aws.amazon.com/rds/aurora

greptime.com

www.ibm.com/products/db2/warehouse

Technical documentation

docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_AuroraOverview.html
docs.aws.amazon.com/aurora-dsql/latest/userguide/what-is-aurora-dsql.html

docs.greptime.com

Social network pages

Developer

Amazon

Greptime Inc.

IBM

Initial release

2015

2022

2014

Current release

Aurora DSQL, November 2024 (preview), PostgreSQL: docs.aws.amazon.com/AmazonRDS/latest/AuroraPostgreSQLReleaseNotes/AuroraPostgreSQL.Updates.html , MySQL: docs.aws.amazon.com/AmazonRDS/latest/AuroraMySQLReleaseNotes/AuroraMySQL.release-calendars.html

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

commercial

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

PostgreSQL/MySQL: C, C++, Aurora DSQL: Rust

Rust

Server operating systems

Amazon Linux

Android
Docker
FreeBSD
Linux
macOS
Windows

hosted

Data scheme

yes

schema-free, schema definition possible

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.

yes

Import/export of XML data possible

Secondary indexes

yes

SQL

Support of SQL

yes, MySQL and PostgreSQL dialects

yes

APIs and other access methods

DSQL API: docs.aws.amazon.com/aurora-dsql/latest/userguide/CHAP_api_reference.html
MySQL wire protocol
PostgreSQL wire protocol
RDS Data API: docs.aws.amazon.com/AmazonRDS/latest/UserGuide/ProgrammingGuide.html

gRPC
HTTP API
JDBC

.NET Client API
JDBC
ODBC
OLE DB

Supported programming languages

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

C++
Erlang
Go
Java
JavaScript

Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

Server-side scripts

Stored procedures

PL/pgSQL, MySQL stored program language, APG trusted language extensions

Python

PL/SQL, SQL PL

Triggers

Aurora MySQL: Yes. Aurora PostgreSQL: Yes. Aurora DSQL: No.

yes

Partitioning methods

Methods for storing different data on different nodes

DBMS table partitioning, Horizontal storage partitioning, Sharding, Distributed horizontal partitioning (DSQL)

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Full replication
Logical replication
Snapshot replication
Transactional replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate/Strong Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID, Multi-statement

ACID

Concurrency

Support for concurrent manipulation of data

Multiversion concurrency control (MVCC) with fully compatible MySQL and PostgreSQL options. Optimistic concurrency control (OCC) in Aurora DSQL.

yes

Durability

Support for making data persistent

Data is replicated across 3 Availability Zones (AZs) within a single AWS Region. Active-active multi-Region high availability across 3 Regions (2 active, 1 witness) and automated failover recovery with Aurora DSQL. Automated, continuous backup of data with point in time restore. Fault-tolerant, self-healing storage system.

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

Role based permissions
Row level security

Simple rights management via user accounts

fine grained access rights according to SQL-standard

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

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

show all

Recent citations in the news

Amazon Aurora now supports R8g database instances in additional AWS Regions
14 March 2025, AWS Blog

Upgrade strategies for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL 12
26 February 2025, AWS Blog

Migrate very large databases to Amazon Aurora MySQL using MyDumper and MyLoader
27 February 2025, AWS Blog

Introducing Amazon Aurora DSQL | Amazon Web Services
3 December 2024, AWS Blog

Amazon Aurora PostgreSQL Limitless Database is now generally available
31 October 2024, AWS Blog

provided by Google News

A major upgrade to Db2® Warehouse on IBM Cloud®
26 June 2024, ibm.com

IBM Db2 12.1.1.0 has arrived: What’s new and improved?
5 February 2025, ibm.com

The hidden history of Db2
28 December 2024, ibm.com

Top 7 Cloud Data Warehouse Companies
31 May 2023, Datamation

Introducing the next generation of Db2 Warehouse: Our cost-effective, cloud-native data warehouse built for always-on, mission-critical workloads
11 July 2023, ibm.com

provided by Google News

Share this page