DBMS > Amazon Aurora vs. FeatureBase vs. IBM Db2 warehouse vs. TerminusDB vs. VelocityDB

System Properties Comparison Amazon Aurora vs. FeatureBase vs. IBM Db2 warehouse vs. TerminusDB vs. VelocityDB

Editorial information provided by DB-Engines

Name

Description

MySQL and PostgreSQL compatible cloud service by Amazon

Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.

Cloud-based data warehousing service

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

Primary database model

Relational DBMS

Graph DBMS

Graph DBMS
Object oriented DBMS

Secondary database models

Document store

Document store
RDF store

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

Score	7.66
Rank	#44	Overall
	#28	Relational DBMS

Score	0.22
Rank	#302	Overall
	#136	Relational DBMS

Score	1.23
Rank	#164	Overall
	#75	Relational DBMS

Score	0.15
Rank	#326	Overall
	#30	Graph DBMS

Score	0.00
Rank	#386	Overall
	#40	Graph DBMS
	#20	Object oriented DBMS

Website

aws.amazon.com/rds/aurora

www.featurebase.com

www.ibm.com/products/db2/warehouse

terminusdb.com

velocitydb.com

Technical documentation

docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_Aurora.html

docs.featurebase.com

terminusdb.github.io/terminusdb/#

velocitydb.com/UserGuide

Developer

Amazon

Molecula and Pilosa Open Source Contributors

IBM

DataChemist Ltd.

VelocityDB Inc

Initial release

2015

2017

2014

2018

2011

Current release

2022, May 2022

11.0.0, January 2023

7.x

License

Commercial or Open Source

commercial

Open Source

GPL V3

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

Prolog, Rust

Server operating systems

hosted

Linux
macOS

hosted

Linux

Any that supports .NET

Data scheme

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

SQL queries

yes

SQL-like query language (WOQL)

APIs and other access methods

ADO.NET
JDBC
ODBC

gRPC
JDBC
Kafka Connector
ODBC

.NET Client API
JDBC
ODBC
OLE DB

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

.Net

Supported programming languages

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

Java
Python

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

JavaScript
Python

.Net

Server-side scripts

Stored procedures

yes

PL/SQL, SQL PL

yes

Triggers

yes

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

Graph Partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

Journaling Streams

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

Transaction concepts

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

ACID

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, using Linux fsync

yes

in-memory journaling

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

fine grained access rights according to SQL-standard

Role-based access control

Based on Windows Authentication

More information provided by the system vendor

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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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

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Recent citations in the news

Amazon Aurora for Core Banking Systems
9 November 2024, AWS Blog

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

Amazon Aurora Introduces Global Database Writer Endpoint for Distributed Applications
9 November 2024, InfoQ.com

Amazon Aurora PostgreSQL now supports local write forwarding
17 October 2024, AWS Blog

Amazon Aurora launches Global Database writer endpoint
22 October 2024, AWS Blog

provided by Google News

Former Silicon Labs CEO Tyson Tuttle launches AI startup Circuit, acquires Austin startup Molecula
23 July 2024, The Business Journals

provided by Google News

Tackling AI’s data challenges with IBM databases on AWS
14 March 2024, ibm.com

Top 20 most-asked questions about Amazon RDS for Db2 answered
8 April 2024, ibm.com

Data Mining in Db2 Warehouse: the basics
23 June 2020, Towards Data Science

Top 7 Cloud Data Warehouse Companies
31 May 2023, Datamation

Db2 Warehouse delivers 4x faster query performance than previously, while cutting storage costs by 34x
11 July 2023, ibm.com

provided by Google News

Trinity College spinout TerminusDB secures €3.6m in investment
15 March 2021, The Irish Times

provided by Google News

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