DBMS > Amazon Redshift vs. Apache Jena - TDB vs. DuckDB vs. GeoMesa vs. SwayDB

System Properties Comparison Amazon Redshift vs. Apache Jena - TDB vs. DuckDB vs. GeoMesa vs. SwayDB

Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

A RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena framework

An embeddable, in-process, column-oriented SQL OLAP RDBMS

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Primary database model

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Trend Chart

Score	16.88
Rank	#35	Overall
	#22	Relational DBMS

Score	3.62
Rank	#83	Overall
	#3	RDF stores

Score	4.63
Rank	#69	Overall
	#37	Relational DBMS

Score	0.86
Rank	#205	Overall
	#4	Spatial DBMS

Score	0.04
Rank	#387	Overall
	#61	Key-value stores

Website

aws.amazon.com/redshift

jena.apache.org/documentation/tdb/index.html

duckdb.org

www.geomesa.org

swaydb.simer.au

Technical documentation

docs.aws.amazon.com/redshift

jena.apache.org/documentation/tdb/index.html

duckdb.org/docs

www.geomesa.org/documentation/stable/user/index.html

Developer

Amazon (based on PostgreSQL)

Apache Software Foundation

originally developed by HP Labs

CCRi and others

Simer Plaha

Initial release

2012

2000

2018

2014

2018

Current release

4.9.0, July 2023

1.0.0, June 2024

5.0.0, May 2024

License

Commercial or Open Source

commercial

Open Source

Apache License, Version 2.0

Open Source

MIT License

Open Source

Apache License 2.0

Open Source

GNU Affero GPL V3.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

Scala

Server operating systems

hosted

All OS with a Java VM

server-less

Data scheme

yes

RDF Schemas

yes

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

restricted

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

yes

APIs and other access methods

JDBC
ODBC

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC

Supported programming languages

All languages supporting JDBC/ODBC

Java

C
C#

3rd party driver
C++
Crystal

3rd party driver
Go

3rd party driver
Java
Lisp

3rd party driver
Python
R
Ruby

3rd party driver
Rust
Swift
Zig

3rd party driver

Java
Kotlin
Scala

Server-side scripts

Stored procedures

user defined functions

in Python

yes

Triggers

yes

via event handler

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

depending on storage layer

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

depending on storage layer

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

depending on storage layer

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

TDB Transactions

ACID

Atomic execution of operations

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes

depending on storage layer

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Access control via Jena Security

yes

depending on the DBMS used for storage

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