DBMS > Amazon DynamoDB vs. Apache Jena - TDB vs. dBASE vs. EsgynDB vs. SQream DB

System Properties Comparison Amazon DynamoDB vs. Apache Jena - TDB vs. dBASE vs. EsgynDB vs. SQream DB

Editorial information provided by DB-Engines

Name

Description

Hosted, scalable database service by Amazon with the data stored in Amazons cloud

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

dBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

a GPU-based, columnar RDBMS for big data analytics workloads

Primary database model

Document store
Key-value store

RDF store

Relational DBMS

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

Score	70.06
Rank	#17	Overall
	#3	Document stores
	#2	Key-value stores

Score	2.91
Rank	#93	Overall
	#3	RDF stores

Score	9.16
Rank	#43	Overall
	#27	Relational DBMS

Score	0.15
Rank	#325	Overall
	#144	Relational DBMS

Score	0.62
Rank	#234	Overall
	#109	Relational DBMS

Website

aws.amazon.com/dynamodb

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

www.dbase.com

www.esgyn.cn

sqream.com

Technical documentation

docs.aws.amazon.com/dynamodb

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

www.dbase.com/support/knowledgebase

docs.sqream.com

Developer

Amazon

Apache Software Foundation

originally developed by HP Labs

Asthon Tate

Esgyn

SQream Technologies

Initial release

2012

2000

1979

2015

2017

Current release

4.9.0, July 2023

dBASE 2019, 2019

2022.1.6, December 2022

License

Commercial or Open Source

commercial

free tier for a limited amount of database operations

Open Source

Apache License, 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

Java

C++, Java

C++, CUDA, Haskell, Java, Scala

Server operating systems

hosted

All OS with a Java VM

DOS

dBase Classic
Windows

dBase Pro

Linux

Data scheme

schema-free

yes

RDF Schemas

yes

Typing

predefined data types such as float or date

yes

yes, ANSI Standard SQL Types

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

yes

SQL

Support of SQL

yes

APIs and other access methods

RESTful HTTP API

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

none

The IDE can access other DBMS or ODBC-sources.

ADO.NET
JDBC
ODBC

.Net
JDBC
ODBC

Supported programming languages

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

Java

dBase proprietary IDE

All languages supporting JDBC/ODBC/ADO.Net

C++
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

The IDE can access stored procedures in other database systems.

Java Stored Procedures

user defined functions in Python

Triggers

yes

by integration with AWS Lambda

yes

via event handler

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

horizontal and vertical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

Multi-source replication between multi datacenters

none

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be specified for read operations

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

ACID across one or more tables within a single AWS account and region

ACID

TDB Transactions

not for dBase internal data, but IDE does support transactions when accessing external DBMS

ACID

Concurrency

Support for concurrent manipulation of data

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.

User concepts

Access control

Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

Access control via Jena Security

Access rights for users and roles

fine grained access rights according to SQL-standard

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