DBMS > Apache Jena - TDB vs. dBASE vs. GreptimeDB vs. RocksDB

System Properties Comparison Apache Jena - TDB vs. dBASE vs. GreptimeDB vs. RocksDB

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Editorial information provided by DB-Engines

Name

Description

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.

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

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

Primary database model

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

Score	3.62
Rank	#83	Overall
	#3	RDF stores

Score	9.70
Rank	#44	Overall
	#28	Relational DBMS

Score	0.12
Rank	#351	Overall
	#34	Time Series DBMS

Score	3.41
Rank	#86	Overall
	#11	Key-value stores

Website

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

www.dbase.com

greptime.com

rocksdb.org

Technical documentation

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

www.dbase.com/support/knowledgebase

docs.greptime.com

github.com/facebook/rocksdb/wiki

Developer

Apache Software Foundation

originally developed by HP Labs

Asthon Tate

Greptime Inc.

Facebook, Inc.

Initial release

2000

1979

2022

2013

Current release

4.9.0, July 2023

dBASE 2019, 2019

9.2.1, May 2024

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

commercial

Open Source

Apache Version 2.0

Open Source

BSD

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Rust

C++

Server operating systems

All OS with a Java VM

DOS

dBase Classic
Windows

dBase Pro

Android
Docker
FreeBSD
Linux
macOS
Windows

Linux

Data scheme

yes

RDF Schemas

yes

schema-free, schema definition possible

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

yes

SQL

Support of SQL

yes

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

none

The IDE can access other DBMS or ODBC-sources.

gRPC
HTTP API
JDBC

C++ API
Java API

Supported programming languages

Java

dBase proprietary IDE

C++
Erlang
Go
Java
JavaScript

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

yes

The IDE can access stored procedures in other database systems.

Python

Triggers

yes

via event handler

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

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

TDB Transactions

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

yes

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.

yes

User concepts

Access control

Access control via Jena Security

Access rights for users and roles

Simple rights management via user accounts

More information provided by the system vendor

Specific characteristics

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Typical application scenarios

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Key customers

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Market metrics

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Licensing and pricing models

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