DBMS > Apache Drill vs. Apache Jena - TDB vs. EsgynDB vs. RocksDB

System Properties Comparison Apache Drill vs. Apache Jena - TDB vs. EsgynDB vs. RocksDB

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Editorial information provided by DB-Engines

Name

Description

Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage

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

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

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

Primary database model

Document store
Relational DBMS

RDF store

Relational DBMS

Key-value store

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

Score	1.90
Rank	#126	Overall
	#23	Document stores
	#60	Relational DBMS

Score	2.91
Rank	#93	Overall
	#3	RDF stores

Score	0.15
Rank	#325	Overall
	#144	Relational DBMS

Score	2.84
Rank	#97	Overall
	#16	Key-value stores

Website

drill.apache.org

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

www.esgyn.cn

rocksdb.org

Technical documentation

drill.apache.org/docs

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

github.com/facebook/rocksdb/wiki

Developer

Apache Software Foundation

originally developed by HP Labs

Esgyn

Facebook, Inc.

Initial release

2012

2000

2015

2013

Current release

1.20.3, January 2023

4.9.0, July 2023

9.4.0, June 2024

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

Apache License, Version 2.0

commercial

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

C++, Java

C++

Server operating systems

Linux
OS X
Windows

All OS with a Java VM

Linux

Data scheme

schema-free

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

yes

SQL

Support of SQL

SQL SELECT statement is SQL:2003 compliant

yes

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

ADO.NET
JDBC
ODBC

C++ API
Java API

Supported programming languages

C++

Java

All languages supporting JDBC/ODBC/ADO.Net

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

user defined functions

yes

Java Stored Procedures

Triggers

yes

via event handler

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication between multi datacenters

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

TDB Transactions

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

Depending on the underlying data source

yes

In-memory capabilities

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

Depending on the underlying data source

yes

User concepts

Access control

Depending on the underlying data source

Access control via Jena Security

fine grained access rights according to SQL-standard

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More resources

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