DBMS > AgensGraph vs. Amazon DynamoDB vs. Apache Jena - TDB vs. Badger

System Properties Comparison AgensGraph vs. Amazon DynamoDB vs. Apache Jena - TDB vs. Badger

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Editorial information provided by DB-Engines

Name

Description

Multi-model database supporting relational and graph data models and built upon PostgreSQL

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

An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.

Primary database model

Graph DBMS
Relational DBMS

Document store
Key-value store

RDF store

Key-value store

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

Score	0.23
Rank	#315	Overall
	#26	Graph DBMS
	#140	Relational DBMS

Score	74.45
Rank	#17	Overall
	#3	Document stores
	#2	Key-value stores

Score	3.62
Rank	#83	Overall
	#3	RDF stores

Score	0.22
Rank	#320	Overall
	#47	Key-value stores

Website

bitnine.net/agensgraph

aws.amazon.com/dynamodb

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

github.com/dgraph-io/badger

Technical documentation

bitnine.net/documentation

docs.aws.amazon.com/dynamodb

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

godoc.org/github.com/dgraph-io/badger

Developer

Bitnine Global Inc.

Amazon

Apache Software Foundation

originally developed by HP Labs

DGraph Labs

Initial release

2016

2012

2000

2017

Current release

2.1, December 2018

4.9.0, July 2023

License

Commercial or Open Source

Open Source

Apache License 2.0

commercial

free tier for a limited amount of database operations

Open Source

Apache License, Version 2.0

Open Source

Apache 2.0

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

Server operating systems

Linux
OS X
Windows

hosted

All OS with a Java VM

BSD
Linux
OS X
Solaris
Windows

Data scheme

depending on used data model

schema-free

yes

RDF Schemas

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

Cypher Query Language
JDBC

RESTful HTTP API

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

Supported programming languages

C
Java
JavaScript
Python

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

Java

Server-side scripts

Stored procedures

yes

Triggers

yes

by integration with AWS Lambda

yes

via event handler

Partitioning methods

Methods for storing different data on different nodes

no, but can be realized using table inheritance

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

can be specified for read operations

none

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

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

fine grained access rights according to SQL-standard

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

Access control via Jena Security

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