DBMS > Apache Jena - TDB vs. Firebase Realtime Database vs. GreptimeDB vs. NebulaGraph

System Properties Comparison Apache Jena - TDB vs. Firebase Realtime Database vs. GreptimeDB vs. NebulaGraph

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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

Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.

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

A distributed, linear scalable, high perfomant Graph DBMS

Primary database model

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

Score	3.75
Rank	#84	Overall
	#3	RDF stores

Score	14.29
Rank	#39	Overall
	#6	Document stores

Score	0.06
Rank	#352	Overall
	#33	Time Series DBMS

Score	2.14
Rank	#120	Overall
	#10	Graph DBMS

Website

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

firebase.google.com/products/realtime-database

greptime.com

github.com/vesoft-inc/nebula
www.nebula-graph.io

Technical documentation

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

firebase.google.com/docs/database

docs.greptime.com

docs.nebula-graph.io

Developer

Apache Software Foundation

originally developed by HP Labs

Google

acquired by Google 2014

Greptime Inc.

Vesoft Inc.

Initial release

2000

2012

2022

2019

Current release

4.9.0, July 2023

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

commercial

Open Source

Apache Version 2.0

Open Source

Apache Version 2.0 + Common Clause 1.0

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

Rust

C++

Server operating systems

All OS with a Java VM

hosted

Android
Docker
FreeBSD
Linux
macOS
Windows

Linux

Data scheme

yes

RDF Schemas

schema-free

schema-free, schema definition possible

Strong typed schema

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

Nebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

Android
iOS
JavaScript API
RESTful HTTP API

gRPC
HTTP API
JDBC

Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis

ORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL

Supported programming languages

Java

Java
JavaScript
Objective-C

C++
Erlang
Go
Java
JavaScript

.Net
C++
Go
Java
PHP
Python

Server-side scripts

Stored procedures

yes

limited functionality with using 'rules'

Python

user defined functions

Triggers

yes

via event handler

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Causal Clustering using Raft protocol

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

ACID

TDB Transactions

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using RocksDB

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

yes, based on authentication and database rules

Simple rights management via user accounts

Role-based access control

More information provided by the system vendor

Specific characteristics

GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more

NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more

Competitive advantages

- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more

NebulaGraph boasts the world's only graph database solution that is able to host...
» more

Typical application scenarios

For IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more

Social networking Fraud detection Knowledge graph Data warehouse management Anti...
» more

Key customers

Greptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more

Companies from a variety of industries have implemented NebulaGraph Database in production,...
» more

Market metrics

GreptimeDB has garnered global recognition by topping GitHub trends following its...
» more

At our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more

Licensing and pricing models

GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

NebulaGraph is open source and free to use under Apache 2.0 license.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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