DBMS > Apache Jena - TDB vs. GeoMesa vs. GreptimeDB vs. SwayDB vs. TerminusDB

System Properties Comparison Apache Jena - TDB vs. GeoMesa vs. GreptimeDB vs. SwayDB vs. TerminusDB

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

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

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

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

Primary database model

Secondary database models

Document store
RDF store

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

Score	3.62
Rank	#83	Overall
	#3	RDF stores

Score	0.86
Rank	#205	Overall
	#4	Spatial DBMS

Score	0.12
Rank	#351	Overall
	#34	Time Series DBMS

Score	0.04
Rank	#387	Overall
	#61	Key-value stores

Score	0.23
Rank	#316	Overall
	#27	Graph DBMS

Website

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

Technical documentation

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

www.geomesa.org/documentation/stable/user/index.html

docs.greptime.com

terminusdb.github.io/terminusdb/#

Developer

Apache Software Foundation

originally developed by HP Labs

CCRi and others

Greptime Inc.

Simer Plaha

DataChemist Ltd.

Initial release

2000

2014

2022

2018

Current release

4.9.0, July 2023

5.0.0, May 2024

11.0.0, January 2023

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

Apache License 2.0

Open Source

Apache Version 2.0

Open Source

GNU Affero GPL V3.0

Open Source

GPL V3

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

Scala

Rust

Scala

Prolog, Rust

Server operating systems

All OS with a Java VM

Android
Docker
FreeBSD
Linux
macOS
Windows

Linux

Data scheme

yes

RDF Schemas

yes

schema-free, schema definition possible

schema-free

yes

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

SQL-like query language (WOQL)

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

gRPC
HTTP API
JDBC

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

Supported programming languages

Java

C++
Erlang
Go
Java
JavaScript

Java
Kotlin
Scala

JavaScript
Python

Server-side scripts

Stored procedures

yes

Python

yes

Triggers

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

none

depending on storage layer

Sharding

none

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

depending on storage layer

none

Journaling Streams

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

depending on storage layer

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

TDB Transactions

Atomic execution of operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory journaling

In-memory capabilities

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

depending on storage layer

yes

User concepts

Access control

Access control via Jena Security

yes

depending on the DBMS used for storage

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

Competitive advantages

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

Typical application scenarios

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

Key customers

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

Market metrics

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

Licensing and pricing models

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

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

Related products and services

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More resources

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