DBMS > Amazon DynamoDB vs. Fujitsu Enterprise Postgres vs. H2GIS vs. TDengine vs. TerminusDB

System Properties Comparison Amazon DynamoDB vs. Fujitsu Enterprise Postgres vs. H2GIS vs. TDengine vs. TerminusDB

Editorial information provided by DB-Engines

Name

Description

Hosted, scalable database service by Amazon with the data stored in Amazons cloud

Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.

Spatial extension of H2

Time Series DBMS and big data platform

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

Primary database model

Document store
Key-value store

Secondary database models

Document store
Spatial DBMS

Relational DBMS

Document store
RDF store

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

Score	72.39
Rank	#17	Overall
	#3	Document stores
	#2	Key-value stores

Score	0.24
Rank	#297	Overall
	#134	Relational DBMS

Score	0.00
Rank	#386	Overall
	#7	Spatial DBMS

Score	2.27
Rank	#110	Overall
	#9	Time Series DBMS

Score	0.15
Rank	#326	Overall
	#30	Graph DBMS

Website

aws.amazon.com/dynamodb

www.postgres.global.fujitsu.com

www.h2gis.org

github.com/taosdata/TDengine
tdengine.com

terminusdb.com

Technical documentation

docs.aws.amazon.com/dynamodb

www.postgres.global.fujitsu.com/product-manuals

www.h2gis.org/docs/home

docs.tdengine.com

terminusdb.github.io/terminusdb/#

Developer

Amazon

Fujitsu Limited

CNRS

TDEngine, previously Taos Data

DataChemist Ltd.

Initial release

2012

2013

2019

2018

Current release

Fujitsu Enterprise Postgres 16, May 2024

3.0, August 2022

11.0.0, January 2023

License

Commercial or Open Source

commercial

free tier for a limited amount of database operations

commercial

Open Source

LGPL 3.0

Open Source

AGPL V3, also commercial editions available

Open Source

GPL V3

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

Prolog, Rust

Server operating systems

hosted

Linux
Windows

Linux

Data scheme

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

Standard SQL with extensions for time-series applications

SQL-like query language (WOQL)

APIs and other access methods

RESTful HTTP API

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

JDBC
RESTful HTTP API

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

Supported programming languages

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Java

C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust

JavaScript
Python

Server-side scripts

Stored procedures

user defined functions

yes

based on H2

yes

Triggers

yes

by integration with AWS Lambda

yes

yes, via alarm monitoring

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

partitioning by range, list and by hash

none

Sharding

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

yes

based on H2

yes

Journaling Streams

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

Eventual Consistency
Immediate Consistency

can be specified for read operations

Immediate Consistency

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

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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.

yes

User concepts

Access control

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

fine grained access rights according to SQL-standard

yes

based on H2

yes

Role-based access control

More information provided by the system vendor

Specific characteristics

TDengine™ is a time-series database designed to help traditional industries overcome...
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Competitive advantages

High Performance at Any Scale: With its distributed scalable architecture that grows...
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Typical application scenarios

TDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
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Market metrics

TDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
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Licensing and pricing models

TDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
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News

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7 November 2024

TDengine Powers Vibration Data Analysis and Fault Prediction at Hydroelectric Plant
4 November 2024

Earthshaking Speed: TDengine Ingests 50,000 Seismological Records per Second
31 October 2024

InfluxDB vs. TDengine: Industrial Data Sources
29 October 2024

InfluxDB vs. TDengine: Query Language
28 October 2024

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