DBMS > SpaceTime vs. TerminusDB vs. TimescaleDB

System Properties Comparison SpaceTime vs. TerminusDB vs. TimescaleDB

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Editorial information provided by DB-Engines

Name

Description

SpaceTime is a spatio-temporal DBMS with a focus on performance.

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

A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL

Primary database model

Spatial DBMS

Graph DBMS

Time Series DBMS

Secondary database models

Relational DBMS

Document store
RDF store

Relational DBMS

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

Score	0.00
Rank	#396	Overall
	#8	Spatial DBMS

Score	0.22
Rank	#323	Overall
	#28	Graph DBMS

Score	4.87
Rank	#74	Overall
	#4	Time Series DBMS

Website

www.mireo.com/spacetime

terminusdb.com

www.timescale.com

Technical documentation

terminusdb.github.io/terminusdb/#

docs.timescale.com

Developer

Mireo

DataChemist Ltd.

Timescale

Initial release

2020

2018

2017

Current release

11.0.0, January 2023

2.13.0, November 2023

License

Commercial or Open Source

commercial

Open Source

GPL V3

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Prolog, Rust

Server operating systems

Linux

Linux
OS X
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types

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.

yes

Secondary indexes

yes

SQL

Support of SQL

A subset of ANSI SQL is implemented

SQL-like query language (WOQL)

yes

full PostgreSQL SQL syntax

APIs and other access methods

RESTful HTTP API

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

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

Supported programming languages

C#
C++
Python

JavaScript
Python

.Net
C
C++
Delphi
Java

JDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

yes

user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Fixed-grid hypercubes

Graph Partitioning

yes, across time and space (hash partitioning) attributes

Replication methods

Methods for redundantly storing data on multiple nodes

Real-time block device replication (DRBD)

Journaling Streams

Source-replica replication with hot standby and reads on replicas

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory journaling

yes

In-memory capabilities

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

User concepts

Access control

yes

Role-based access control

fine grained access rights according to SQL-standard

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