DBMS > Prometheus vs. Snowflake vs. STSdb vs. TerminusDB vs. TigerGraph

System Properties Comparison Prometheus vs. Snowflake vs. STSdb vs. TerminusDB vs. TigerGraph

Editorial information provided by DB-Engines

Name

Description

Open-source Time Series DBMS and monitoring system

Cloud-based data warehousing service for structured and semi-structured data

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

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

A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time

Primary database model

Secondary database models

Document store
RDF store

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

Score	7.69
Rank	#50	Overall
	#3	Time Series DBMS

Score	130.36
Rank	#8	Overall
	#5	Relational DBMS

Score	0.10
Rank	#357	Overall
	#51	Key-value stores

Score	0.23
Rank	#316	Overall
	#27	Graph DBMS

Score	1.80
Rank	#138	Overall
	#13	Graph DBMS

Website

prometheus.io

www.snowflake.com

github.com/STSSoft/STSdb4

terminusdb.com

www.tigergraph.com

Technical documentation

prometheus.io/docs

docs.snowflake.net/manuals/index.html

terminusdb.github.io/terminusdb/#

docs.tigergraph.com

Developer

Snowflake Computing Inc.

STS Soft SC

DataChemist Ltd.

Initial release

2015

2014

2011

2018

2017

Current release

4.0.8, September 2015

11.0.0, January 2023

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Open Source

GPLv2, commercial license available

Open Source

GPL V3

commercial

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

Prolog, Rust

C++

Server operating systems

Linux
Windows

hosted

Windows

Linux

Data scheme

yes

support of semi-structured data formats (JSON, XML, Avro)

yes

Typing

predefined data types such as float or date

Numeric data only

yes

primitive types and user defined types (classes)

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.

Import of XML data possible

yes

Secondary indexes

SQL

Support of SQL

yes

SQL-like query language (WOQL)

SQL-like query language (GSQL)

APIs and other access methods

RESTful HTTP/JSON API

CLI Client
JDBC
ODBC

.NET Client API

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API

Supported programming languages

.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby

JavaScript (Node.js)
Python

C#
Java

JavaScript
Python

C++
Java

Server-side scripts

Stored procedures

user defined functions

yes

Triggers

similar concept for controling cloud resources

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

none

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by Federation

yes

none

Journaling Streams

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

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

Users with fine-grained authorization concept, user roles and pluggable authentication

Role-based access control

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