DBMS > Graphite vs. HEAVY.AI vs. RDFox vs. Snowflake vs. SpaceTime

System Properties Comparison Graphite vs. HEAVY.AI vs. RDFox vs. Snowflake vs. SpaceTime

Editorial information provided by DB-Engines

Name

Description

Data logging and graphing tool for time series data

The storage layer (fixed size database) is called Whisper

A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware

High performance knowledge graph and semantic reasoning engine

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

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

Primary database model

Secondary database models

Spatial DBMS

Relational DBMS

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

Score	5.00
Rank	#63	Overall
	#4	Time Series DBMS

Score	1.40
Rank	#153	Overall
	#71	Relational DBMS

Score	0.23
Rank	#296	Overall
	#24	Graph DBMS
	#13	RDF stores

Score	140.60
Rank	#7	Overall
	#5	Relational DBMS

Score	0.00
Rank	#388	Overall
	#7	Spatial DBMS

Website

github.com/graphite-project/graphite-web

github.com/heavyai/heavydb
www.heavy.ai

www.oxfordsemantic.tech

www.snowflake.com

www.mireo.com/spacetime

Technical documentation

graphite.readthedocs.io

docs.heavy.ai

docs.oxfordsemantic.tech

docs.snowflake.net/manuals/index.html

Developer

Chris Davis

HEAVY.AI, Inc.

Oxford Semantic Technologies

Snowflake Computing Inc.

Mireo

Initial release

2006

2016

2017

2014

2020

Current release

5.10, January 2022

6.0, Septermber 2022

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Apache Version 2; enterprise edition available

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

Python

C++ and CUDA

C++

Server operating systems

Linux
Unix

Linux

Linux
macOS
Windows

hosted

Linux

Data scheme

yes

RDF schemas

yes

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

yes

Typing

predefined data types such as float or date

Numeric data only

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.

yes

Secondary indexes

SQL

Support of SQL

yes

A subset of ANSI SQL is implemented

APIs and other access methods

HTTP API
Sockets

JDBC
ODBC
Thrift
Vega

RESTful HTTP API
SPARQL 1.1

CLI Client
JDBC
ODBC

RESTful HTTP API

Supported programming languages

JavaScript (Node.js)
Python

All languages supporting JDBC/ODBC/Thrift
Python

C
Java

JavaScript (Node.js)
Python

C#
C++
Python

Server-side scripts

Stored procedures

user defined functions

Triggers

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Round robin

yes

Fixed-grid hypercubes

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication

replication via a shared file system

yes

Real-time block device replication (DRBD)

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

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

locking

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Roles, resources, and access types

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

yes

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