DBMS > Google BigQuery vs. Graphite vs. HEAVY.AI vs. RDFox vs. SpaceTime

System Properties Comparison Google BigQuery vs. Graphite vs. HEAVY.AI vs. RDFox vs. SpaceTime

Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service with append-only tables

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

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	51.18
Rank	#19	Overall
	#13	Relational DBMS

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	0.00
Rank	#388	Overall
	#7	Spatial DBMS

Website

cloud.google.com/bigquery

github.com/graphite-project/graphite-web

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

www.oxfordsemantic.tech

www.mireo.com/spacetime

Technical documentation

cloud.google.com/bigquery/docs

graphite.readthedocs.io

docs.heavy.ai

docs.oxfordsemantic.tech

Developer

Google

Chris Davis

HEAVY.AI, Inc.

Oxford Semantic Technologies

Mireo

Initial release

2010

2006

2016

2017

2020

Current release

5.10, January 2022

6.0, Septermber 2022

License

Commercial or Open Source

commercial

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

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Implementation language

Python

C++ and CUDA

C++

Server operating systems

hosted

Linux
Unix

Linux

Linux
macOS
Windows

Linux

Data scheme

yes

RDF schemas

yes

Typing

predefined data types such as float or date

yes

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.

Secondary indexes

SQL

Support of SQL

yes

A subset of ANSI SQL is implemented

APIs and other access methods

RESTful HTTP/JSON API

HTTP API
Sockets

JDBC
ODBC
Thrift
Vega

RESTful HTTP API
SPARQL 1.1

RESTful HTTP API

Supported programming languages

.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby

JavaScript (Node.js)
Python

All languages supporting JDBC/ODBC/Thrift
Python

C
Java

C#
C++
Python

Server-side scripts

Stored procedures

user defined functions

in JavaScript

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Round robin

Fixed-grid hypercubes

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication

replication via a shared file system

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

Immediate Consistency

none

Immediate Consistency

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

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Since BigQuery is designed for querying 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

Access privileges (owner, writer, reader) on dataset, table or view level

Google Cloud Identity & Access Management (IAM)

fine grained access rights according to SQL-standard

Roles, resources, and access types

yes

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