DBMS > Google BigQuery vs. H2GIS vs. HugeGraph vs. TinkerGraph vs. Titan

System Properties Comparison Google BigQuery vs. H2GIS vs. HugeGraph vs. TinkerGraph vs. Titan

Editorial information provided by DB-Engines

Name

Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.

Description

Large scale data warehouse service with append-only tables

Spatial extension of H2

A fast-speed and highly-scalable Graph DBMS

A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API

Titan is a Graph DBMS optimized for distributed clusters.

Primary database model

Relational DBMS

Spatial DBMS

Graph DBMS

Secondary database models

Relational DBMS

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

Score	61.90
Rank	#19	Overall
	#13	Relational DBMS

Score	0.05
Rank	#372	Overall
	#7	Spatial DBMS

Score	0.15
Rank	#339	Overall
	#33	Graph DBMS

Score	0.12
Rank	#344	Overall
	#34	Graph DBMS

Website

cloud.google.com/bigquery

www.h2gis.org

github.com/hugegraph
hugegraph.apache.org

tinkerpop.apache.org/docs/current/reference/#tinkergraph-gremlin

github.com/thinkaurelius/titan

Technical documentation

cloud.google.com/bigquery/docs

www.h2gis.org/docs/home

hugegraph.apache.org/docs

github.com/thinkaurelius/titan/wiki

Developer

Google

CNRS

Baidu

Aurelius, owned by DataStax

Initial release

2010

2013

2018

2009

2012

Current release

0.9

License

Commercial or Open Source

commercial

Open Source

LGPL 3.0

Open Source

Apache Version 2.0

Open Source

Apache 2.0

Open Source

Apache license, version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

hosted

Linux
macOS
Unix

Linux
OS X
Unix
Windows

Data scheme

yes

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

also supports composite index and range index

yes

SQL

Support of SQL

yes

APIs and other access methods

RESTful HTTP/JSON API

Java API
RESTful HTTP API
TinkerPop Gremlin

TinkerPop 3

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

Supported programming languages

.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby

Java

Groovy
Java
Python

Groovy
Java

Clojure
Java
Python

Server-side scripts

Stored procedures

user defined functions

in JavaScript

yes

based on H2

asynchronous Gremlin script jobs

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

depending on used storage backend, e.g. Cassandra and HBase

none

yes

via pluggable storage backends

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

yes

depending on used storage backend, e.g. Cassandra and HBase

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

via hugegraph-spark

yes

via Faunus, a graph analytics engine

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

none

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

edges in graph

yes

Relationships in graphs

yes

Relationships in graph

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

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

optional

yes

Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast

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)

yes

based on H2

Users, roles and permissions

User authentification and security via Rexster Graph Server

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