DBMS > ClickHouse vs. Hazelcast vs. Titan

System Properties Comparison ClickHouse vs. Hazelcast vs. Titan

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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

Column-oriented Relational DBMS powering Yandex

A widely adopted in-memory data grid

Titan is a Graph DBMS optimized for distributed clusters.

Primary database model

Relational DBMS

Key-value store

Graph DBMS

Secondary database models

Time Series DBMS

Document store

JSON support with IMDG 3.12

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

Score	7.66
Rank	#54	Overall
	#31	Relational DBMS

Score	8.42
Rank	#50	Overall
	#6	Key-value stores

Website

clickhouse.tech

hazelcast.com

titan.thinkaurelius.com

Technical documentation

clickhouse.tech/docs

hazelcast.org/imdg/docs

github.com/thinkaurelius/titan/wiki

Developer

Yandex LLC

Hazelcast

Aurelius, owned by DataStax

Initial release

2016

2008

2012

Current release

v20.11.3.3-stable, November 2020

4.1.1, December 2020

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Apache Version 2; commercial licenses available

Open Source

Apache license, version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Java

Server operating systems

FreeBSD
Linux
macOS

All OS with a Java VM

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.

yes

the object must implement a serialization strategy

Secondary indexes

yes

SQL

Support of SQL

Close to ANSI SQL

SQL-like query language

APIs and other access methods

HTTP REST
JDBC
ODBC
Proprietary protocol

JCache
JPA
Memcached protocol
RESTful HTTP API

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

Supported programming languages

3rd party library
C++
Elixir

3rd party library
Go

3rd party library
Java

3rd party library
JavaScript (Node.js)

3rd party library
Kotlin

3rd party library
Nim

3rd party library
Perl

3rd party library
PHP

3rd party library
Python

3rd party library
R

3rd party library
Ruby

3rd party library
Scala

3rd party library

.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala

Clojure
Java
Python

Server-side scripts

Stored procedures

yes

Event Listeners, Executor Services

yes

Triggers

yes

Events

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

via pluggable storage backends

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Replicated Map

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Faunus, a graph analytics engine

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency selectable by user

Raft Consensus Algorithm

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graph

Transaction concepts

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

one or two-phase-commit; repeatable reads; read commited

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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 rights for users and roles

Role-based access control

User authentification and security via Rexster Graph Server

More information provided by the system vendor

Specific characteristics

Hazelcast is an in-memory computing platform that runs applications with extremely...
» more

Competitive advantages

Hazelcast has an optimized, multi-threaded architecture that enables the highest...
» more

Typical application scenarios

Hazelcast powers many types of large-scale, data processing applications. A sample...
» more

Key customers

Hazelcast customers include 50 of the world’s largest financial services companies,...
» more

Licensing and pricing models

Hazelcast provides both open source and commercial software. The open source offering...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources

DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

show all

Recent citations in the news

Altinity grabs $4M seed to build cloud version of ClickHouse open-source data warehouse
1 October 2020, TechCrunch

ClickHouse - from website clicks to ultra-fast analytics solution -
27 April 2020, Enterprise Times

Machine Learning Capabilities Come to the Majority of Open Source Databases with MindsDB AI-Tables
20 October 2020, PR Web

ClickHouse Experiencing Explosive Growth in EU, US and Asia in Q1 2018
23 April 2018, PR Newswire

From Russia with OLAP: Percona uses ClickHouse analytics
10 October 2019, ComputerWeekly.com

provided by Google News

Hazelcast Releases Cloud-based Architecture for Financial Services Risk Management Applications
24 February 2021, PRNewswire

Hazelcast Extends the In-Memory Digital Integration Hub to the Cloud - PRNewswire
3 February 2021, PRNewswire

Hazelcast creates cloud-based reference architecture for financial services risk management applications
24 February 2021, KMWorld Magazine

Hazelcast Broadens Global Partner Program to Drive Cloud Adoption
9 February 2021, PRNewswire

Event Stream Processing Software Market 2021 Technology Advancement – Amazon, IBM, Crosser, Apache Spark, Heron, Confluent, Instaclustr, Hazelcast – KSU | The Sentinel Newspaper
23 February 2021, KSU | The Sentinel Newspaper

provided by Google News

Graph Database Market Growth Share, 2026 Top Companies Analysis – Titan, AWS, Oracle, Apache(Apache Giraph, Teradata(SQL-GR), Twitter(FlockDB), IBM – NY Market Reports
23 February 2021, NY Market Reports

Graph Database Market 2021 Global Share, Growth by Company Overview – Tibco Software, Neo4j, AWS, Microsoft, OrientDB Ltd, triAGENS GmbH(Arango DB), Cray, MarkLogic, Franz Inc(AllegroGraph), Bitnine Global, Cayley, Twitter(FlockDB), Teradata(SQL-GR), IBM, SAP, Apache, Oracle, Titan, Marklogic, HyperGraphDB, Datastax
25 February 2021, NY Market Reports

Graph Database Market 2021 By Top Players, Growth, Trends, Size, Share, Analysis and Forecast to 2025 – The Bisouv Network
16 February 2021, The Bisouv Network

Graph Database Industry Size – The Bisouv Network
16 February 2021, The Bisouv Network

Graph Database Market 2021 Future Scope and Price Analysis of Top Manufacturers Profiles – AWS, Neo4j, Teradata(SQL-GR), SAP etc – FLA News
28 January 2021, FLA News

provided by Google News

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