DBMS > Graph Engine vs. HBase

System Properties Comparison Graph Engine vs. HBase

Please select another system to include it in the comparison.

Our visitors often compare Graph Engine and HBase with Neo4j, Elasticsearch and Google BigQuery.

Editorial information provided by DB-Engines

Name

Description

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

Wide-column store based on Apache Hadoop and on concepts of BigTable

Primary database model

Graph DBMS
Key-value store

Wide column store

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

Score	0.91
Rank	#184	Overall
	#16	Graph DBMS
	#30	Key-value stores

Score	43.19
Rank	#26	Overall
	#2	Wide column stores

Website

www.graphengine.io

hbase.apache.org

Technical documentation

www.graphengine.io/docs/manual

hbase.apache.org

Developer

Microsoft

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Initial release

2010

2008

Current release

2.3.4, January 2021

License

Commercial or Open Source

Open Source

MIT License

Open Source

Apache version 2

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.

Cloudera Operational Database: Cloud-native autonomous Apache HBase for unparalleled scale, performance and reliability. Automate and simplify database management with capabilities like auto-scale, auto-heal, and auto-tune.

Implementation language

.NET and C

Java

Server operating systems

.NET

Linux
Unix
Windows

using Cygwin

Data scheme

yes

schema-free, schema definition possible

Typing

predefined data types such as float or date

yes

options to bring your own types, AVRO

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

APIs and other access methods

RESTful HTTP API

Java API
RESTful HTTP API
Thrift

Supported programming languages

C#
C++
F#
Visual Basic

C
C#
C++
Groovy
Java
PHP
Python
Scala

Server-side scripts

Stored procedures

yes

Coprocessors in Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Single row ACID (across millions of columns)

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage

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 Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

More information provided by the system vendor

Specific characteristics

Apache HBase is the leading NoSQL, distributed database management system, well suited...
» more

Competitive advantages

No single point of failure ensures very high availability with multiple customers...
» more

Typical application scenarios

Internet of Things (IOT), fraud detection applications, recommendation engines, product...
» more

Key customers

Apple, Salesforce, Cerner, Allegis Group, Bloomberg, Airtel, Thomson Reuters, Dish,...
» more

Market metrics

#1 largest NoSQL database by revenue
» more

Licensing and pricing models

Apache license P ricing for commercial distribution provided by Cloudera and available...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Cloudera's HBase PaaS offering now supports Complex Transactions
11 August 2021, Krishna Maheshwari (sponsor)

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

show all

Recent citations in the news

Open source Microsoft Graph Engine takes on Neo4j
13 February 2017, InfoWorld

Microsoft quietly delivers first preview of Graph Engine
15 May 2015, ZDNet

Observe, Inc. Dives Deeper Into Observability
13 May 2022, DevOps.com

Microsoft Graph Engine Is Now an Open-Source Project
13 February 2017, WinBuzzer

Can Streaming Graphs Clean Up the Data Pipeline Mess?
28 March 2022, Datanami

provided by Google News

Review: HBase is massively scalable -- and hugely complex
31 March 2014, InfoWorld

HBase: The database big data left behind
6 May 2016, InfoWorld

The Apache Software Foundation Announces the 10th Anniversary of Apache® HBase
13 May 2020, GlobeNewswire

Big Data Analytics Market Worth $638.66 Billion, Globally, by 2028 at 15.3% CAGR - Exclusive Report by The Insight Partners
25 May 2022, PR Newswire

Overhauling Apache Kylin for the cloud
18 November 2021, InfoWorld

provided by Google News

Job opportunities

Data Analyst- Field Reliability
Tesla, Palo Alto, CA

AWS Redshift Consultant - 4208254
Accenture, Houston, TX

Data Scientist
Source Enterprises, New York, NY

Device Management Developer
Zoom Video Communications, Inc., San Jose, CA

Enterprise Architect, Product
Zoom Video Communications, Inc., San Francisco Bay Area, CA

jobs by

Share this page