DBMS > Apache HBase vs. Graph Engine vs. NSDb

System Properties Comparison Apache HBase vs. Graph Engine vs. NSDb

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

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

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

Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes

Primary database model

Wide column store

Graph DBMS
Key-value store

Time Series DBMS

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

Score	25.00
Rank	#26	Overall
	#2	Wide column stores

Score	0.58
Rank	#238	Overall
	#21	Graph DBMS
	#33	Key-value stores

Score	0.00
Rank	#392	Overall
	#44	Time Series DBMS

Website

hbase.apache.org

www.graphengine.io

nsdb.io

Technical documentation

hbase.apache.org/book.html

www.graphengine.io/docs/manual

nsdb.io/Architecture

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Microsoft

Initial release

2008

2010

2017

Current release

2.3.4, January 2021

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

MIT License

Open Source

Apache 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

Java

.NET and C

Java, Scala

Server operating systems

Linux
Unix
Windows

using Cygwin

.NET

Linux
macOS

Data scheme

schema-free, schema definition possible

yes

Typing

predefined data types such as float or date

options to bring your own types, AVRO

yes

yes: int, bigint, decimal, string

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

all fields are automatically indexed

SQL

Support of SQL

SQL-like query language

APIs and other access methods

Java API
RESTful HTTP API
Thrift

RESTful HTTP API

gRPC
HTTP REST
WebSocket

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

C#
C++
F#
Visual Basic

Java
Scala

Server-side scripts

Stored procedures

yes

Coprocessors in Java

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

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

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

yes

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

Using Apache Lucene

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

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

Recent citations in the news

Apache HBase online migration to Amazon EMR
23 October 2024, AWS Blog

HydraBase – The evolution of HBase@Facebook
5 June 2014, Facebook Engineering

Set up a standalone HBase local instance and connect to it with Python Happybase
9 February 2020, Towards Data Science

How to interact with HBase using HBase shell [Tutorial]
25 June 2018, packtpub.com

Horizontal Scalability with HBase
26 November 2013, Ericsson

provided by Google News

Trinity
30 October 2010, Microsoft

Preview Version of the New Microsoft Academic Search Engine is Now Online, API Also Available
29 February 2016, LJ INFOdocket

IBM releases Graph, a service that can outperform SQL databases
27 July 2016, GeekWire

Microsoft Demos New Office 365 and SharePoint Online Collaboration Technologies
3 March 2014, redmondmag.com

How Google and Microsoft taught search to “understand” the Web
6 June 2012, Ars Technica

provided by Google News

Share this page