DBMS > Apache HBase vs. Bangdb

System Properties Comparison Apache HBase vs. Bangdb

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Editorial information provided by DB-Engines

Name

Description

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

Converged and high performance database for device data, events, time series, document and graph

Primary database model

Wide column store

Document store
Graph DBMS
Time Series DBMS

Secondary database models

Spatial DBMS

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

Score	22.12
Rank	#27	Overall
	#3	Wide column stores

Score	0.07
Rank	#346	Overall
	#48	Document stores
	#35	Graph DBMS
	#33	Time Series DBMS

Website

hbase.apache.org

bangdb.com

Technical documentation

hbase.apache.org/book.html

docs.bangdb.com

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Sachin Sinha, BangDB

Initial release

2008

2012

Current release

2.3.4, January 2021

BangDB 2.0, October 2021

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

BSD 3

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Java

C, C++

Server operating systems

Linux
Unix
Windows

using Cygwin

Linux

Data scheme

schema-free, schema definition possible

schema-free

Typing

predefined data types such as float or date

options to bring your own types, AVRO

yes: string, long, double, int, geospatial, stream, events

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

secondary, composite, nested, reverse, geospatial

SQL

Support of SQL

SQL like support with command line tool

APIs and other access methods

Java API
RESTful HTTP API
Thrift

Proprietary protocol
RESTful HTTP API

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

C
C#
C++
Java
Python

Server-side scripts

Stored procedures

yes

Coprocessors in Java

Triggers

yes

yes, Notifications (with Streaming only)

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

selectable replication factor, Knob for CAP (enterprise version only)

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

Tunable consistency, set CAP knob accordingly

Foreign keys

Referential integrity

Transaction concepts

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

Single row ACID (across millions of columns)

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, optimistic concurrency control

Durability

Support for making data persistent

yes

yes, implements WAL (Write ahead log) as well

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

yes, run db with in-memory only mode

User concepts

Access control

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

yes (enterprise version only)

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