DBMS > Bangdb vs. Blueflood vs. H2GIS

System Properties Comparison Bangdb vs. Blueflood vs. H2GIS

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Editorial information provided by DB-Engines

Name

Description

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

Scalable TimeSeries DBMS based on Cassandra

Spatial extension of H2

Primary database model

Document store
Graph DBMS
Time Series DBMS

Time Series DBMS

Spatial DBMS

Secondary database models

Spatial DBMS

Relational DBMS

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

Score	0.04
Rank	#336	Overall
	#44	Document stores
	#34	Graph DBMS
	#29	Time Series DBMS

Score	0.00
Rank	#361	Overall
	#33	Time Series DBMS

Score	0.03
Rank	#341	Overall
	#4	Spatial DBMS

Website

bangdb.com

blueflood.io

www.h2gis.org

Technical documentation

bangdb.com/developer

github.com/rackerlabs/blueflood/wiki

www.h2gis.org/docs/home

Developer

Sachin Sinha, BangDB

Rackspace

CNRS

Initial release

2012

2013

Current release

BangDB 2.0, October 2021

License

Commercial or Open Source

Open Source

BSD 3

Open Source

Apache 2.0

Open Source

LGPL 3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C, C++

Java

Server operating systems

Linux

Linux
OS X

Data scheme

schema-free

predefined scheme

yes

Typing

predefined data types such as float or date

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

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

secondary, composite, nested, reverse, geospatial

yes

SQL

Support of SQL

SQL like support with command line tool

yes

APIs and other access methods

Proprietary protocol
RESTful HTTP API

HTTP REST

Supported programming languages

C
C#
C++
Java
Python

Java

Server-side scripts

Stored procedures

yes

based on H2

Triggers

yes, Notifications (with Streaming only)

yes

Partitioning methods

Methods for storing different data on different nodes

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

Sharding

based on Cassandra

none

Replication methods

Methods for redundantly storing data on multiple nodes

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

selectable replication factor

based on Cassandra

yes

based on H2

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable consistency, set CAP knob accordingly

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes, optimistic concurrency control

yes

yes, multi-version concurrency control (MVCC)

Durability

Support for making data persistent

yes, implements WAL (Write ahead log) as well

yes

In-memory capabilities

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

yes, run db with in-memory only mode

yes

User concepts

Access control

yes (enterprise version only)

yes

based on H2

More information provided by the system vendor

Specific characteristics

BangDB is a converged NoSql database platform which natively integrated streaming,...
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Competitive advantages

Converged Platform to break silos for higher scale and performance BangDB is a novel...
» more

Typical application scenarios

IOT and time series data monitoring Devops, servers, network monitoring Real-Time...
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Key customers

Cisco, Accenture, Opera, Airpay, CtrlS, makemytrip, wine central, over 150 SaaS customers
» more

Market metrics

BangDB is one of the fastest databases in the marke with over 2X performance over...
» more

Licensing and pricing models

BangDB community and enterprise model. Details at https://bangdb.com/pricing/
» more

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

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