DBMS > Bangdb vs. Elasticsearch

System Properties Comparison Bangdb vs. Elasticsearch

Please select another system to include it in the comparison.

Our visitors often compare Bangdb and Elasticsearch with MongoDB.

Editorial information provided by DB-Engines

Name

Description

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

A distributed, RESTful modern search and analytics engine based on Apache Lucene

Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric

Primary database model

Document store
Graph DBMS
Time Series DBMS

Search engine

Secondary database models

Spatial DBMS

Document store
Spatial DBMS
Vector DBMS

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

Score	0.36
Rank	#313	Overall
	#45	Document stores
	#26	Graph DBMS
	#26	Time Series DBMS

Score	138.98
Rank	#7	Overall
	#1	Search engines

Website

bangdb.com

www.elastic.co/elasticsearch

Technical documentation

docs.bangdb.com

www.elastic.co/guide/en/elasticsearch/reference/current/index.html

Developer

Sachin Sinha, BangDB

Elastic

Initial release

2012

2010

Current release

BangDB 2.0, October 2021

8.6, January 2023

License

Commercial or Open Source

Open Source

BSD 3

Open Source

Elastic License

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, C++

Java

Server operating systems

Linux

All OS with a Java VM

Data scheme

schema-free

Flexible type definitions. Once a type is defined, it is persistent

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

All search fields are automatically indexed

SQL

Support of SQL

SQL like support with command line tool

SQL-like query language

APIs and other access methods

Proprietary protocol
RESTful HTTP API

Java API
RESTful HTTP/JSON API

Supported programming languages

C
C#
C++
Java
Python

.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes, Notifications (with Streaming only)

yes

by using the 'percolation' feature

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

Replication methods

Methods for redundantly storing data on multiple nodes

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

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable consistency, set CAP knob accordingly

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Foreign keys

Referential integrity

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

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

Memcached and Redis integration

User concepts

Access control

yes (enterprise version only)

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

DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Recent citations in the news

Subscription customer growth prompts Elastic share surge in late ...
31 August 2023, SiliconANGLE News

Digital Risk Protection Firm DarkBeam Leaks Billions of Email and ...
28 September 2023, WinBuzzer

Cisco Catalyst SD-WAN Manager flaw allows remote server access
28 September 2023, BleepingComputer

Elastic Announces AI Assistant for Observability and General ...
19 September 2023, Business Wire

Does your enterprise need a vector database for LLM search?
11 September 2023, TechTalks

provided by Google News

Job opportunities

2024 Software Engineering Recent Grad Positions – Cat Digital
Caterpillar, Chicago, IL

.Net core
eTeam Inc., Texas

Entry Level Python Developer - 93
I28 Technologies Corporation, Remote

C#/ .NET Developer
Gazelle Global Consulting, Remote

Software Engineer 0
SilverEdge, Fort Meade, MD

jobs by

Share this page