DBMS > Bangdb vs. IBM Db2 warehouse vs. Immudb vs. SWC-DB

System Properties Comparison Bangdb vs. IBM Db2 warehouse vs. Immudb vs. SWC-DB

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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

Cloud-based data warehousing service

An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.

A high performance, scalable Wide Column DBMS

Primary database model

Document store
Graph DBMS
Time Series DBMS

Relational DBMS

Key-value store

Wide column store

Secondary database models

Spatial DBMS

Relational DBMS

Time Series DBMS

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

Score	0.08
Rank	#347	Overall
	#47	Document stores
	#34	Graph DBMS
	#31	Time Series DBMS

Score	1.30
Rank	#164	Overall
	#75	Relational DBMS

Score	0.24
Rank	#305	Overall
	#43	Key-value stores

Score	0.01
Rank	#376	Overall
	#13	Wide column stores

Website

bangdb.com

www.ibm.com/products/db2/warehouse

github.com/codenotary/immudb
immudb.io

github.com/kashirin-alex/swc-db
www.swcdb.org

Technical documentation

docs.bangdb.com

docs.immudb.io

Developer

Sachin Sinha, BangDB

IBM

Codenotary

Alex Kashirin

Initial release

2012

2014

2020

Current release

BangDB 2.0, October 2021

1.2.3, April 2022

0.5, April 2021

License

Commercial or Open Source

Open Source

BSD 3

commercial

Open Source

Apache Version 2.0

Open Source

GPL V3

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C, C++

C++

Server operating systems

Linux

hosted

BSD
Linux
macOS
Solaris
Windows
z/OS

Linux

Data scheme

schema-free

yes

schema-free

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.

Import/export of XML data possible

Secondary indexes

yes

secondary, composite, nested, reverse, geospatial

yes

SQL

Support of SQL

SQL like support with command line tool

yes

SQL-like syntax

SQL-like query language

APIs and other access methods

Proprietary protocol
RESTful HTTP API

.NET Client API
JDBC
ODBC
OLE DB

gRPC protocol
PostgreSQL wire protocol

Proprietary protocol
Thrift

Supported programming languages

C
C#
C++
Java
Python

Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

.Net
Go
Java
JavaScript (Node.js)
Python

C++

Server-side scripts

Stored procedures

PL/SQL, SQL PL

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

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

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable consistency, set CAP knob accordingly

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

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)

fine grained access rights according to SQL-standard

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