DBMS > Bangdb vs. LMDB vs. Oracle Coherence vs. Yanza

System Properties Comparison Bangdb vs. LMDB vs. Oracle Coherence vs. Yanza

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Editorial information provided by DB-Engines

Name

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

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

A high performant, light-weight, embedded key-value database library

Oracles in-memory data grid solution

Time Series DBMS for IoT Applications

Primary database model

Document store
Graph DBMS
Time Series DBMS

Key-value store

Time Series DBMS

Secondary database models

Spatial 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	1.99
Rank	#125	Overall
	#21	Key-value stores

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Website

bangdb.com

www.symas.com/symas-embedded-database-lmdb

www.oracle.com/java/coherence

yanza.com

Technical documentation

docs.bangdb.com

www.lmdb.tech/doc

docs.oracle.com/en/middleware/standalone/coherence

Developer

Sachin Sinha, BangDB

Symas

Oracle

Yanza

Initial release

2012

2011

2007

2015

Current release

BangDB 2.0, October 2021

0.9.32, January 2024

14.1, August 2023

License

Commercial or Open Source

Open Source

BSD 3

Open Source

commercial

free version available

Cloud-based only

Only available as a cloud service

but mainly used as a service provided by Yanza

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

Linux
Unix
Windows

All OS with a Java VM

Windows

Data scheme

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.

Secondary indexes

yes

secondary, composite, nested, reverse, geospatial

SQL

Support of SQL

SQL like support with command line tool

APIs and other access methods

Proprietary protocol
RESTful HTTP API

JCache
JPA
RESTful HTTP API

HTTP API

Supported programming languages

C
C#
C++
Java
Python

.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl

.Net
C++
Java

any language that supports HTTP calls

Server-side scripts

Stored procedures

Triggers

yes, Notifications (with Streaming only)

yes

Live Events

yes

Timer and event based

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

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

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

none

yes, with selectable consistency level

none

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

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

configurable

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

optionally

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)

authentification to access the cache via certificates or http basic authentication

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