DBMS > BigchainDB vs. Oracle Coherence vs. SAP HANA vs. STSdb

System Properties Comparison BigchainDB vs. Oracle Coherence vs. SAP HANA vs. STSdb

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Editorial information provided by DB-Engines

Name

Description

BigchainDB is scalable blockchain database offering decentralization, immutability and native assets

Oracles in-memory data grid solution

In-memory, column based data store. Available as appliance or cloud service

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Primary database model

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	0.76
Rank	#216	Overall
	#36	Document stores

Score	1.90
Rank	#127	Overall
	#21	Key-value stores

Score	41.32
Rank	#23	Overall
	#16	Relational DBMS

Score	0.03
Rank	#365	Overall
	#54	Key-value stores

Website

www.bigchaindb.com

www.oracle.com/java/coherence

www.sap.com/products/hana.html

github.com/STSSoft/STSdb4

Technical documentation

bigchaindb.readthedocs.io/en/latest

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

help.sap.com/hana

Developer

Oracle

SAP

STS Soft SC

Initial release

2016

2007

2010

2011

Current release

14.1, August 2023

2.0 SPS07 (April 4, 2023), April 2023

4.0.8, September 2015

License

Commercial or Open Source

Open Source

AGPL v3

commercial

Open Source

GPLv2, commercial license available

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Python

Java

Server operating systems

Linux

All OS with a Java VM

Appliance or cloud-service

Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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

SQL

Support of SQL

yes

APIs and other access methods

CLI Client
RESTful HTTP API

JCache
JPA
RESTful HTTP API

JDBC
ODBC

.NET Client API

Supported programming languages

Go
Haskell
Java
JavaScript
Python
Ruby

.Net
C++
Java

C#
Java

Server-side scripts

Stored procedures

SQLScript, R

Triggers

yes

Live Events

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

yes, with selectable consistency level

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

configurable

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes,with MongoDB ord RethinkDB

yes

optionally

yes

In-memory capabilities

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

yes

User concepts

Access control

yes

authentification to access the cache via certificates or http basic authentication

yes

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