DBMS > FeatureBase vs. Microsoft Azure SQL Database vs. TerminusDB vs. Yanza

System Properties Comparison FeatureBase vs. Microsoft Azure SQL Database vs. TerminusDB 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

Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.

Database as a Service offering with high compatibility to Microsoft SQL Server

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

Time Series DBMS for IoT Applications

Primary database model

Relational DBMS

Graph DBMS

Time Series DBMS

Secondary database models

Document store
Graph DBMS
Spatial DBMS

Document store
RDF store

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

Score	0.23
Rank	#296	Overall
	#134	Relational DBMS

Score	72.95
Rank	#16	Overall
	#11	Relational DBMS

Score	0.19
Rank	#311	Overall
	#27	Graph DBMS

Website

www.featurebase.com

azure.microsoft.com/en-us/products/azure-sql/database

terminusdb.com

yanza.com

Technical documentation

docs.featurebase.com

docs.microsoft.com/en-us/azure/azure-sql

terminusdb.github.io/terminusdb/#

Developer

Molecula and Pilosa Open Source Contributors

Microsoft

DataChemist Ltd.

Yanza

Initial release

2017

2010

2018

2015

Current release

2022, May 2022

V12

11.0.0, January 2023

License

Commercial or Open Source

commercial

Open Source

GPL V3

commercial

free version available

Cloud-based only

Only available as a cloud service

yes

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++

Prolog, Rust

Server operating systems

Linux
macOS

hosted

Linux

Windows

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

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.

yes

Secondary indexes

yes

SQL

Support of SQL

SQL queries

yes

SQL-like query language (WOQL)

APIs and other access methods

gRPC
JDBC
Kafka Connector
ODBC

ADO.NET
JDBC
ODBC

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

HTTP API

Supported programming languages

Java
Python

.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby

JavaScript
Python

any language that supports HTTP calls

Server-side scripts

Stored procedures

Transact SQL

yes

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

Sharding

Graph Partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

yes, with always 3 replicas available

Journaling Streams

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes, using Linux fsync

yes

in-memory journaling

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

fine grained access rights according to SQL-standard

Role-based access control

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More resources

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