DBMS > Microsoft Azure Synapse Analytics vs. OpenTSDB vs. Oracle Coherence vs. WakandaDB vs. Yanza

System Properties Comparison Microsoft Azure Synapse Analytics vs. OpenTSDB vs. Oracle Coherence vs. WakandaDB vs. Yanza

Editorial information provided by DB-Engines

Name

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

Description

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

Scalable Time Series DBMS based on HBase

Oracles in-memory data grid solution

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Time Series DBMS for IoT Applications

Primary database model

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

Score	20.56
Rank	#31	Overall
	#19	Relational DBMS

Score	1.68
Rank	#146	Overall
	#12	Time Series DBMS

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

Score	0.03
Rank	#364	Overall
	#17	Object oriented DBMS

Website

azure.microsoft.com/services/synapse-analytics

opentsdb.net

www.oracle.com/java/coherence

wakanda.github.io

yanza.com

Technical documentation

docs.microsoft.com/azure/synapse-analytics

opentsdb.net/docs/build/html/index.html

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

wakanda.github.io/doc

Developer

Microsoft

currently maintained by Yahoo and other contributors

Oracle

Wakanda SAS

Yanza

Initial release

2016

2011

2007

2012

2015

Current release

14.1, August 2023

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

commercial

Open Source

LGPL

commercial

Open Source

AGPLv3, extended commercial license available

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++

Java

C++, JavaScript

Server operating systems

hosted

Linux
Windows

All OS with a Java VM

Linux
OS X
Windows

Windows

Data scheme

yes

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

numeric data for metrics, strings for tags

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

SQL

Support of SQL

yes

APIs and other access methods

ADO.NET
JDBC
ODBC

HTTP API
Telnet API

JCache
JPA
RESTful HTTP API

RESTful HTTP API

HTTP API

Supported programming languages

C#
Java
PHP

Erlang
Go
Java
Python
R
Ruby

.Net
C++
Java

JavaScript

any language that supports HTTP calls

Server-side scripts

Stored procedures

Transact SQL

yes

Triggers

yes

Live Events

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

Sharding

based on HBase

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor

based on HBase

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

Immediate Consistency

based on HBase

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

Transaction concepts

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

ACID

configurable

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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

More information provided by the system vendor

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More resources

DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

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