DBMS > Hawkular Metrics vs. Microsoft Azure Table Storage vs. Newts vs. Transbase

System Properties Comparison Hawkular Metrics vs. Microsoft Azure Table Storage vs. Newts vs. Transbase

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Editorial information provided by DB-Engines
Name	Hawkular Metrics  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	Newts  Xexclude from comparison	Transbase  Xexclude from comparison
Description	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	A Wide Column Store for rapid development using massive semi-structured datasets	Time Series DBMS based on Cassandra	A resource-optimized, high-performance, universally applicable RDBMS
Primary database model	Time Series DBMS	Wide column store	Time Series DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.07 Rank #375   Overall #41   Time Series DBMS	Score 0.17 Rank #334   Overall #148   Relational DBMS
Website	www.hawkular.org	azure.microsoft.com/­en-us/­services/­storage/­tables	opennms.github.io/­newts	www.transaction.de/­en/­products/­transbase.html
Technical documentation	www.hawkular.org/­hawkular-metrics/­docs/­user-guide		github.com/­OpenNMS/­newts/­wiki	www.transaction.de/­en/­products/­transbase/­features.html
Developer	Community supported by Red Hat	Microsoft	OpenNMS Group	Transaction Software GmbH
Initial release	2014	2012	2014	1987
Current release				Transbase 8.3, 2022
License Commercial or Open Source	Open Source Apache 2.0	commercial	Open Source Apache 2.0	commercial free development license
Cloud-based only Only available as a cloud service	no	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		Java	C and C++
Server operating systems	Linux OS X Windows	hosted	Linux OS X Windows	FreeBSD Linux macOS Solaris Windows
Data scheme	schema-free	schema-free	schema-free	yes
Typing predefined data types such as float or date	yes	yes	yes	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.	no	no	no	no
Secondary indexes	no	no	no	yes
SQL Support of SQL	no	no	no	yes
APIs and other access methods	HTTP REST	RESTful HTTP API	HTTP REST Java API	ADO.NET JDBC ODBC Proprietary native API
Supported programming languages	Go Java Python Ruby	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	Java	C C# C++ Java JavaScript Kotlin Objective-C PHP Python
Server-side scripts Stored procedures	no	no	no	yes
Triggers	yes via Hawkular Alerting	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding based on Cassandra	Sharding Implicit feature of the cloud service	Sharding based on Cassandra
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor based on Cassandra	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	selectable replication factor based on Cassandra	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	optimistic locking	no	yes
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	no	no	no
User concepts Access control	no	Access rights based on private key authentication or shared access signatures	no	fine grained access rights according to SQL-standard
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More resources
	Hawkular Metrics	Microsoft Azure Table Storage	Newts	Transbase
Recent citations in the news	Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News	Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to use Azure Table storage in .Net 14 January 2019, InfoWorld How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange Inside Azure File Storage 7 October 2015, azure.microsoft.com provided by Google News

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