DBMS > Hawkular Metrics vs. Microsoft Azure Synapse Analytics vs. NSDb vs. STSdb

System Properties Comparison Hawkular Metrics vs. Microsoft Azure Synapse Analytics vs. NSDb vs. STSdb

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Editorial information provided by DB-Engines
Name	Hawkular Metrics  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	NSDb  Xexclude from comparison	STSdb  Xexclude from comparison
Description	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes	Key-Value Store with special method for indexing optimized for high performance using a special indexing method
Primary database model	Time Series DBMS	Relational DBMS	Time Series DBMS	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 0.08 Rank #369   Overall #40   Time Series DBMS	Score 0.10 Rank #357   Overall #51   Key-value stores
Website	www.hawkular.org	azure.microsoft.com/­services/­synapse-analytics	nsdb.io	github.com/­STSSoft/­STSdb4
Technical documentation	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.microsoft.com/­azure/­synapse-analytics	nsdb.io/­Architecture
Developer	Community supported by Red Hat	Microsoft		STS Soft SC
Initial release	2014	2016	2017	2011
Current release				4.0.8, September 2015
License Commercial or Open Source	Open Source Apache 2.0	commercial	Open Source Apache Version 2.0	Open Source GPLv2, commercial license available
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	C++	Java, Scala	C#
Server operating systems	Linux OS X Windows	hosted	Linux macOS	Windows
Data scheme	schema-free	yes		yes
Typing predefined data types such as float or date	yes	yes	yes: int, bigint, decimal, string	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.	no	no	no
Secondary indexes	no	yes	all fields are automatically indexed	no
SQL Support of SQL	no	yes	SQL-like query language	no
APIs and other access methods	HTTP REST	ADO.NET JDBC ODBC	gRPC HTTP REST WebSocket	.NET Client API
Supported programming languages	Go Java Python Ruby	C# Java PHP	Java Scala	C# Java
Server-side scripts Stored procedures	no	Transact SQL	no	no
Triggers	yes via Hawkular Alerting	no		no
Partitioning methods Methods for storing different data on different nodes	Sharding based on Cassandra	Sharding, horizontal partitioning	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor based on Cassandra	yes		none
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
Foreign keys Referential integrity	no	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	no	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	Using Apache Lucene	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no
User concepts Access control	no	yes		no
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More resources
	Hawkular Metrics	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	NSDb	STSdb
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	General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA | Azure updates 8 April 2024, Microsoft Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, Microsoft Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform 24 September 2023, DataScientest Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services 18 October 2023, AWS Blog Azure Synapse vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek provided by Google News

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