DBMS > Hawkular Metrics vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. XTDB

System Properties Comparison Hawkular Metrics vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. XTDB

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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	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison	XTDB formerly named Crux  Xexclude from comparison
			SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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	Low-cost RDBMS with access to ISAM and FoxPro data structures	A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database model	Time Series DBMS	Relational DBMS	Relational DBMS	Document 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 0.18 Rank #332   Overall #46   Document stores
Website	www.hawkular.org	azure.microsoft.com/­services/­synapse-analytics	www.sap.com/products/advantage-database-server.html	github.com/­xtdb/­xtdb www.xtdb.com
Technical documentation	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.microsoft.com/­azure/­synapse-analytics		www.xtdb.com/­docs
Developer	Community supported by Red Hat	Microsoft	Sybase, SAP	Juxt Ltd.
Initial release	2014	2016	1993	2019
Current release				1.19, September 2021
License Commercial or Open Source	Open Source Apache 2.0	commercial	commercial	Open Source MIT 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	C++		Clojure
Server operating systems	Linux OS X Windows	hosted	Linux Windows	All OS with a Java 8 (and higher) VM Linux
Data scheme	schema-free	yes	yes	schema-free
Typing predefined data types such as float or date	yes	yes	yes	yes, extensible-data-notation format
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	yes	yes	yes
SQL Support of SQL	no	yes	yes	limited SQL, making use of Apache Calcite
APIs and other access methods	HTTP REST	ADO.NET JDBC ODBC	.NET Client API ADO.NET JDBC ODBC OLE DB	HTTP REST JDBC
Supported programming languages	Go Java Python Ruby	C# Java PHP	Delphi Perl PHP	Clojure Java
Server-side scripts Stored procedures	no	Transact SQL	yes	no
Triggers	yes via Hawkular Alerting	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding based on Cassandra	Sharding, horizontal partitioning	none	none
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor based on Cassandra	yes	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication	yes, each node contains all data
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	Immediate Consistency
Foreign keys Referential integrity	no	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no		no caching of (temporary) tables can be configured
User concepts Access control	no	yes	fine grained access rights according to SQL-standard
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More resources
	Hawkular Metrics	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	SAP Advantage Database Server former name: Sybase ADS	XTDB formerly named Crux
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	SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

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