DBMS > Galaxybase vs. Hawkular Metrics vs. Microsoft Azure Synapse Analytics vs. TimesTen

System Properties Comparison Galaxybase vs. Hawkular Metrics vs. Microsoft Azure Synapse Analytics vs. TimesTen

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Editorial information provided by DB-Engines
Name	Galaxybase  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	TimesTen  Xexclude from comparison
Description	Scalable, ACID-compliant native distributed parallel graph platform	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	In-Memory RDBMS compatible to Oracle
Primary database model	Graph DBMS	Time Series DBMS	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.07 Rank #377   Overall #40   Graph DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 1.36 Rank #161   Overall #75   Relational DBMS
Website	galaxybase.com	www.hawkular.org	azure.microsoft.com/­services/­synapse-analytics	www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.microsoft.com/­azure/­synapse-analytics	docs.oracle.com/­database/­timesten-18.1
Developer	Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司	Community supported by Red Hat	Microsoft	Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005
Initial release	2017	2014	2016	1998
Current release	Nov 20, November 2021			11 Release 2 (11.2.2.8.0)
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C and Java	Java	C++
Server operating systems	Linux	Linux OS X Windows	hosted	AIX HP-UX Linux OS X Solaris SPARC/x86 Windows
Data scheme	Strong typed schema	schema-free	yes	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	yes	no	yes	yes
SQL Support of SQL	no	no	yes	yes
APIs and other access methods	Browser interface console (shell) Graph API (Gremlin) OpenCypher Proprietary native API	HTTP REST	ADO.NET JDBC ODBC	JDBC ODBC ODP.NET Oracle Call Interface (OCI)
Supported programming languages	Go Java Python	Go Java Python Ruby	C# Java PHP	C C++ Java PL/SQL
Server-side scripts Stored procedures	user defined procedures and functions	no	Transact SQL	PL/SQL
Triggers		yes via Hawkular Alerting	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding based on Cassandra	Sharding, horizontal partitioning	none
Replication methods Methods for redundantly storing data on multiple nodes		selectable replication factor based on Cassandra	yes	Multi-source replication 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	Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys Referential integrity	yes Relationships in graphs	no	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes by means of logfiles and checkpoints
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no		yes
User concepts Access control	Role-based access control	no	yes	fine grained access rights according to SQL-standard
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More resources
	Galaxybase	Hawkular Metrics	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	TimesTen
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, azure.microsoft.com Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, azure.microsoft.com 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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