DBMS > Hyprcubd vs. Infobright vs. Microsoft Azure Synapse Analytics vs. TimesTen

System Properties Comparison Hyprcubd vs. Infobright vs. Microsoft Azure Synapse Analytics vs. TimesTen

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Editorial information provided by DB-Engines
Name	Hyprcubd  Xexclude from comparison	Infobright  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	TimesTen  Xexclude from comparison
	Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
Description	Serverless Time Series DBMS	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	In-Memory RDBMS compatible to Oracle
Primary database model	Time Series DBMS	Relational DBMS	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.02 Rank #192   Overall #90   Relational DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 1.36 Rank #161   Overall #75   Relational DBMS
Website	hyprcubd.com (offline)	ignitetech.com/­softwarelibrary/­infobrightdb	azure.microsoft.com/­services/­synapse-analytics	www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentation			docs.microsoft.com/­azure/­synapse-analytics	docs.oracle.com/­database/­timesten-18.1
Developer	Hyprcubd, Inc.	Ignite Technologies Inc.; formerly InfoBright Inc.	Microsoft	Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005
Initial release		2005	2016	1998
Current release				11 Release 2 (11.2.2.8.0)
License Commercial or Open Source	commercial	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016	commercial	commercial
Cloud-based only Only available as a cloud service	yes	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Go	C	C++
Server operating systems	hosted	Linux Windows	hosted	AIX HP-UX Linux OS X Solaris SPARC/x86 Windows
Data scheme	yes	yes	yes	yes
Typing predefined data types such as float or date	yes time, int, uint, float, string	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 Knowledge Grid Technology used instead	yes	yes
SQL Support of SQL	SQL-like query language	yes	yes	yes
APIs and other access methods	gRPC (https)	ADO.NET JDBC ODBC	ADO.NET JDBC ODBC	JDBC ODBC ODP.NET Oracle Call Interface (OCI)
Supported programming languages		.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	C# Java PHP	C C++ Java PL/SQL
Server-side scripts Stored procedures	no	no	Transact SQL	PL/SQL
Triggers	no	no	no	no
Partitioning methods Methods for storing different data on different nodes		none	Sharding, horizontal partitioning	none
Replication methods Methods for redundantly storing data on multiple nodes		Source-replica replication	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	Eventual Consistency	Immediate Consistency	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys Referential integrity	no	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	no	ACID	ACID	ACID
Concurrency Support for concurrent manipulation of data	no	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.	no	yes		yes
User concepts Access control	token access	fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities	yes	fine grained access rights according to SQL-standard
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More resources
	Hyprcubd	Infobright	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	TimesTen
Recent citations in the 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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