DBMS > Cachelot.io vs. KairosDB vs. Microsoft Azure Synapse Analytics vs. Sadas Engine

System Properties Comparison Cachelot.io vs. KairosDB vs. Microsoft Azure Synapse Analytics vs. Sadas Engine

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Cachelot.io  Xexclude from comparison	KairosDB  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	Sadas Engine  Xexclude from comparison
Description	In-memory caching system	Distributed Time Series DBMS based on Cassandra or H2	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database model	Key-value store	Time Series DBMS	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.04 Rank #388   Overall #62   Key-value stores	Score 0.67 Rank #233   Overall #20   Time Series DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 0.07 Rank #373   Overall #157   Relational DBMS
Website	cachelot.io	github.com/­kairosdb/­kairosdb	azure.microsoft.com/­services/­synapse-analytics	www.sadasengine.com
Technical documentation		kairosdb.github.io	docs.microsoft.com/­azure/­synapse-analytics	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer			Microsoft	SADAS s.r.l.
Initial release	2015	2013	2016	2006
Current release		1.2.2, November 2018		8.0
License Commercial or Open Source	Open Source Simplified BSD License	Open Source Apache 2.0	commercial	commercial free trial version available
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++	Java	C++	C++
Server operating systems	FreeBSD Linux OS X	Linux OS X Windows	hosted	AIX Linux Windows
Data scheme	schema-free	schema-free	yes	yes
Typing predefined data types such as float or date	no	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	yes	yes
SQL Support of SQL	no	no	yes	yes
APIs and other access methods	Memcached protocol	Graphite protocol HTTP REST Telnet API	ADO.NET JDBC ODBC	JDBC ODBC Proprietary protocol
Supported programming languages	.Net C C++ ColdFusion Erlang Java Lisp Lua OCaml OCaml Perl PHP Python Ruby	Java JavaScript Node.js PHP Python	C# Java PHP	.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures	no	no	Transact SQL	no
Triggers	no	no	no	no
Partitioning methods Methods for storing different data on different nodes	none	Sharding based on Cassandra	Sharding, horizontal partitioning	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	none	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	none	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency	Immediate Consistency
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	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	no	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	no		yes managed by 'Learn by Usage'
User concepts Access control	no	simple password-based access control	yes	Access rights for users, groups and roles according to SQL-standard
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Cachelot.io	KairosDB	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	Sadas Engine
Recent citations in the news		Real-Time Performance and Health Monitoring Using Netdata 2 September 2019, CNX Software Expo: Real Time A/B Testing and Monitoring with Spark Streaming and Kafka at Walmart Labs 24 May 2019, InfoQ.com 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

Share this page