DBMS > Cachelot.io vs. Hawkular Metrics vs. Microsoft Azure AI Search vs. Postgres-XL

System Properties Comparison Cachelot.io vs. Hawkular Metrics vs. Microsoft Azure AI Search vs. Postgres-XL

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Editorial information provided by DB-Engines
Name	Cachelot.io  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison	Postgres-XL  Xexclude from comparison
Description	In-memory caching system	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Search-as-a-service for web and mobile app development	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database model	Key-value store	Time Series DBMS	Search engine	Relational DBMS
Secondary database models			Vector DBMS	Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.04 Rank #388   Overall #62   Key-value stores	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 5.52 Rank #59   Overall #6   Search engines	Score 0.53 Rank #254   Overall #117   Relational DBMS
Website	cachelot.io	www.hawkular.org	azure.microsoft.com/­en-us/­services/­search	www.postgres-xl.org
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide	learn.microsoft.com/­en-us/­azure/­search	www.postgres-xl.org/­documentation
Developer		Community supported by Red Hat	Microsoft
Initial release	2015	2014	2015	2014 since 2012, originally named StormDB
Current release			V1	10 R1, October 2018
License Commercial or Open Source	Open Source Simplified BSD License	Open Source Apache 2.0	commercial	Open Source Mozilla public license
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
Server operating systems	FreeBSD Linux OS X	Linux OS X Windows	hosted	Linux macOS
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	yes XML type, but no XML query functionality
Secondary indexes	no	no	yes	yes
SQL Support of SQL	no	no	no	yes distributed, parallel query execution
APIs and other access methods	Memcached protocol	HTTP REST	RESTful HTTP API	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	.Net C C++ ColdFusion Erlang Java Lisp Lua OCaml OCaml Perl PHP Python Ruby	Go Java Python Ruby	C# Java JavaScript Python	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	no	no	no	user defined functions
Triggers	no	yes via Hawkular Alerting	no	yes
Partitioning methods Methods for storing different data on different nodes	none	Sharding based on Cassandra	Sharding Implicit feature of the cloud service	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	none	selectable replication factor based on Cassandra	yes Implicit feature of the cloud service
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	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no	no	ACID MVCC
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	no	no
User concepts Access control	no	no	yes using Azure authentication	fine grained access rights according to SQL-standard
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More resources
	Cachelot.io	Hawkular Metrics	Microsoft Azure AI Search	Postgres-XL
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	Announcing updates to Azure AI Search to help organizations build and scale generative AI applications 4 April 2024, Microsoft Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard) | Azure updates 2 April 2024, Microsoft Microsoft’s Azure AI Search updated with increased storage, vector index size 5 April 2024, InfoWorld Azure AI Studio Now Generally Available, Sporting New Models Both Big and Small 21 May 2024, Visual Studio Magazine Microsoft Azure AI adds storage power, large RAG app support 5 April 2024, VentureBeat provided by Google News

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