DBMS > Hawkular Metrics vs. InfinityDB vs. Lovefield vs. Microsoft Azure AI Search

System Properties Comparison Hawkular Metrics vs. InfinityDB vs. Lovefield vs. Microsoft Azure AI Search

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Hawkular Metrics  Xexclude from comparison	InfinityDB  Xexclude from comparison	Lovefield  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison
Description	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	A Java embedded Key-Value Store which extends the Java Map interface	Embeddable relational database for web apps written in pure JavaScript	Search-as-a-service for web and mobile app development
Primary database model	Time Series DBMS	Key-value store	Relational DBMS	Search engine
Secondary database models				Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.33 Rank #286   Overall #131   Relational DBMS	Score 5.52 Rank #59   Overall #6   Search engines
Website	www.hawkular.org	boilerbay.com	google.github.io/­lovefield	azure.microsoft.com/­en-us/­services/­search
Technical documentation	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	boilerbay.com/­infinitydb/­manual	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md	learn.microsoft.com/­en-us/­azure/­search
Developer	Community supported by Red Hat	Boiler Bay Inc.	Google	Microsoft
Initial release	2014	2002	2014	2015
Current release		4.0	2.1.12, February 2017	V1
License Commercial or Open Source	Open Source Apache 2.0	commercial	Open Source Apache 2.0	commercial
Cloud-based only Only available as a cloud service	no	no	no	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java	JavaScript
Server operating systems	Linux OS X Windows	All OS with a Java VM	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari	hosted
Data scheme	schema-free	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	yes	yes
Typing predefined data types such as float or date	yes	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	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 manual creation possible, using inversions based on multi-value capability	yes	yes
SQL Support of SQL	no	no	SQL-like query language via JavaScript builder pattern	no
APIs and other access methods	HTTP REST	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)		RESTful HTTP API
Supported programming languages	Go Java Python Ruby	Java	JavaScript	C# Java JavaScript Python
Server-side scripts Stored procedures	no	no	no	no
Triggers	yes via Hawkular Alerting	no	Using read-only observers	no
Partitioning methods Methods for storing different data on different nodes	Sharding based on Cassandra	none	none	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor based on Cassandra	none	none	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	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency READ-COMMITTED or SERIALIZED		Immediate Consistency
Foreign keys Referential integrity	no	no manual creation possible, using inversions based on multi-value capability	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID Optimistic locking for transactions; no isolation for bulk loads	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes, by using IndexedDB or the cloud service Firebase Realtime Database	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	no	yes using MemoryDB	no
User concepts Access control	no	no	no	yes using Azure authentication
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
	Hawkular Metrics	InfinityDB	Lovefield	Microsoft Azure AI Search
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 Azure OpenAI Service: Transforming legal practices with generative AI solutions 12 June 2024, Microsoft Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard) | Azure updates 2 April 2024, Microsoft Raise the bar on AI-powered app development with Azure Database for PostgreSQL 5 June 2024, Microsoft Microsoft’s Azure AI Search updated with increased storage, vector index size 5 April 2024, InfoWorld provided by Google News

Share this page