DBMS > H2GIS vs. Hawkular Metrics vs. LeanXcale vs. Microsoft Azure Table Storage

System Properties Comparison H2GIS vs. Hawkular Metrics vs. LeanXcale vs. Microsoft Azure Table Storage

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	H2GIS  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	LeanXcale  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison
Description	Spatial extension of H2	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities	A Wide Column Store for rapid development using massive semi-structured datasets
Primary database model	Spatial DBMS	Time Series DBMS	Key-value store Relational DBMS	Wide column store
Secondary database models	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.08 Rank #368   Overall #7   Spatial DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.36 Rank #280   Overall #40   Key-value stores #129   Relational DBMS	Score 4.04 Rank #77   Overall #6   Wide column stores
Website	www.h2gis.org	www.hawkular.org	www.leanxcale.com	azure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentation	www.h2gis.org/­docs/­home	www.hawkular.org/­hawkular-metrics/­docs/­user-guide
Developer	CNRS	Community supported by Red Hat	LeanXcale	Microsoft
Initial release	2013	2014	2015	2012
License Commercial or Open Source	Open Source LGPL 3.0	Open Source Apache 2.0	commercial	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
Server operating systems		Linux OS X Windows		hosted
Data scheme	yes	schema-free	yes	schema-free
Typing predefined data types such as float or date	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
Secondary indexes	yes	no		no
SQL Support of SQL	yes	no	yes through Apache Derby	no
APIs and other access methods		HTTP REST	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector	RESTful HTTP API
Supported programming languages	Java	Go Java Python Ruby	C Java Scala	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby
Server-side scripts Stored procedures	yes based on H2	no		no
Triggers	yes	yes via Hawkular Alerting		no
Partitioning methods Methods for storing different data on different nodes	none	Sharding based on Cassandra		Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	yes based on H2	selectable replication factor based on Cassandra		yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
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
Foreign keys Referential integrity	yes	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	ACID	optimistic locking
Concurrency Support for concurrent manipulation of data	yes, multi-version concurrency control (MVCC)	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	yes	no
User concepts Access control	yes based on H2	no		Access rights based on private key authentication or shared access signatures
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
	H2GIS	Hawkular Metrics	LeanXcale	Microsoft Azure Table Storage
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		Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News

Share this page