DBMS > Axibase vs. Hawkular Metrics vs. InfinityDB vs. Microsoft Azure Table Storage

System Properties Comparison Axibase vs. Hawkular Metrics vs. InfinityDB vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
Name	Axibase  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	InfinityDB  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison
Description	Scalable TimeSeries DBMS based on HBase with integrated rule engine and visualization	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	A Wide Column Store for rapid development using massive semi-structured datasets
Primary database model	Time Series DBMS	Time Series DBMS	Key-value store	Wide column store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.35 Rank #282   Overall #25   Time Series DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 4.04 Rank #77   Overall #6   Wide column stores
Website	axibase.com/­docs/­atsd/­finance	www.hawkular.org	boilerbay.com	azure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide	boilerbay.com/­infinitydb/­manual
Developer	Axibase Corporation	Community supported by Red Hat	Boiler Bay Inc.	Microsoft
Initial release	2013	2014	2002	2012
Current release	15585		4.0
License Commercial or Open Source	commercial Community Edition (single node) is free, Enterprise Edition (distributed) is paid	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	Java
Server operating systems	Linux	Linux OS X Windows	All OS with a Java VM	hosted
Data scheme	yes	schema-free	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	schema-free
Typing predefined data types such as float or date	yes short, integer, long, float, double, decimal, string	yes	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	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	no manual creation possible, using inversions based on multi-value capability	no
SQL Support of SQL	SQL-like query language	no	no	no
APIs and other access methods	JDBC Proprietary protocol (Network API) RESTful HTTP API	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 PHP Python R Ruby	Go Java Python Ruby	Java	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby
Server-side scripts Stored procedures	yes	no	no	no
Triggers	yes	yes via Hawkular Alerting	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding based on Cassandra	none	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	selectable replication factor based on Cassandra	none	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	yes	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	no manual creation possible, using inversions based on multi-value capability	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no	ACID Optimistic locking for transactions; no isolation for bulk loads	optimistic locking
Concurrency Support for concurrent manipulation of data	yes	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.		no	no	no
User concepts Access control		no	no	Access rights based on private key authentication or shared access signatures
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More resources
	Axibase	Hawkular Metrics	InfinityDB	Microsoft Azure Table Storage
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