DBMS > Axibase vs. Hawkular Metrics vs. Microsoft Azure Data Explorer vs. Postgres-XL

System Properties Comparison Axibase vs. Hawkular Metrics vs. Microsoft Azure Data Explorer vs. Postgres-XL

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Editorial information provided by DB-Engines
Name	Axibase  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	Postgres-XL  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.	Fully managed big data interactive analytics platform	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database model	Time Series DBMS	Time Series DBMS	Relational DBMS column oriented	Relational DBMS
Secondary database models			Document store If a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell Event Store this is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps) Spatial DBMS Search engine support for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine Time Series DBMS see docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis	Document store Spatial DBMS
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 3.80 Rank #81   Overall #43   Relational DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS
Website	axibase.com/­docs/­atsd/­finance	www.hawkular.org	azure.microsoft.com/­services/­data-explorer	www.postgres-xl.org
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.microsoft.com/­en-us/­azure/­data-explorer	www.postgres-xl.org/­documentation
Developer	Axibase Corporation	Community supported by Red Hat	Microsoft
Initial release	2013	2014	2019	2014 since 2012, originally named StormDB
Current release	15585		cloud service with continuous releases	10 R1, October 2018
License Commercial or Open Source	commercial Community Edition (single node) is free, Enterprise Edition (distributed) is paid	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	Java	Java		C
Server operating systems	Linux	Linux OS X Windows	hosted	Linux macOS
Data scheme	yes	schema-free	Fixed schema with schema-less datatypes (dynamic)	yes
Typing predefined data types such as float or date	yes short, integer, long, float, double, decimal, string	yes	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	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	yes	yes XML type, but no XML query functionality
Secondary indexes	no	no	all fields are automatically indexed	yes
SQL Support of SQL	SQL-like query language	no	Kusto Query Language (KQL), SQL subset	yes distributed, parallel query execution
APIs and other access methods	JDBC Proprietary protocol (Network API) RESTful HTTP API	HTTP REST	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	Go Java PHP Python R Ruby	Go Java Python Ruby	.Net Go Java JavaScript (Node.js) PowerShell Python R	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	yes	no	Yes, possible languages: KQL, Python, R	user defined functions
Triggers	yes	yes via Hawkular Alerting	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding based on Cassandra	Sharding Implicit feature of the cloud service	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	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	yes	no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark	no
Consistency concepts Methods to ensure consistency in a distributed system		Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency 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	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	Azure Active Directory Authentication	fine grained access rights according to SQL-standard
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More resources
	Axibase	Hawkular Metrics	Microsoft Azure Data Explorer	Postgres-XL
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