DBMS > Hawkular Metrics vs. IBM Db2 Event Store vs. searchxml vs. Transwarp StellarDB

System Properties Comparison Hawkular Metrics vs. IBM Db2 Event Store vs. searchxml vs. Transwarp StellarDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Hawkular Metrics  Xexclude from comparison	IBM Db2 Event Store  Xexclude from comparison	searchxml  Xexclude from comparison	Transwarp StellarDB  Xexclude from comparison
Description	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Distributed Event Store optimized for Internet of Things use cases	DBMS for structured and unstructured content wrapped with an application server	A distributed graph DBMS built for enterprise-level graph applications
Primary database model	Time Series DBMS	Event Store Time Series DBMS	Native XML DBMS Search engine	Graph DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.27 Rank #309   Overall #2   Event Stores #28   Time Series DBMS	Score 0.03 Rank #390   Overall #7   Native XML DBMS #24   Search engines	Score 0.07 Rank #371   Overall #39   Graph DBMS
Website	www.hawkular.org	www.ibm.com/­products/­db2-event-store	www.searchxml.net/­category/­products	www.transwarp.cn/­en/­product/­stellardb
Technical documentation	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	www.ibm.com/­docs/­en/­db2-event-store	www.searchxml.net/­support/­handouts
Developer	Community supported by Red Hat	IBM	informationpartners gmbh	Transwarp
Initial release	2014	2017	2015
Current release		2.0	1.0
License Commercial or Open Source	Open Source Apache 2.0	commercial free developer edition available	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C and C++	C++
Server operating systems	Linux OS X Windows	Linux Linux, macOS, Windows for the developer addition	Windows
Data scheme	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	yes
Secondary indexes	no	no	yes
SQL Support of SQL	no	yes through the embedded Spark runtime	no	SQL-like query language
APIs and other access methods	HTTP REST	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API	RESTful HTTP API WebDAV XQuery XSLT	OpenCypher
Supported programming languages	Go Java Python Ruby	C C# C++ Cobol Delphi Fortran Go Java JavaScript (Node.js) Perl PHP Python R Ruby Scala Visual Basic	C++ most other programming languages supported via APIs
Server-side scripts Stored procedures	no	yes	yes on the application server
Triggers	yes via Hawkular Alerting	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding based on Cassandra	Sharding	none	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor based on Cassandra	Active-active shard replication	yes sychronisation to multiple collections
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	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
Foreign keys Referential integrity	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no	multiple readers, single writer
Concurrency Support for concurrent manipulation of data	yes	No - written data is immutable	yes	yes
Durability Support for making data persistent	yes	Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes	no
User concepts Access control	no	fine grained access rights according to SQL-standard	Domain, group and role-based access control at the document level and for application services	yes
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	IBM Db2 Event Store	searchxml	Transwarp StellarDB
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	Advancements in streaming data storage, real-time analysis and machine learning 25 July 2019, IBM How IBM Is Turning Db2 into an 'AI Database' 3 June 2019, Datanami Best cloud databases of 2022 4 October 2022, ITPro Why a robust data management strategy is essential today | IBM HDM 19 September 2019, Express Computer provided by Google News

Share this page