DBMS > Hawkular Metrics vs. Netezza vs. SAP Advantage Database Server vs. Transwarp Hippo

System Properties Comparison Hawkular Metrics vs. Netezza vs. SAP Advantage Database Server vs. Transwarp Hippo

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Hawkular Metrics  Xexclude from comparison	Netezza Also called PureData System for Analytics by IBM  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison	Transwarp Hippo  Xexclude from comparison
			SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Data warehouse and analytics appliance part of IBM PureSystems	Low-cost RDBMS with access to ISAM and FoxPro data structures	Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database model	Time Series DBMS	Relational DBMS	Relational DBMS	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 8.59 Rank #45   Overall #29   Relational DBMS		Score 0.05 Rank #386   Overall #14   Vector DBMS
Website	www.hawkular.org	www.ibm.com/­products/­netezza	www.sap.com/products/advantage-database-server.html	www.transwarp.cn/­en/­subproduct/­hippo
Technical documentation	www.hawkular.org/­hawkular-metrics/­docs/­user-guide
Developer	Community supported by Red Hat	IBM	Sybase, SAP
Initial release	2014	2000	1993	2023
Current release				1.0, May 2023
License Commercial or Open Source	Open Source Apache 2.0	commercial	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++
Server operating systems	Linux OS X Windows	Linux included in appliance	Linux Windows	Linux macOS
Data scheme	schema-free	yes	yes
Typing predefined data types such as float or date	yes	yes	yes	Vector, Numeric and String
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	no	yes	yes	no
SQL Support of SQL	no	yes	yes	no
APIs and other access methods	HTTP REST	JDBC ODBC OLE DB	.NET Client API ADO.NET JDBC ODBC OLE DB	RESTful HTTP API
Supported programming languages	Go Java Python Ruby	C C++ Fortran Java Lua Perl Python R	Delphi Perl PHP	C++ Java Python
Server-side scripts Stored procedures	no	yes	yes	no
Triggers	yes via Hawkular Alerting	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding based on Cassandra	Sharding	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor based on Cassandra	Source-replica replication	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	yes	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra		Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	ACID	no
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 caching of (temporary) tables can be configured	yes
User concepts Access control	no	Users with fine-grained authorization concept	fine grained access rights according to SQL-standard	Role based access control and fine grained access rights
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	Netezza Also called PureData System for Analytics by IBM	SAP Advantage Database Server former name: Sybase ADS	Transwarp Hippo
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	Roundup: Telehouse, Cloudera, Netezza, EMC 31 May 2024, Data Center Knowledge IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS 11 July 2023, ibm.com AWS and IBM Netezza come out in support of Iceberg in table format face-off 1 August 2023, The Register How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime | Amazon Web Services 21 August 2019, AWS Blog Netezza Performance Server 12 August 2020, ibm.com provided by Google News	SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

Share this page