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DBMS > Hawkular Metrics vs. Ignite vs. Teradata

System Properties Comparison Hawkular Metrics vs. Ignite vs. Teradata

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonIgnite  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.hawkular.orgignite.apache.orgwww.teradata.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideapacheignite.readme.io/­docsdocs.teradata.com
DeveloperCommunity supported by Red HatApache Software FoundationTeradata
Initial release201420151984
Current releaseApache Ignite 2.6Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .Net
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
hosted
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesyes
Secondary indexesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyes infoSQL 2016 + extensions
APIs and other access methodsHTTP RESTHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo
Java
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes infoUDFs, stored procedures, table functions in parallel
Triggersyes infovia Hawkular Alertingyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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Hawkular MetricsIgniteTeradata
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