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DBMS > Hawkular Metrics vs. ITTIA vs. PostgreSQL vs. Quasardb vs. Realm

System Properties Comparison Hawkular Metrics vs. ITTIA vs. PostgreSQL vs. Quasardb vs. Realm

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonITTIA  Xexclude from comparisonPostgreSQL  Xexclude from comparisonQuasardb  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Edge Time Series DBMS with Real-Time Stream ProcessingWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDistributed, high-performance timeseries databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelTime Series DBMSTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMSDocument store
Secondary database modelsRelational DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitewww.hawkular.orgwww.ittia.comwww.postgresql.orgquasar.airealm.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.postgresql.org/­docsdoc.quasar.ai/­masterrealm.io/­docs
DeveloperCommunity supported by Red HatITTIA L.L.C.PostgreSQL Global Development Group infowww.postgresql.org/­developerquasardbRealm, acquired by MongoDB in May 2019
Initial release201420071989 info1989: Postgres, 1996: PostgreSQL20092014
Current release8.716.3, May 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageJavaC and C++CC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
BSD
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeFixed schemayesschema-freeyes
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesyes infointeger and binaryyes
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.nonoyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnoyesyesyes infowith tagsyes
SQL infoSupport of SQLnoyesyes infostandard with numerous extensionsSQL-like query languageno
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP API
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesGo
Java
Python
Ruby
C
C++
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono inforuns within the applications so server-side scripts are unnecessary
Triggersyes infovia Hawkular Alertingnoyesnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrapartitioning by range, list and (since PostgreSQL 11) by hashSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infoTransient modeyes infoIn-Memory realm
User concepts infoAccess controlnoDatabase file passwordsfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailyes

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More resources
Hawkular MetricsITTIAPostgreSQLQuasardbRealm
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