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DBMS > GigaSpaces vs. Hawkular Metrics vs. PostGIS vs. TimescaleDB vs. Trafodion

System Properties Comparison GigaSpaces vs. Hawkular Metrics vs. PostGIS vs. TimescaleDB vs. Trafodion

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPostGIS  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Spatial extension of PostgreSQLA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSSpatial DBMSTime Series DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitewww.gigaspaces.comwww.hawkular.orgpostgis.netwww.timescale.comtrafodion.apache.org
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidepostgis.net/­documentationdocs.timescale.comtrafodion.apache.org/­documentation.html
DeveloperGigaspaces TechnologiesCommunity supported by Red HatTimescaleApache Software Foundation, originally developed by HP
Initial release20002014200520172014
Current release15.5, September 20203.4.2, February 20242.13.0, November 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open Source infoGPL v2.0Open Source infoApache 2.0Open Source infoApache 2.0
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.
Implementation languageJava, C++, .NetJavaCCC++, Java
Server operating systemsLinux
macOS
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.no infoXML can be used for describing objects metadatanoyesyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnoyesyes infofull PostgreSQL SQL syntaxyes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C++
Java
Python
Scala
Go
Java
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesnouser defined functionsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellJava Stored Procedures
Triggersyes, event driven architectureyes infovia Hawkular Alertingyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrayes infobased on PostgreSQLyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infobased on Cassandrayes infobased on PostgreSQLSource-replica replication with hot standby and reads on replicas infoyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononono
User concepts infoAccess controlRole-based access controlnoyes infobased on PostgreSQLfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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GigaSpacesHawkular MetricsPostGISTimescaleDBTrafodion
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