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DBMS > GeoSpock vs. Hawkular Metrics vs. Ignite vs. PostGIS vs. XTDB

System Properties Comparison GeoSpock vs. Hawkular Metrics vs. Ignite vs. PostGIS vs. XTDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIgnite  Xexclude from comparisonPostGIS  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleHawkular 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.Spatial extension of PostgreSQLA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSTime Series DBMSKey-value store
Relational DBMS
Spatial DBMSDocument store
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Score0.09
Rank#351  Overall
#47  Document stores
Websitegeospock.comwww.hawkular.orgignite.apache.orgpostgis.netgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideapacheignite.readme.io/­docspostgis.net/­documentationwww.xtdb.com/­docs
DeveloperGeoSpockCommunity supported by Red HatApache Software FoundationJuxt Ltd.
Initial release2014201520052019
Current release2.0, September 2019Apache Ignite 2.63.4.2, February 20241.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPL v2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJavaC++, Java, .NetCClojure
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes, extensible-data-notation format
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.nonoyesyesno
Secondary indexestemporal, categoricalnoyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)noANSI-99 for query and DML statements, subset of DDLyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBCHTTP RESTHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
JDBC
Supported programming languagesGo
Java
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Clojure
Java
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)user defined functionsno
Triggersnoyes infovia Hawkular Alertingyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infobased on CassandraShardingyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes (replicated cache)yes infobased on PostgreSQLyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users can be defined per tablenoSecurity Hooks for custom implementationsyes infobased on PostgreSQL

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More resources
GeoSpockHawkular MetricsIgnitePostGISXTDB infoformerly named Crux
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