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DBMS > GeoMesa vs. GeoSpock vs. Hawkular Metrics vs. Kdb vs. QuestDB

System Properties Comparison GeoMesa vs. GeoSpock vs. Hawkular Metrics vs. Kdb vs. QuestDB

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGeoSpock  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKdb  Xexclude from comparisonQuestDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spatial 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.High performance Time Series DBMSA high performance open source SQL database for time series data
Primary database modelSpatial DBMSRelational DBMSTime Series DBMSTime Series DBMS
Vector DBMS
Time Series DBMS
Secondary database modelsTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitewww.geomesa.orggeospock.comwww.hawkular.orgkx.comquestdb.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecode.kx.comquestdb.io/­docs
DeveloperCCRi and othersGeoSpockCommunity supported by Red HatKx Systems, a division of First Derivatives plcQuestDB Technology Inc
Initial release201420142000 infokdb was released 2000, kdb+ in 20032014
Current release5.0.0, May 20242.0, September 20193.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache 2.0commercial infofree 32-bit versionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJava, JavascriptJavaqJava (Zero-GC), C++, Rust
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesschema-freeyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyesno
Secondary indexesyestemporal, categoricalnoyes infotable attribute 'grouped'no
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)noSQL-like query language (q)SQL with time-series extensions
APIs and other access methodsJDBCHTTP RESTHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesGo
Java
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnononouser defined functionsno
Triggersnonoyes infovia Hawkular Alertingyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerAutomatic shardingSharding infobased on Cassandrahorizontal partitioninghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerselectable replication factor infobased on CassandraSource-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate 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 datanonononoACID for single-table writes
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.depending on storage layernonoyesyes infothrough memory mapped files
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users can be defined per tablenorights management via user accounts
More information provided by the system vendor
GeoMesaGeoSpockHawkular MetricsKdbQuestDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Relational model with native time series support Column-based storage and time partitioned...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
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Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
GeoMesaGeoSpockHawkular MetricsKdbQuestDB
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