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DBMS > GeoSpock vs. GreptimeDB vs. Kinetica vs. Lovefield

System Properties Comparison GeoSpock vs. GreptimeDB vs. Kinetica vs. Lovefield

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGreptimeDB  Xexclude from comparisonKinetica  Xexclude from comparisonLovefield  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 scaleAn open source Time Series DBMS built for increased scalability, high performance and efficiencyFully vectorized database across both GPUs and CPUsEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitegeospock.comgreptime.comwww.kinetica.comgoogle.github.io/­lovefield
Technical documentationdocs.greptime.comdocs.kinetica.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperGeoSpockGreptime Inc.KineticaGoogle
Initial release202220122014
Current release2.0, September 20197.1, August 20212.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptRustC, C++JavaScript
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexestemporal, categoricalyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesSQL-like DML and DDL statementsSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBCgRPC
HTTP API
JDBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnoPythonuser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users can be defined per tableSimple rights management via user accountsAccess rights for users and roles on table levelno
More information provided by the system vendor
GeoSpockGreptimeDBKineticaLovefield
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
GeoSpockGreptimeDBKineticaLovefield
Recent citations in the news

How GeoSpock is supercharging geospatial analytics
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