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DBMS > GeoSpock vs. Graph Engine vs. InfluxDB vs. PlanetScale

System Properties Comparison GeoSpock vs. Graph Engine vs. InfluxDB vs. PlanetScale

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonInfluxDB  Xexclude from comparisonPlanetScale  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 scaleA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDBMS for storing time series, events and metricsScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelRelational DBMSGraph DBMS
Key-value store
Time Series DBMSRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websitegeospock.comwww.graphengine.iowww.influxdata.com/­products/­influxdb-overviewplanetscale.com
Technical documentationwww.graphengine.io/­docs/­manualdocs.influxdata.com/­influxdbplanetscale.com/­docs
DeveloperGeoSpockMicrosoftPlanetScale
Initial release201020132020
Current release2.0, September 20192.7.6, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoMIT-License; commercial enterprise version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Javascript.NET and CGoGo
Server operating systemshosted.NETLinux
OS X infothrough Homebrew
Docker
Linux
macOS
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes
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.nonono
Secondary indexestemporal, categoricalnoyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)noSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsJDBCRESTful HTTP APIHTTP API
JSON over UDP
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
C++
F#
Visual Basic
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesnoyes infoproprietary syntax
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioningSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoDepending on used storage engineyes
User concepts infoAccess controlAccess rights for users can be defined per tablesimple rights management via user accountsUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
GeoSpockGraph Engine infoformer name: TrinityInfluxDBPlanetScale
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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More resources
GeoSpockGraph Engine infoformer name: TrinityInfluxDBPlanetScale
DB-Engines blog posts

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