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

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

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonInfluxDB  Xexclude from comparisonMemgraph  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionA 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 metricsAn open source graph database built for real-time streaming and compatible with Neo4jScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelGraph DBMS
Key-value store
Time Series DBMSGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websitewww.graphengine.iowww.influxdata.com/­products/­influxdb-overviewmemgraph.complanetscale.com
Technical documentationwww.graphengine.io/­docs/­manualdocs.influxdata.com/­influxdbmemgraph.com/­docsplanetscale.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMicrosoftMemgraph LtdPlanetScale
Initial release2010201320172020
Current release2.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CGoC and C++Go
Server operating systems.NETLinux
OS X infothrough Homebrew
LinuxDocker
Linux
macOS
Data schemeyesschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes
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 indexesnoyes
SQL infoSupport of SQLnoSQL-like query languagenoyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIHTTP API
JSON over UDP
Bolt protocol
Cypher query language
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
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
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 proceduresyesnoyes infoproprietary syntax
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoin enterprise version onlySharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-source replication using RAFTMulti-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 integritynonoyes inforelationships in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infowith snapshot isolationACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyesyes
User concepts infoAccess controlsimple rights management via user accountsUsers, roles and permissionsUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Graph Engine infoformer name: TrinityInfluxDBMemgraphPlanetScale
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» 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
You can check out our pricing model and licenses on the company website .
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Graph Engine infoformer name: TrinityInfluxDBMemgraphPlanetScale
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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