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DBMS > GRAKN.AI vs. InfluxDB vs. Memgraph

System Properties Comparison GRAKN.AI vs. InfluxDB vs. Memgraph

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Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonInfluxDB  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.DBMS for storing time series, events and metricsA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scale
Primary database modelGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Time Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#257  Overall
#23  Graph DBMS
#120  Relational DBMS
Score19.62
Rank#33  Overall
#1  Time Series DBMS
Score0.05
Rank#318  Overall
#31  Graph DBMS
Websitegrakn.aiwww.influxdata.com/­time-series-platform/­influxdbmemgraph.com
Technical documentationdev.grakn.ai/­docsdocs.influxdata.com/­influxdbmemgraph.com/­docs
DeveloperGrakn Labs LtdMemgraph Ltd
Initial release201620132017
Current release1.5.8, August 20191.7.8, August 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoMIT-License; commercial enterprise version availablecommercial infoFree license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X infothrough Homebrew
Linux
Data schemeyesschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesNumeric 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 indexesyesno
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
HTTP API
JSON over UDP
Bolt protocol
Cypher query language
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.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
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraSharding infoin enterprise version onlySharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandraselectable replication factor infoin enterprise version onlyMulti-Master replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featurenoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineyes
User concepts infoAccess controlyes infoat REST API level; other APIs in progresssimple rights management via user accountsUsers, roles and permissions
More information provided by the system vendor
GRAKN.AIInfluxDBMemgraph
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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More resources
GRAKN.AIInfluxDBMemgraph
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

show all

Conferences and events

Grakn Cosmos, the universal conference of technologies built using Grakn
London, UK, 6-7 February 2020

Recent citations in the news

Get Started With GRAKN.AI
10 March 2017, DZone News

GRAKN.AI: How Haikal Pribadi went from being a refugee to building a database for AI systems
26 October 2017, YourStory.com

What Is an Ontology?
15 March 2017, DZone News

Kannur-based startup ArticBot bets big on machine learning
28 October 2017, YourStory.com

Oracle launches startup cloud accelerator in Bristol
20 September 2017, Cloud Pro

provided by Google News

InfluxDB Cloud 2.0 expands open source time series database
17 September 2019, TechTarget

InfluxData Releases Serverless Time Series Database for Cloud
23 September 2019, ADT Magazine

InfluxData launches InfluxDB Cloud 2.0 – the first serverless time series platform-as-a-service
10 September 2019, Business Wire

An Introduction to InfluxDB
5 August 2019, The Collegian

InfluxData unveils InfluxDB Cloud 2.0, a serverless time series platform
12 September 2019, Help Net Security

provided by Google News

Graph Database Market SWOT Analysis by Players Insights from 2019-2025 | IBM, Microsoft, Oracle
13 September 2019, Daily Watch Reports

FactGem and Memgraph Partner to Give Clients Access to Real-Time, Transaction Based Analytics
1 February 2019, PRNewswire

Graph Database Market Report Examines Latest Trends and Key Drivers Supporting Growth
9 October 2019, 5Gigs News

Graph Database Market 2019 Precise Outlook – IBM, Microsoft, Oracle, AWS, Datastax
16 September 2019, Industry Segment

Graph Database Market To Worth +3 Billion with An Incredible CAGR Of +24 By 2027 Top Players- IBM, Microsoft, Oracle, AWS, Neo4j, Orientdb, Teradata, Tibco Software, Franz, Openlink Software
8 October 2019, Market Report Gazette

provided by Google News

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