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DBMS > Grakn vs. InfluxDB vs. YugabyteDB

System Properties Comparison Grakn vs. InfluxDB vs. YugabyteDB

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Editorial information provided by DB-Engines
NameGrakn  Xexclude from comparisonInfluxDB  Xexclude from comparisonYugabyteDB  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 metricsHigh-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.
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 DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#206  Overall
#17  Graph DBMS
#99  Relational DBMS
Score21.86
Rank#30  Overall
#1  Time Series DBMS
Score1.04
Rank#159  Overall
#77  Relational DBMS
Websitegrakn.aiwww.influxdata.com/­products/­influxdb-overviewwww.yugabyte.com
Technical documentationdev.grakn.ai/­docsdocs.influxdata.com/­influxdbdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperGrakn LabsYugabyte Inc.
Initial release201620132017
Current release1.8.0, June 20201.8.0, April 20202.1.8.2, June 2020
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0
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
OS X
Data schemeyesschema-freedepending on used data model
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 indexesyesnoyes
SQL infoSupport of SQLnoSQL-like query languageyes, PostgreSQL compatible
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
HTTP API
JSON over UDP
YCQL, an SQL-based flexible-schema API with its roots in Cassandra 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
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infosql, plpgsql, C
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraSharding infoin enterprise version onlyHash and Range Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandraselectable replication factor infoin enterprise version onlyBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
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 ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityno infosubstituted by the relationship featurenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineno
User concepts infoAccess controlyes infoat REST API level; other APIs in progresssimple rights management via user accountsyes
More information provided by the system vendor
GraknInfluxDBYugabyteDB
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Gain Developer Agility Leverage full power of PostgreSQL-compatible SQL and distributed...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Time to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
YugabyteDB is a distributed ACID-compliant database that brings together four must-have...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
IoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
YugabyteDB is a good fit for fast-growing, cloud native applications that need to...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
Open source core with closed source clustering available either on-premise or on...
» more
YugabyteDB is a 100% open source project licensed under the permissive Apache 2.0...
» more
News

Comparing Grakn to Semantic Web Technologies — Part 3/3
26 June 2020

Comparing Grakn to Semantic Web Technologies — Part 2/3
26 June 2020

Comparing Grakn to Semantic Web Technologies — Part 1/3
26 June 2020

Grakn Labs community newsletter for week of June 15 — Grakn Labs Online brings you webinars…
15 June 2020

Comparing Graql to SQL — Part 2/2
18 April 2020

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