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DBMS > InfluxDB vs. OrigoDB vs. Sphinx vs. TypeDB

System Properties Comparison InfluxDB vs. OrigoDB vs. Sphinx vs. TypeDB

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSphinx  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsA fully ACID in-memory object graph databaseOpen source search engine for searching in data from different sources, e.g. relational databasesTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelTime Series DBMSDocument store
Object oriented DBMS
Search engineGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overvieworigodb.comsphinxsearch.comtypedb.com
Technical documentationdocs.influxdata.com/­influxdborigodb.com/­docssphinxsearch.com/­docstypedb.com/­docs
DeveloperRobert Friberg et alSphinx Technologies Inc.Vaticle
Initial release20132009 infounder the name LiveDB20012016
Current release2.7.6, April 20243.5.1, February 20232.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC#C++Java
Server operating systemsLinux
OS X infothrough Homebrew
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateNumeric data and StringsUser defined using .NET types and collectionsnoyes
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.nono infocan be achieved using .NETno
Secondary indexesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (SphinxQL)no
APIs and other access methodsHTTP API
JSON over UDP
.NET Client API
HTTP API
LINQ
Proprietary protocolgRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.NetC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyhorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replicationnoneMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynodepending on modelnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesno
User concepts infoAccess controlsimple rights management via user accountsRole based authorizationnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
InfluxDBOrigoDBSphinxTypeDB infoformerly named Grakn
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» 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
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» 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
InfluxDBOrigoDBSphinxTypeDB infoformerly named Grakn
DB-Engines blog posts

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Recent citations in the news

Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services
14 March 2024, AWS Blog

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, businesswire.com

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

AWS and InfluxData partner to offer managed time series database Timestream for InfluxDB
5 April 2024, VentureBeat

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3 June 2024, Proactive Investors UK

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An Enterprise Data Stack Using TypeDB | by Daniel Crowe
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Modelling Biomedical Data for a Drug Discovery Knowledge Graph
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How Roche Discovered Novel Potential Gene Targets with TypeDB
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provided by Google News



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