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DBMS > InfluxDB vs. Neo4j vs. Qdrant vs. RavenDB

System Properties Comparison InfluxDB vs. Neo4j vs. Qdrant vs. RavenDB

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonNeo4j  Xexclude from comparisonQdrant  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA high-performance vector database with neural network or semantic-based matchingOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelTime Series DBMSGraph DBMSVector DBMSDocument store
Secondary database modelsSpatial DBMS infowith GEO packageGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitewww.influxdata.com/­products/­influxdb-overviewneo4j.comgithub.com/­qdrant/­qdrant
qdrant.tech
ravendb.net
Technical documentationdocs.influxdata.com/­influxdbneo4j.com/­docsqdrant.tech/­documentationravendb.net/­docs
DeveloperNeo4j, Inc.QdrantHibernating Rhinos
Initial release2013200720212010
Current release2.7.6, April 20245.20, May 20245.4, July 2022
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2.0Open Source infoAGPL version 3, commercial license 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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageGoJava, ScalaRustC#
Server operating systemsLinux
OS X infothrough Homebrew
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-free and schema-optionalschema-freeschema-free
Typing infopredefined data types such as float or dateNumeric data and StringsyesNumbers, Strings, Geo, Booleanno
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
Secondary indexesnoyes infopluggable indexing subsystem, by default Apache Luceneyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query language (RQL)
APIs and other access methodsHTTP API
JSON over UDP
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsyes
Triggersnoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyyes using Neo4j FabricShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyCollection-level replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency, tunable consistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyes
User concepts infoAccess controlsimple rights management via user accountsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Key-based authenticationAuthorization levels configured per client per database
More information provided by the system vendor
InfluxDBNeo4jQdrantRavenDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Neo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Neo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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