DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > InfluxDB vs. Neo4j vs. PouchDB vs. RDF4J vs. SingleStore

System Properties Comparison InfluxDB vs. Neo4j vs. PouchDB vs. RDF4J vs. SingleStore

Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonNeo4j  Xexclude from comparisonPouchDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSingleStore infoformer name was MemSQL  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 offeringsJavaScript DBMS with an API inspired by CouchDBRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelTime Series DBMSGraph DBMSDocument storeRDF storeRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.89
Rank#28  Overall
#1  Time Series DBMS
Score44.36
Rank#23  Overall
#1  Graph DBMS
Score2.70
Rank#114  Overall
#22  Document stores
Score0.72
Rank#234  Overall
#9  RDF stores
Score6.03
Rank#62  Overall
#35  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewneo4j.compouchdb.comrdf4j.orgwww.singlestore.com
Technical documentationdocs.influxdata.com/­influxdbneo4j.com/­docspouchdb.com/­guidesrdf4j.org/­documentationdocs.singlestore.com
DeveloperNeo4j, Inc.Apache Software FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SingleStore Inc.
Initial release20132007201220042013
Current release2.7.5, January 20245.18.1, March 20247.1.1, June 20198.5, January 2024
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version3, commercial licenses availableOpen SourceOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonononono
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.SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageGoJava, ScalaJavaScriptJavaC++, Go
Server operating systemsLinux
OS X infothrough Homebrew
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Unix
Windows
Linux info64 bit version required
Data schemeschema-freeschema-free and schema-optionalschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesnoyesyes
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 infopluggable indexing subsystem, by default Apache Luceneyes infovia viewsyesyes
SQL infoSupport of SQLSQL-like query languagenononoyes infobut no triggers and foreign keys
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
HTTP REST infoonly for PouchDB Server
JavaScript API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
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
JavaScriptJava
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and FunctionsView functions in JavaScriptyesyes
Triggersnoyes infovia event handleryesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyyes using Neo4j FabricSharding infowith a proxy-based framework, named couchdb-loungenoneSharding infohash partitioning
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 onlyMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
noneSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono infocan define user-defined aggregate functions for map-reduce-style calculations
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoin-memory storage is supported as wellyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesyes
User concepts infoAccess controlsimple rights management via user accountsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)nonoFine grained access control via users, groups and roles
More information provided by the system vendor
InfluxDBNeo4jPouchDBRDF4J infoformerly known as SesameSingleStore infoformer name was MemSQL
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
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» 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
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» 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
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» 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
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» 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
Customers in various industries worldwide including US and International Industry...
» 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
F ree Tier and Enterprise Edition
» more
News

Time Series, InfluxDB, and Vector Databases
26 March 2024

Machine Learning and Infrastructure Monitoring: Tools and Justification
20 March 2024

Making Most Recent Value Queries Hundreds of Times Faster
18 March 2024

Telegraf 1.30 Release Notes
15 March 2024

Tale of the Tape: Data Historians vs Time Series Databases
13 March 2024

Neo4j Integrates with Microsoft to Evolve Data Analytics and Enhance GenAI
26 March 2024

This Week in Neo4j: Data Modeling, GenAI, GraphQL, App Development and more
23 March 2024

This Week in Neo4j: Cypher, GenAI, Podcast, Graph Databases and more
16 March 2024

This Week in Neo4j: GenAI, Python, SpringAI, PHP and more
9 March 2024

This Week in Neo4j: GraphAcademy, Algorithms, GenAI, Knowledge Graphs and more
2 March 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
InfluxDBNeo4jPouchDBRDF4J infoformerly known as SesameSingleStore infoformer name was MemSQL
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

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

show all

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

show all

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

show all

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

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

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
15 March 2024, Business Wire

How Apache Arrow accelerates InfluxDB
21 November 2023, InfoWorld

provided by Google News

Neo4j, Microsoft add graph features to Azure AI services
26 March 2024, SiliconANGLE News

Neo4j Announces Collaboration with Microsoft to Advance GenAI and Data Solutions
26 March 2024, PR Newswire

Neo4j collaborates with Microsoft to advance GenAI and data solutions
27 March 2024, Scientific Computing World

Neo4j combines with Microsoft for next generation generative AI solutions -
26 March 2024, Enterprise Times

Neo4j & Microsoft partner to revolutionise Generative AI data insights
26 March 2024, ChannelLife Australia

provided by Google News

Getting Started with PouchDB Client-Side JavaScript Database — SitePoint
7 September 2016, SitePoint

Building an Offline First App with PouchDB — SitePoint
10 March 2014, SitePoint

3 Reasons To Think Offline First
22 March 2017, ibm.com

Create Offline Web Apps Using Service Workers & PouchDB — SitePoint
7 March 2017, SitePoint

Offline-first web and mobile apps: Top frameworks and components
22 January 2019, TechBeacon

provided by Google News

GraphDB Goes Open Source
27 January 2020, iProgrammer

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Markets Insider

provided by Google News

SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

SingleStore adds indexed vector search to Pro Max release for faster AI work – Blocks and Files
29 January 2024, Blocks & Files

SingleStore Accelerates Go-to-Market Strategy with AWS
5 March 2024, Business Wire

SingleStore, Snowflake Help Customers Build Enterprise-Ready Generative AI Apps
3 January 2024, Acceleration Economy

Announcing watsonx.ai and SingleStore for generative AI applications
15 November 2023, ibm.com

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here