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DBMS > InfluxDB vs. Neo4j vs. Splice Machine

System Properties Comparison InfluxDB vs. Neo4j vs. Splice Machine

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonNeo4j  Xexclude from comparisonSplice Machine  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 offeringsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewneo4j.comsplicemachine.com
Technical documentationdocs.influxdata.com/­influxdbneo4j.com/­docssplicemachine.com/­how-it-works
DeveloperNeo4j, Inc.Splice Machine
Initial release201320072014
Current release2.7.6, April 20245.19, April 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version3, commercial licenses availableOpen Source infoAGPL 3.0, commercial 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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageGoJava, ScalaJava
Server operating systemsLinux
OS X infothrough Homebrew
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes
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.no
Secondary indexesnoyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLSQL-like query languagenoyes
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
JDBC
Native Spark Datasource
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
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsyes infoJava
Triggersnoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyyes using Neo4j FabricShared Nothhing Auto-Sharding, Columnar 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
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
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)Access rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
InfluxDBNeo4jSplice Machine
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...
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Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
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Neo4j is the market leader, graph database category creator, and the most widely...
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Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
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Real-Time Recommendations Master Data Management Identity and Access Management Network...
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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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More resources
InfluxDBNeo4jSplice Machine
DB-Engines blog posts

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Recent citations in the news

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