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DBMS > InfluxDB vs. NebulaGraph

System Properties Comparison InfluxDB vs. NebulaGraph

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonNebulaGraph  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsA distributed, linear scalable, high perfomant Graph DBMS
Primary database modelTime Series DBMSGraph DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.54
Rank#28  Overall
#1  Time Series DBMS
Score1.61
Rank#136  Overall
#11  Graph DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
Technical documentationdocs.influxdata.com/­influxdbdocs.nebula-graph.io
DeveloperVesoft Inc.
Initial release20132019
Current release2.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2.0 + Common Clause 1.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsLinux
OS X infothrough Homebrew
Linux
Data schemeschema-freeStrong typed schema
Typing infopredefined data types such as float or dateNumeric 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.nono
Secondary indexesnoyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.
SQL infoSupport of SQLSQL-like query languageSQL-like query language
APIs and other access methodsHTTP API
JSON over UDP
Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C++
Go
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyCausal Clustering using Raft protocol
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infousing RocksDB
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 accountsRole-based access control
More information provided by the system vendor
InfluxDBNebulaGraph
News

Building Smarter Manufacturing Systems with Bosch Rexroth and InfluxDB
23 April 2025

Build a Time Series Forecasting Pipeline in InfluxDB 3 Without Writing Code
17 April 2025

InfluxDB 3 Core & Enterprise GA: The Next Generation Time Series Platform for Developers is Here
15 April 2025

Deadman Alerts with the Python Processing Engine
9 April 2025

Optimizing SQL (and DataFrames) in DataFusion: Part 2
3 April 2025

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More resources
InfluxDBNebulaGraph
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

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Recent citations in the news

InfluxData clocks in on time-series software development
24 April 2025, techzine.eu

InfluxData rolls out InfluxDB 3 to power real-time apps at scale
15 April 2025, Blocks and Files

InfluxData Releases InfluxDB 3 Core and InfluxDB 3 Enterprise
16 April 2025, Database Trends and Applications

InfluxData Announces General Availability of InfluxDB 3 Core and InfluxDB 3 Enterprise, Simplifying How Developers Build with Time Series Data
15 April 2025, Business Wire

Time series data: AWS/InfluxDB team up for open-source innovation
7 April 2025, SiliconANGLE

provided by Google News

NebulaGraph reaps from China’s growing appetite for graph databases
16 September 2022, TechCrunch

LlamaIndex Unveils Notebook Implementation of GraphRAG
17 July 2024, Analytics India Magazine

Nebula Graph an open source graph-oriented DBMS
30 January 2021, Desde Linux

provided by Google News



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