DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > HugeGraph vs. InfluxDB vs. Interbase vs. Vitess

System Properties Comparison HugeGraph vs. InfluxDB vs. Interbase vs. Vitess

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonInfluxDB  Xexclude from comparisonInterbase  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSDBMS for storing time series, events and metricsLight-weight proven RDBMS infooriginally from BorlandScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelGraph DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.influxdata.com/­products/­influxdb-overviewwww.embarcadero.com/­products/­interbasevitess.io
Technical documentationhugegraph.apache.org/­docsdocs.influxdata.com/­influxdbdocs.embarcadero.com/­products/­interbasevitess.io/­docs
DeveloperBaiduEmbarcaderoThe Linux Foundation, PlanetScale
Initial release2018201319842013
Current release0.92.7.6, April 2024InterBase 2020, December 201915.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoApache Version 2.0, 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 languageJavaGoCGo
Server operating systemsLinux
macOS
Unix
Linux
OS X infothrough Homebrew
Android
iOS
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric 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.nonono infoexport as XML data possible
Secondary indexesyes infoalso supports composite index and range indexnoyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyes infowith proprietary extensions
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGroovy
Java
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyes infoInterbase procedure and trigger languageyes infoproprietary syntax
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoin enterprise version onlynoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infoin enterprise version onlyInterbase Change ViewsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyes infoedges in graphnoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes infotable locks or row locks depending on storage engine
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.yesyes infoDepending on used storage engineyesyes
User concepts infoAccess controlUsers, roles and permissionssimple rights management via user accountsfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
HugeGraphInfluxDBInterbaseVitess
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» 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
News

Apache Superset and InfluxDB Cloud 3.0
14 June 2024

Scaling Data Collection: Solving Renewable Energy Challenges with InfluxDB
6 June 2024

Deadman Alerts with Grafana and InfluxDB Cloud 3.0
5 June 2024

Chasing the Skies: Monitoring Flights with InfluxDB
4 June 2024

Monitoring Your Cloud Environments and Applications with InfluxDB
30 May 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
HugeGraphInfluxDBInterbaseVitess
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

Recent citations in the news

POC exploit code published for 9.8-rated Apache HugeGraph RCE flaw
7 June 2024, The Register

Critical Apache HugeGraph Flaw Let Attackers Execute Remote Code
23 April 2024, GBHackers

PoC Exploit Released for High Severity Apache HugeGraph RCE flaw
7 June 2024, CybersecurityNews

AI, Lockbit, Veeam, Club Penguin, Kali, Commando Cat, HugeGraph, Aaran Leyland… – SWN #391
7 June 2024, SC Media

Top 5 CVEs and Vulnerabilities of May 2024
3 June 2024, Security Boulevard

provided by Google 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

provided by Google News

Borland InterBase backdoor detected | ZDNET
11 January 2001, ZDNet

An independent soccer league transforming lives in a slum in Kenya
15 November 2022, FanSided

Johnson Sakaja Donates KSh 200k to Support Cash Strapped Football Teams From Kibera - Tuko.co.ke
21 February 2024, Tuko.co.ke

Malaysian e-commerce firm Lelong.my acquires local digital marketing agency Mataris Agency
29 January 2018, Yahoo Singapore News

The advance of Air Force Esports
25 June 2023, New Zealand Defence Force

provided by Google News

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

They scaled YouTube -- now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

provided by Google News



Share this page

Featured Products

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

Milvus logo

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

Present your product here