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 > EJDB vs. Hypertable vs. InfluxDB vs. Neo4j

System Properties Comparison EJDB vs. Hypertable vs. InfluxDB vs. Neo4j

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonHypertable  Xexclude from comparisonInfluxDB  Xexclude from comparisonNeo4j  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)An open source BigTable implementation based on distributed file systems such as HadoopDBMS 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 offerings
Primary database modelDocument storeWide column storeTime Series DBMSGraph DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#314  Overall
#41  Document stores
Score29.55
Rank#29  Overall
#1  Time Series DBMS
Score60.14
Rank#19  Overall
#1  Graph DBMS
Websiteejdb.orgwww.influxdata.com/­products/­influxdb-overviewneo4j.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.influxdata.com/­influxdbneo4j.com/­docs
DeveloperSoftmotionsHypertable Inc.Neo4j, Inc.
Initial release2012200920132007
Current release0.9.8.11, March 20162.0.8, August 20214.4.7, May 2022
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoGNU version 3. Commercial license availableOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version3, 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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageCC++GoJava, Scala
Server operating systemsserver-lessLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X infothrough Homebrew
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idnoNumeric 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.no
Secondary indexesnorestricted infoonly exact value or prefix value scansnoyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsin-process shared libraryC++ API
Thrift
HTTP API
JSON over UDP
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
.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
Server-side scripts infoStored proceduresnononoyes infoUser defined Procedures and Functions
Triggersnononoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoin enterprise version onlyyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor on file system levelselectable replication factor infoin enterprise version onlyCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
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 engine
User concepts infoAccess controlnonosimple rights management via user accountsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
EJDBHypertableInfluxDBNeo4j
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 1,300 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 23,500 GitHub stars Over 600,000 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
News

Particle’s Fleet Health Feature, Powered by InfluxDB, Delivers Device-Specific Data for IoT Deployments
23 May 2022

Prescient Devices Makes Managing IoT Edge Devices Easy with InfluxDB
20 May 2022

TL;DR InfluxDB Tech Tips: Optimizations to aggregateWindow()
19 May 2022

Telegraf 1.22.4 released with updates to Couchbase, Azure, Statsd, and Wavefront plugins
18 May 2022

InfluxDB and Elementary School Science Fairs
16 May 2022

GraphConnect 2022: 10 Sessions You Don’t Want to Miss
24 May 2022

This Week in Neo4j: Graph Composition, Cypher Tips, Dataset Analysis, Kafka Messages, Running Backups, Legal AI, and More
21 May 2022

How Knowledge Graphs Drive More Sales With Real-Time Recommendation Engines
20 May 2022

Our Journey to Self-Discovery: Synthesizing 30 Years of Data Pipelines With Knowledge Graphs
17 May 2022

How Knowledge Graphs Drive More Sales With Real-Time Recommendation Engines
16 May 2022

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
3rd partiesGraphable delivers expert services for Neo4j and other Graph DBMS.
» more

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

More resources
EJDBHypertableInfluxDBNeo4j
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

Recent citations in the news

Automotive Stamping Die Market- increasing demand with Industry Professionals: Dongguan Tangxia Jingke Metals Factory (China), Hankuk Precision (Korea), Hirotec (Japan), Muramoto Electron (Thailand), VNT Automotive (Austria), etc – The Daily Vale
23 May 2022, The Daily Vale

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

Nosql Market demand and future scope with Russia-Ukraine Crisis Impact Analysis –Microsoft SQL Server, MySQL, MongoDB, PostgreSQL, Oracle Database, MongoLab, MarkLogic, Couchbase, CloudDB, DynamoDB, Basho Technologies, Aerospike, IBM, N
23 May 2022, The Daily Vale

NoSQL Databases | When to Use NoSQL vs SQL
19 January 2022, Server Watch

provided by Google News

Time Series Forecasting with TensorFlow and InfluxDB – The New Stack
19 May 2022, thenewstack.io

Monitoring Ruby on Rails with InfluxDB – The New Stack
6 May 2022, thenewstack.io

3 insights you might have missed from 'The Future Is Built on InfluxDB' event
21 May 2022, SiliconANGLE News

Time Series Databases Software Market Grows Significantly by 2022 -2028 | InfluxDB, Axibase Time Series Database, Trendalyze, Prometheus, Warp 10, etc – The Daily Vale
24 May 2022, The Daily Vale

How time series platforms unlock the potential of IoT: Join theCUBE for May 17 event
10 May 2022, SiliconANGLE News

provided by Google News

ICIJ is hiring a new Neo4j Connected Data Fellow
18 May 2022, ICIJ.org

Neo4j Appoints Chief Marketing Officer
10 May 2022, PR Newswire

Graph Databases Software Market Size 2022 Overview by 2029 | Key Players – Neo4j, ArangoDB, SAP, Twitter, The Apache Software Foundation – The Daily Vale
25 May 2022, The Daily Vale

One on One: with Neo4j A/NZ general manager Peter Philipp
13 May 2022, ARNnet

Open-Source Database Software Market to have a Stout Growth in the Near Future – SQLite, Apache Hive, Redis, Neo4j, MariaDB, etc – The Daily Vale
25 May 2022, The Daily Vale

provided by Google News

Job opportunities

PHP Developer
Global Linking Solutions, Inc. (GLS), Remote

SRE Returnship
CyberArk Software, Remote

Recruiter
InfluxData, San Francisco, CA

Storage Engineer - United States, Remote
GoDaddy, Remote

Staff SWE - Product Technology - Product Technology
Indeed, Alabama

Front End Engineer
Radar Talent Group, Remote

Software Developer (Backend)
W@tchTower, Remote

Sales Development Representative (remote)
Neo4j, Boston, MA

Data Engineer
RD Solutions, Remote

Data Scientist (remote)
LinQuest Corporation, Beavercreek, OH

jobs by Indeed



Share this page

Featured Products

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

Neo4j logo

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

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Redis logo

The world’s most loved real‑time data platform.
Try free

The definitive guide for Cassandra

Imagine What You Could Do if Scalability Wasn‘t a Problem!
Download the Cassandra e-book for free!

Present your product here