DB-EngineseXtremeDB: Active Replication Fabric for Reliable IoT Database ManagementEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > InfluxDB vs. LeanXcale vs. RDF4J vs. Sequoiadb

System Properties Comparison InfluxDB vs. LeanXcale vs. RDF4J vs. Sequoiadb

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.NewSQL database with distributed OLTP and SQL
Primary database modelTime Series DBMSKey-value store
Relational DBMS
RDF storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.34
Rank#29  Overall
#1  Time Series DBMS
Score0.31
Rank#261  Overall
#45  Key-value stores
#119  Relational DBMS
Score0.55
Rank#219  Overall
#9  RDF stores
Score0.35
Rank#252  Overall
#34  Document stores
#115  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.leanxcale.comrdf4j.orgwww.sequoiadb.com
Technical documentationdocs.influxdata.com/­influxdbrdf4j.org/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperLeanXcaleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sequoiadb Ltd.
Initial release2013201520042013
Current release1.8.0, April 2020
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoServer: AGPL; Client: Apache V2
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 languageGoJavaC++
Server operating systemsLinux
OS X infothrough Homebrew
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes infooid, date, timestamp, binary, regex
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 indexesnoyesyes
SQL infoSupport of SQLSQL-like query languageyes infothrough Apache DerbynoSQL-like query language
APIs and other access methodsHTTP API
JSON over UDP
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
proprietary protocol using JSON
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
Java
Scala
Java
PHP
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesJavaScript
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlynoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoIsolation support depends on the API usedDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesno
User concepts infoAccess controlsimple rights management via user accountsnosimple password-based access control
More information provided by the system vendor
InfluxDBLeanXcaleRDF4J infoformerly known as SesameSequoiadb
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Full ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Linear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Hybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
banking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
15 beta testers
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
annual fee covering license and support based on number of physical cores
» more

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
InfluxDBLeanXcaleRDF4J infoformerly known as SesameSequoiadb
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

How to easily deploy LAN-accessible pods to a Kubernetes cluster
17 September 2020, TechRepublic

Database Heterogeneity Helps Address IoT Analytics Challenges
22 September 2020, IoT World Today

Where InfluxDB time series database is going
21 January 2020, TechTarget

InfluxData Brings InfluxDB Cloud 2.0 Serverless Platform to Europe to Support Enterprise Transformation with Time Series Technology
14 November 2019, Business Wire

Time series databases at the core of the enterprise: real-time insights
1 July 2020, TechHQ

provided by Google News

Major Advancements in Big Data in the Automotive Industry: 2018 – 2030
17 September 2020, The Daily Chronicle

Hunting For Disruption At Collision Conference
29 April 2016, Forbes

Tailored IoT & BigData Sandboxes and Testbeds for Smart, Autonomous and Personalized Services in the European Finance and Insurance Services Ecosystem | INFINITECH Project | H2020 | CORDIS | European Commission
13 December 2019, ICT Results

Big Data Market: 2018-2030: Big Data Vendors will Pocket Over $65 Billion from Hardware, Software and Professional Services Revenues with revenues to Hit $96 Billion by 2021
22 June 2018, PR Newswire

Big Data Investments in the Healthcare & Pharmaceutical Industry Will Account for Nearly $4.7 Billion in 2018 Alone
30 July 2018, PR Newswire

provided by Google News

Big data database Apache Rya becomes a Top Level Project
10 October 2019, JAXenter

GraphDB Goes Open Source
27 January 2020, iProgrammer

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

Ontotext's GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
30 April 2020, PR Newswire UK

Ontotext's GraphDB 8.9 Boosts Semantic Similarity Search
10 April 2019, PR Newswire UK

provided by Google News

Global Operational Database Management Systems (OPDBMS) Software Market Leading Manufacturers includes:Oracle, Microsoft, SAP SE, IBM
24 September 2020, The Daily Chronicle

SequoiaDB 3.0 Released, New-Generation Multi-Model NewSQL Database
25 June 2018, PR Newswire

New Fund, New IPOs: The Era Of Successful China VC Investing Hasn't Ended Here
14 May 2020, Forbes

Top 25 IoT Startups To Watch In 2019
3 February 2019, Forbes

Cloud Native Computing Foundation Surpasses 375 Members
12 March 2019, PRNewswire

provided by Google News

Job opportunities

Staff Software Engineer, Infrastructure
Gatsby, Remote

Computer Science Co-op January 2021- August 2021
Graco, Minneapolis, MN

Mobile Web Solutions Architect
Power Home Remodeling, Glassboro, NJ

Mobile Web Solutions Architect
Power Home Remodeling, Wilmington, DE

Mobile Web Solutions Architect
Power Home Remodeling, Reading, PA

Semantic Data Discovery Developer - Scientific Computing
Mount Sinai, New York, NY

jobs by Indeed




Share this page

Featured Products

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database Machine Learning. Try Vertica for free with no time limit.

Datastax Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here