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DBMS > InfluxDB vs. LeanXcale vs. LevelDB vs. Vitess

System Properties Comparison InfluxDB vs. LeanXcale vs. LevelDB vs. Vitess

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonLevelDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.leanxcale.comgithub.com/­google/­leveldbvitess.io
Technical documentationdocs.influxdata.com/­influxdbgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdvitess.io/­docs
DeveloperLeanXcaleGoogleThe Linux Foundation, PlanetScale
Initial release2013201520112013
Current release2.7.6, April 20241.23, February 202115.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoBSDOpen 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 languageGoC++Go
Server operating systemsLinux
OS X infothrough Homebrew
Illumos
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateNumeric data and Stringsnoyes
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 indexesnonoyes
SQL infoSupport of SQLSQL-like query languageyes infothrough Apache Derbynoyes infowith proprietary extensions
APIs and other access methodsHTTP API
JSON over UDP
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
Java
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
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 proceduresnonoyes infoproprietary syntax
Triggersnonoyes
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 onlynoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesyes
User concepts infoAccess controlsimple rights management via user accountsnoUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
InfluxDBLeanXcaleLevelDBVitess
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
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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
InfluxDBLeanXcaleLevelDBVitess
DB-Engines blog posts

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Recent citations in the 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

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PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
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