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DBMS > InfluxDB vs. Lovefield vs. MarkLogic

System Properties Comparison InfluxDB vs. Lovefield vs. MarkLogic

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonLovefield  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsEmbeddable relational database for web apps written in pure JavaScriptOperational and transactional Enterprise NoSQL database
Primary database modelTime Series DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score28.64
Rank#29  Overall
#1  Time Series DBMS
Score0.51
Rank#235  Overall
#112  Relational DBMS
Score9.38
Rank#47  Overall
#8  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Websitewww.influxdata.com/­products/­influxdb-overviewgoogle.github.io/­lovefieldwww.marklogic.com
Technical documentationdocs.influxdata.com/­influxdbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.marklogic.com
DeveloperGoogleMarkLogic Corp.
Initial release201320142001
Current release2.0.2, November 20202.1.12, February 20179.0, 2017
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaScriptC++
Server operating systemsLinux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
Data schemeschema-freeyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateNumeric 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.nonoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language infovia JavaScript builder patternyes infoSQL92
APIs and other access methodsHTTP API
JSON over UDP
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infovia XQuery or JavaScript
TriggersnoUsing read-only observersyes
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 onlynoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
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 infousing MemoryDByes, with Range Indexes
User concepts infoAccess controlsimple rights management via user accountsnoRole-based access control at the document and subdocument levels
More information provided by the system vendor
InfluxDBLovefieldMarkLogic
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
The MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
The main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
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Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
MarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
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Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
MarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
MarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
MarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more
News

Release Announcement: InfluxDB Enterprise 1.9
17 June 2021

Release Announcement: Telegraf 1.19.0
17 June 2021

Release Announcement: InfluxDB OSS 2.0.7
7 June 2021

Announcement: InfluxDays North America 2021 Call for Papers is Open!
7 June 2021

Event Highlights: InfluxDays EMEA 2021 Virtual Experience
3 June 2021

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.

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More resources
InfluxDBLovefieldMarkLogic
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

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11 June 2021, InformationWeek

InfluxData Advances Possibilities of Time Series Data With General Availability of InfluxDB 2.0
10 November 2020, Business Wire

InfluxData releases InfluxDB Notebooks to enhance collaboration for teams working with time series data
14 April 2021, Business Wire

provided by Google News

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Google publishes its documentation for open-sourcing technology
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