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DBMS > FoundationDB vs. InfluxDB vs. Postgres-XL vs. Realm vs. RisingWave

System Properties Comparison FoundationDB vs. InfluxDB vs. Postgres-XL vs. Realm vs. RisingWave

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRealm  Xexclude from comparisonRisingWave  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.DBMS for storing time series, events and metricsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMSDocument 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
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitegithub.com/­apple/­foundationdbwww.influxdata.com/­products/­influxdb-overviewwww.postgres-xl.orgrealm.iowww.risingwave.com/­database
Technical documentationapple.github.io/­foundationdbdocs.influxdata.com/­influxdbwww.postgres-xl.org/­documentationrealm.io/­docsdocs.risingwave.com/­docs/­current/­intro
DeveloperFoundationDBRealm, acquired by MongoDB in May 2019RisingWave Labs
Initial release201320132014 infosince 2012, originally named StormDB20142022
Current release6.2.28, November 20202.7.6, April 202410 R1, October 20181.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoMozilla public licenseOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoCRust
Server operating systemsLinux
OS X
Windows
Linux
OS X infothrough Homebrew
Linux
macOS
Android
Backend: server-less
iOS
Windows
Docker
Linux
macOS
Data schemeschema-free infosome layers support schemasschema-freeyesyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingNumeric data and StringsyesyesStandard SQL-types and JSON
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.noyes infoXML type, but no XML query functionalitynono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-like query languageyes infodistributed, parallel query executionnoyes
APIs and other access methodsHTTP API
JSON over UDP
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresin SQL-layer onlynouser defined functionsno inforuns within the applications so server-side scripts are unnecessaryUDFs in Python or Java
Triggersnonoyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyhorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage enginenoyes infoIn-Memory realmyes
User concepts infoAccess controlnosimple rights management via user accountsfine grained access rights according to SQL-standardyesUsers and Roles
More information provided by the system vendor
FoundationDBInfluxDBPostgres-XLRealmRisingWave
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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