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DBMS > FoundationDB vs. HBase vs. InfluxDB vs. Kinetica vs. OrigoDB

System Properties Comparison FoundationDB vs. HBase vs. InfluxDB vs. Kinetica vs. OrigoDB

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonHBase  Xexclude from comparisonInfluxDB  Xexclude from comparisonKinetica  Xexclude from comparisonOrigoDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Wide-column store based on Apache Hadoop and on concepts of BigTableDBMS for storing time series, events and metricsFully vectorized database across both GPUs and CPUsA fully ACID in-memory object graph database
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Wide column storeTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitegithub.com/­apple/­foundationdbhbase.apache.orgwww.influxdata.com/­products/­influxdb-overviewwww.kinetica.comorigodb.com
Technical documentationapple.github.io/­foundationdbhbase.apache.org/­book.htmldocs.influxdata.com/­influxdbdocs.kinetica.comorigodb.com/­docs
DeveloperFoundationDBApache Software Foundation infoApache top-level project, originally developed by PowersetKineticaRobert Friberg et al
Initial release20132008201320122009 infounder the name LiveDB
Current release6.2.28, November 20202.3.4, January 20212.7.6, April 20247.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoMIT-License; commercial enterprise version availablecommercialOpen Source
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++JavaGoC, C++C#
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
OS X infothrough Homebrew
LinuxLinux
Windows
Data schemeschema-free infosome layers support schemasschema-free, schema definition possibleschema-freeyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingoptions to bring your own types, AVRONumeric data and StringsyesUser defined using .NET types and collections
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.nononono infocan be achieved using .NET
Secondary indexesnononoyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlynoSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP API
JSON over UDP
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresin SQL-layer onlyyes infoCoprocessors in Javanouser defined functionsyes
Triggersnoyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoin enterprise version onlyShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
selectable replication factor infoin enterprise version onlySource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityin SQL-layer onlynonoyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)nonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACsimple rights management via user accountsAccess rights for users and roles on table levelRole based authorization
More information provided by the system vendor
FoundationDBHBaseInfluxDBKineticaOrigoDB
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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