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DBMS > FoundationDB vs. IBM Db2 warehouse vs. InfluxDB vs. Oracle Berkeley DB vs. QuestDB

System Properties Comparison FoundationDB vs. IBM Db2 warehouse vs. InfluxDB vs. Oracle Berkeley DB vs. QuestDB

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonQuestDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Cloud-based data warehousing serviceDBMS for storing time series, events and metricsWidely used in-process key-value storeA high performance open source SQL database for time series data
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
Secondary database modelsSpatial DBMS infowith GEO packageRelational 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
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitegithub.com/­apple/­foundationdbwww.ibm.com/­products/­db2/­warehousewww.influxdata.com/­products/­influxdb-overviewwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlquestdb.io
Technical documentationapple.github.io/­foundationdbdocs.influxdata.com/­influxdbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlquestdb.io/­docs
DeveloperFoundationDBIBMOracle infooriginally developed by Sleepycat, which was acquired by OracleQuestDB Technology Inc
Initial release20132014201319942014
Current release6.2.28, November 20202.7.6, April 202418.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infocommercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoC, Java, C++ (depending on the Berkeley DB edition)Java (Zero-GC), C++, Rust
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X infothrough Homebrew
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Windows
Data schemeschema-free infosome layers support schemasyesschema-freeschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateno infosome layers support typingyesNumeric 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.no infoImport/export of XML data possiblenoyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLsupported in specific SQL layer onlyyesSQL-like query languageyes infoSQL interfaced based on SQLite is availableSQL with time-series extensions
APIs and other access methods.NET Client API
JDBC
ODBC
OLE DB
HTTP API
JSON over UDP
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresin SQL-layer onlyPL/SQL, SQL PLnonono
Triggersnoyesnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoin enterprise version onlynonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor infoin enterprise version onlySource-replica replicationSource-replica replication with eventual consistency
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 onlyyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes infoDepending on used storage engineyesyes infothrough memory mapped files
User concepts infoAccess controlnofine grained access rights according to SQL-standardsimple rights management via user accountsno
More information provided by the system vendor
FoundationDBIBM Db2 warehouse infoformerly named IBM dashDBInfluxDBOracle Berkeley DBQuestDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» 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
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
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