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DBMS > DuckDB vs. FoundationDB vs. KairosDB vs. Splice Machine

System Properties Comparison DuckDB vs. FoundationDB vs. KairosDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonKairosDB  Xexclude from comparisonSplice Machine  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSOrdered key-value store. Core features are complimented by layers.Distributed Time Series DBMS based on Cassandra or H2Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteduckdb.orggithub.com/­apple/­foundationdbgithub.com/­kairosdb/­kairosdbsplicemachine.com
Technical documentationduckdb.org/­docsapple.github.io/­foundationdbkairosdb.github.iosplicemachine.com/­how-it-works
DeveloperFoundationDBSplice Machine
Initial release2018201320132014
Current release0.10, February 20246.2.28, November 20201.2.2, November 20183.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaJava
Server operating systemsserver-lessLinux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-free infosome layers support schemasschema-freeyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyes
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 indexesyesnonoyes
SQL infoSupport of SQLyessupported in specific SQL layer onlynoyes
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java
JavaScript infoNode.js
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoin SQL-layer onlynoyes infoJava
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnonosimple password-based access controlAccess rights for users, groups and roles according to SQL-standard

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More resources
DuckDBFoundationDBKairosDBSplice Machine
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