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DBMS > Drizzle vs. FoundationDB vs. Machbase Neo vs. Splice Machine

System Properties Comparison Drizzle vs. FoundationDB vs. Machbase Neo vs. Splice Machine

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFoundationDB  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSplice Machine  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Ordered key-value store. Core features are complimented by layers.TimeSeries DBMS for AIoT and BigDataOpen-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
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitegithub.com/­apple/­foundationdbmachbase.comsplicemachine.com
Technical documentationapple.github.io/­foundationdbmachbase.com/­dbmssplicemachine.com/­how-it-works
DeveloperDrizzle project, originally started by Brian AkerFoundationDBMachbaseSplice Machine
Initial release2008201320132014
Current release7.2.4, September 20126.2.28, November 2020V8.0, August 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0commercial infofree test version availableOpen 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++CJava
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-free infosome layers support schemasyesyes
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.no
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionssupported in specific SQL layer onlySQL-like query languageyes
APIs and other access methodsJDBCgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Java
PHP
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoin SQL-layer onlynoyes infoJava
Triggersno infohooks for callbacks inside the server can be used.nonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesselectable replication factorMulti-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 systemLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityyesin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovolatile and lookup tableyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnosimple password-based access controlAccess rights for users, groups and roles according to SQL-standard

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More resources
DrizzleFoundationDBMachbase Neo infoFormer name was InfinifluxSplice Machine
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