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DBMS > Drizzle vs. FoundationDB vs. Microsoft Azure AI Search vs. Splice Machine

System Properties Comparison Drizzle vs. FoundationDB vs. Microsoft Azure AI Search vs. Splice Machine

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFoundationDB  Xexclude from comparisonMicrosoft Azure AI Search  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DB-Engines ranking.Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Search-as-a-service for web and mobile app developmentOpen-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
Search engineRelational DBMS
Secondary database modelsVector 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
Score5.52
Rank#59  Overall
#6  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitegithub.com/­apple/­foundationdbazure.microsoft.com/­en-us/­services/­searchsplicemachine.com
Technical documentationapple.github.io/­foundationdblearn.microsoft.com/­en-us/­azure/­searchsplicemachine.com/­how-it-works
DeveloperDrizzle project, originally started by Brian AkerFoundationDBMicrosoftSplice Machine
Initial release2008201320152014
Current release7.2.4, September 20126.2.28, November 2020V13.1, March 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
hostedLinux
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 onlynoyes
APIs and other access methodsJDBCRESTful HTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Java
PHP
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
Java
JavaScript
Python
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 nodesShardingShardingSharding infoImplicit feature of the cloud serviceShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes infoImplicit feature of the cloud serviceMulti-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 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 persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoyes infousing Azure authenticationAccess rights for users, groups and roles according to SQL-standard

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More resources
DrizzleFoundationDBMicrosoft Azure AI SearchSplice Machine
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