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DBMS > FoundationDB vs. MonetDB vs. QuestDB vs. Transwarp Hippo

System Properties Comparison FoundationDB vs. MonetDB vs. QuestDB vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonMonetDB  Xexclude from comparisonQuestDB  Xexclude from comparisonTranswarp Hippo  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.A relational database management system that stores data in columnsA high performance open source SQL database for time series dataCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSTime Series DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websitegithub.com/­apple/­foundationdbwww.monetdb.orgquestdb.iowww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationapple.github.io/­foundationdbwww.monetdb.org/­Documentationquestdb.io/­docs
DeveloperFoundationDBMonetDB BVQuestDB Technology Inc
Initial release2013200420142023
Current release6.2.28, November 2020Dec2023 (11.49), December 20231.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CJava (Zero-GC), C++, RustC++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
macOS
Data schemeschema-free infosome layers support schemasyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesVector, Numeric and String
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 indexesnoyesnono
SQL infoSupport of SQLsupported in specific SQL layer onlyyes infoSQL 2003 with some extensionsSQL with time-series extensionsno
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
RESTful HTTP API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++
Java
Python
Server-side scripts infoStored proceduresin SQL-layer onlyyes, in SQL, C, Rnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tableshorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoSource-replica replication available in experimental statusSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes infothrough memory mapped filesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
FoundationDBMonetDBQuestDBTranswarp Hippo
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More resources
FoundationDBMonetDBQuestDBTranswarp Hippo
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FoundationDB team’s new venture, Antithesis, raises $47M to enhance software testing
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Test of Time Award for paper on vectorized execution
16 January 2024, Centrum Wiskunde & Informatica (CWI)

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SQL Extensions for Time-Series Data in QuestDB
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