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DBMS > FoundationDB vs. Hawkular Metrics vs. PlanetScale vs. TimescaleDB

System Properties Comparison FoundationDB vs. Hawkular Metrics vs. PlanetScale vs. TimescaleDB

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPlanetScale  Xexclude from comparisonTimescaleDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Scalable, distributed, serverless MySQL database platform built on top of VitessA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational 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
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitegithub.com/­apple/­foundationdbwww.hawkular.orgplanetscale.comwww.timescale.com
Technical documentationapple.github.io/­foundationdbwww.hawkular.org/­hawkular-metrics/­docs/­user-guideplanetscale.com/­docsdocs.timescale.com
DeveloperFoundationDBCommunity supported by Red HatPlanetScaleTimescale
Initial release2013201420202017
Current release6.2.28, November 20202.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGoC
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Docker
Linux
macOS
Linux
OS X
Windows
Data schemeschema-free infosome layers support schemasschema-freeyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyes
Secondary indexesnonoyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlynoyes infowith proprietary extensionsyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP RESTADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Go
Java
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresin SQL-layer onlynoyes infoproprietary syntaxuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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.noyesno
User concepts infoAccess controlnonoUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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More resources
FoundationDBHawkular MetricsPlanetScaleTimescaleDB
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