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DBMS > FoundationDB vs. Hawkular Metrics vs. OrigoDB vs. Postgres-XL vs. Qdrant

System Properties Comparison FoundationDB vs. Hawkular Metrics vs. OrigoDB vs. Postgres-XL vs. Qdrant

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOrigoDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQdrant  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.A fully ACID in-memory object graph databaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA high-performance vector database with neural network or semantic-based matching
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSDocument store
Object oriented DBMS
Relational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitegithub.com/­apple/­foundationdbwww.hawkular.orgorigodb.comwww.postgres-xl.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationapple.github.io/­foundationdbwww.hawkular.org/­hawkular-metrics/­docs/­user-guideorigodb.com/­docswww.postgres-xl.org/­documentationqdrant.tech/­documentation
DeveloperFoundationDBCommunity supported by Red HatRobert Friberg et alQdrant
Initial release201320142009 infounder the name LiveDB2014 infosince 2012, originally named StormDB2021
Current release6.2.28, November 202010 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open SourceOpen Source infoMozilla public licenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC#CRust
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
Windows
Linux
macOS
Docker
Linux
macOS
Windows
Data schemeschema-free infosome layers support schemasschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyesUser defined using .NET types and collectionsyesNumbers, Strings, Geo, Boolean
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 infocan be achieved using .NETyes infoXML type, but no XML query functionalityno
Secondary indexesnonoyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLsupported in specific SQL layer onlynonoyes infodistributed, parallel query executionno
APIs and other access methodsHTTP REST.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Go
Java
Python
Ruby
.Net.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresin SQL-layer onlynoyesuser defined functions
Triggersnoyes infovia Hawkular Alertingyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraSource-replica replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityin SQL-layer onlynodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlnonoRole based authorizationfine grained access rights according to SQL-standardKey-based authentication

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More resources
FoundationDBHawkular MetricsOrigoDBPostgres-XLQdrant
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