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DBMS > FoundationDB vs. Hawkular Metrics vs. LMDB vs. Postgres-XL vs. Speedb

System Properties Comparison FoundationDB vs. Hawkular Metrics vs. LMDB vs. Postgres-XL vs. Speedb

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLMDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSpeedb  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 high performant, light-weight, embedded key-value database libraryBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSKey-value storeRelational DBMSKey-value store
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
Score1.99
Rank#125  Overall
#21  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.21
Rank#315  Overall
#45  Key-value stores
Websitegithub.com/­apple/­foundationdbwww.hawkular.orgwww.symas.com/­symas-embedded-database-lmdbwww.postgres-xl.orgwww.speedb.io
Technical documentationapple.github.io/­foundationdbwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.lmdb.tech/­docwww.postgres-xl.org/­documentation
DeveloperFoundationDBCommunity supported by Red HatSymasSpeedb
Initial release2013201420112014 infosince 2012, originally named StormDB2020
Current release6.2.28, November 20200.9.32, January 202410 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; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCCC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
Unix
Windows
Linux
macOS
Linux
Windows
Data schemeschema-free infosome layers support schemasschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesno
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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesnononoyesno
SQL infoSupport of SQLsupported in specific SQL layer onlynonoyes infodistributed, parallel query executionno
APIs and other access methodsHTTP RESTADO.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
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlynonouser defined functionsno
Triggersnoyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandranonehorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandranoneyes
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoMVCCyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlnononofine grained access rights according to SQL-standardno
More information provided by the system vendor
FoundationDBHawkular MetricsLMDBPostgres-XLSpeedb
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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More resources
FoundationDBHawkular MetricsLMDBPostgres-XLSpeedb
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