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DBMS > FoundationDB vs. Hawkular Metrics vs. Hive vs. Postgres-XL vs. RavenDB

System Properties Comparison FoundationDB vs. Hawkular Metrics vs. Hive vs. Postgres-XL vs. RavenDB

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHive  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRavenDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.data warehouse software for querying and managing large distributed datasets, built on HadoopBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series 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
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitegithub.com/­apple/­foundationdbwww.hawkular.orghive.apache.orgwww.postgres-xl.orgravendb.net
Technical documentationapple.github.io/­foundationdbwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecwiki.apache.org/­confluence/­display/­Hive/­Homewww.postgres-xl.org/­documentationravendb.net/­docs
DeveloperFoundationDBCommunity supported by Red HatApache Software Foundation infoinitially developed by FacebookHibernating Rhinos
Initial release2013201420122014 infosince 2012, originally named StormDB2010
Current release6.2.28, November 20203.1.3, April 202210 R1, October 20185.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 2Open Source infoMozilla public licenseOpen Source infoAGPL version 3, 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++JavaJavaCC#
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
All OS with a Java VMLinux
macOS
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-free infosome layers support schemasschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesyesno
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 infoXML type, but no XML query functionality
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlynoSQL-like DML and DDL statementsyes infodistributed, parallel query executionSQL-like query language (RQL)
APIs and other access methodsHTTP RESTJDBC
ODBC
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Go
Java
Python
Ruby
C++
Java
PHP
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlynoyes infouser defined functions and integration of map-reduceuser defined functionsyes
Triggersnoyes infovia Hawkular Alertingnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandraselectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityin SQL-layer onlynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoMVCCACID, Cluster-wide transaction available
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.nono
User concepts infoAccess controlnonoAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
FoundationDBHawkular MetricsHivePostgres-XLRavenDB
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