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DBMS > Apache Pinot vs. FoundationDB vs. HugeGraph vs. Postgres-XL

System Properties Comparison Apache Pinot vs. FoundationDB vs. HugeGraph vs. Postgres-XL

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonFoundationDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonPostgres-XL  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyOrdered key-value store. Core features are complimented by layers.A fast-speed and highly-scalable Graph DBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitepinot.apache.orggithub.com/­apple/­foundationdbgithub.com/­hugegraph
hugegraph.apache.org
www.postgres-xl.org
Technical documentationdocs.pinot.apache.orgapple.github.io/­foundationdbhugegraph.apache.org/­docswww.postgres-xl.org/­documentation
DeveloperApache Software Foundation and contributorsFoundationDBBaidu
Initial release2015201320182014 infosince 2012, originally named StormDB
Current release1.0.0, September 20236.2.28, November 20200.910 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Windows
Linux
macOS
Unix
Linux
macOS
Data schemeyesschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyes
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 indexesnoyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-like query languagesupported in specific SQL layer onlynoyes infodistributed, parallel query execution
APIs and other access methodsJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Groovy
Java
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresin SQL-layer onlyasynchronous Gremlin script jobsuser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoUsers, roles and permissionsfine grained access rights according to SQL-standard

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More resources
Apache PinotFoundationDBHugeGraphPostgres-XL
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