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DBMS > Apache Pinot vs. FoundationDB vs. HugeGraph

System Properties Comparison Apache Pinot vs. FoundationDB vs. HugeGraph

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonFoundationDB  Xexclude from comparisonHugeGraph  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 DBMS
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitepinot.apache.orggithub.com/­apple/­foundationdbgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdocs.pinot.apache.orgapple.github.io/­foundationdbhugegraph.apache.org/­docs
DeveloperApache Software Foundation and contributorsFoundationDBBaidu
Initial release201520132018
Current release1.0.0, September 20236.2.28, November 20200.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Windows
Linux
macOS
Unix
Data schemeyesschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes
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.no
Secondary indexesnoyes infoalso supports composite index and range index
SQL infoSupport of SQLSQL-like query languagesupported in specific SQL layer onlyno
APIs and other access methodsJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesGo
Java
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Groovy
Java
Python
Server-side scripts infoStored proceduresin SQL-layer onlyasynchronous Gremlin script jobs
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
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-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnoUsers, roles and permissions

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More resources
Apache PinotFoundationDBHugeGraph
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