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DBMS > Citus vs. FoundationDB vs. Hive vs. TinkerGraph vs. YDB

System Properties Comparison Citus vs. FoundationDB vs. Hive vs. TinkerGraph vs. YDB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonFoundationDB  Xexclude from comparisonHive  Xexclude from comparisonTinkerGraph  Xexclude from comparisonYDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLOrdered key-value store. Core features are complimented by layers.data warehouse software for querying and managing large distributed datasets, built on HadoopA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSGraph DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.citusdata.comgithub.com/­apple/­foundationdbhive.apache.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlingithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.citusdata.comapple.github.io/­foundationdbcwiki.apache.org/­confluence/­display/­Hive/­Homeydb.tech/­en/­docs
DeveloperFoundationDBApache Software Foundation infoinitially developed by FacebookYandex
Initial release20102013201220092019
Current release8.1, December 20186.2.28, November 20203.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache 2.0; commercial license available
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 languageCC++JavaJava
Server operating systemsLinuxLinux
OS X
Windows
All OS with a Java VMLinux
Data schemeyesschema-free infosome layers support schemasyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyes infostandard, with numerous extensionssupported in specific SQL layer onlySQL-like DML and DDL statementsnoSQL-like query language (YQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
TinkerPop 3RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Java
PHP
Python
Groovy
Java
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.in SQL-layer onlyyes infouser defined functions and integration of map-reducenono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesselectable replication factornoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesin SQL-layer onlynoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and rolesnoAccess rights defined for Yandex Cloud users

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More resources
CitusFoundationDBHiveTinkerGraphYDB
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