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DBMS > FoundationDB vs. HBase vs. HugeGraph vs. Transwarp StellarDB

System Properties Comparison FoundationDB vs. HBase vs. HugeGraph vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonHBase  Xexclude from comparisonHugeGraph  Xexclude from comparisonTranswarp StellarDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Wide-column store based on Apache Hadoop and on concepts of BigTableA fast-speed and highly-scalable Graph DBMSA distributed graph DBMS built for enterprise-level graph applications
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Wide column storeGraph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitegithub.com/­apple/­foundationdbhbase.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.transwarp.cn/­en/­product/­stellardb
Technical documentationapple.github.io/­foundationdbhbase.apache.org/­book.htmlhugegraph.apache.org/­docs
DeveloperFoundationDBApache Software Foundation infoApache top-level project, originally developed by PowersetBaiduTranswarp
Initial release201320082018
Current release6.2.28, November 20202.3.4, January 20210.9
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
macOS
Unix
Data schemeschema-free infosome layers support schemasschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateno infosome layers support typingoptions to bring your own types, AVROyes
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.nono
Secondary indexesnonoyes infoalso supports composite index and range index
SQL infoSupport of SQLsupported in specific SQL layer onlynonoSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
OpenCypher
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C#
C++
Groovy
Java
PHP
Python
Scala
Groovy
Java
Python
Server-side scripts infoStored proceduresin SQL-layer onlyyes infoCoprocessors in Javaasynchronous Gremlin script jobs
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers, roles and permissionsyes

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More resources
FoundationDBHBaseHugeGraphTranswarp StellarDB
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