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DBMS > FoundationDB vs. HugeGraph vs. Ignite vs. Trafodion

System Properties Comparison FoundationDB vs. HugeGraph vs. Ignite vs. Trafodion

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonIgnite  Xexclude from comparisonTrafodion  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.A fast-speed and highly-scalable Graph DBMSApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Transactional SQL-on-Hadoop DBMS
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMSKey-value store
Relational DBMS
Relational 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
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websitegithub.com/­apple/­foundationdbgithub.com/­hugegraph
hugegraph.apache.org
ignite.apache.orgtrafodion.apache.org
Technical documentationapple.github.io/­foundationdbhugegraph.apache.org/­docsapacheignite.readme.io/­docstrafodion.apache.org/­documentation.html
DeveloperFoundationDBBaiduApache Software FoundationApache Software Foundation, originally developed by HP
Initial release2013201820152014
Current release6.2.28, November 20200.9Apache Ignite 2.62.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++, Java, .NetC++, Java
Server operating systemsLinux
OS X
Windows
Linux
macOS
Unix
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateno 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.noyesno
Secondary indexesnoyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlynoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Groovy
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresin SQL-layer onlyasynchronous Gremlin script jobsyes (compute grid and cache interceptors can be used instead)Java Stored Procedures
Triggersnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes (replicated cache)yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyes (compute grid and hadoop accelerator)yes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.yesyesno
User concepts infoAccess controlnoUsers, roles and permissionsSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
FoundationDBHugeGraphIgniteTrafodion
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