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DBMS > Amazon DocumentDB vs. FoundationDB vs. HugeGraph vs. HyperSQL vs. Ignite

System Properties Comparison Amazon DocumentDB vs. FoundationDB vs. HugeGraph vs. HyperSQL vs. Ignite

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonIgnite  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceOrdered key-value store. Core features are complimented by layers.A fast-speed and highly-scalable Graph DBMSMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelDocument storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMSRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­apple/­foundationdbgithub.com/­hugegraph
hugegraph.apache.org
hsqldb.orgignite.apache.org
Technical documentationaws.amazon.com/­documentdb/­resourcesapple.github.io/­foundationdbhugegraph.apache.org/­docshsqldb.org/­web/­hsqlDocsFrame.htmlapacheignite.readme.io/­docs
DeveloperFoundationDBBaiduApache Software Foundation
Initial release20192013201820012015
Current release6.2.28, November 20200.92.7.2, June 2023Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infobased on BSD licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaC++, Java, .Net
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
Unix
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-free infosome layers support schemasyesyesyes
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.nononoyes
Secondary indexesyesnoyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnosupported in specific SQL layer onlynoyesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API infoJDBC via HTTP
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Groovy
Java
Python
All languages supporting JDBC/ODBC
Java
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoin SQL-layer onlyasynchronous Gremlin script jobsJava, SQLyes (compute grid and cache interceptors can be used instead)
Triggersnononoyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)novia hugegraph-sparknoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblein SQL-layer onlyyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesnoUsers, roles and permissionsfine grained access rights according to SQL-standardSecurity Hooks for custom implementations

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More resources
Amazon DocumentDBFoundationDBHugeGraphHyperSQL infoalso known as HSQLDBIgnite
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