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DBMS > Amazon DocumentDB vs. HugeGraph vs. SiriDB

System Properties Comparison Amazon DocumentDB vs. HugeGraph vs. SiriDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA fast-speed and highly-scalable Graph DBMSOpen Source Time Series DBMS
Primary database modelDocument storeGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score0.11
Rank#346  Overall
#32  Time Series DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­hugegraph
hugegraph.apache.org
siridb.com
Technical documentationaws.amazon.com/­documentdb/­resourceshugegraph.apache.org/­docsdocs.siridb.com
DeveloperBaiduCesbit
Initial release201920182017
Current release0.9
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemshostedLinux
macOS
Unix
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infoNumeric data
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.nonono
Secondary indexesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnonono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Groovy
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infodepending on used storage backend, e.g. Cassandra and HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)via hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesUsers, roles and permissionssimple rights management via user accounts

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More resources
Amazon DocumentDBHugeGraphSiriDB
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