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DBMS > Amazon DocumentDB vs. Rockset vs. TigerGraph

System Properties Comparison Amazon DocumentDB vs. Rockset vs. TigerGraph

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonRockset  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scalable, reliable search and analytics service in the cloud, built on RocksDBA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument storeDocument storeGraph DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.79
Rank#211  Overall
#35  Document stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteaws.amazon.com/­documentdbrockset.comwww.tigergraph.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.rockset.comdocs.tigergraph.com
DeveloperRockset
Initial release201920192017
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedhostedLinux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesdynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexesyesall fields are automatically indexed
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsSQL-like query language (GSQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP RESTGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnonoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID
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.no
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and organizations can be defined via Rockset consoleRole-based access control

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More resources
Amazon DocumentDBRocksetTigerGraph
Recent citations in the news

Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services
29 November 2023, AWS Blog

AWS announces Amazon DocumentDB I/O-Optimized
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Reduce cost and improve performance by migrating to Amazon DocumentDB 5.0 | Amazon Web Services
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AWS announces vector search for Amazon DocumentDB
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