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DBMS > Amazon DocumentDB vs. Graph Engine vs. HEAVY.AI vs. Quasardb vs. StarRocks

System Properties Comparison Amazon DocumentDB vs. Graph Engine vs. HEAVY.AI vs. Quasardb vs. StarRocks

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonQuasardb  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDistributed, high-performance timeseries databaseAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelDocument storeGraph DBMS
Key-value store
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.graphengine.iogithub.com/­heavyai/­heavydb
www.heavy.ai
quasar.aiwww.starrocks.io
Technical documentationaws.amazon.com/­documentdb/­resourceswww.graphengine.io/­docs/­manualdocs.heavy.aidoc.quasar.ai/­masterdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperMicrosoftHEAVY.AI, Inc.quasardbThe Linux Foundation infosince Feb 2023
Initial release20192010201620092020
Current release5.10, January 20223.14.1, January 20242.5.3, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache Version 2; enterprise edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 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 language.NET and CC++ and CUDAC++C++, Java
Server operating systemshosted.NETLinuxBSD
Linux
OS X
Windows
Linux
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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.nonononono
Secondary indexesyesnoyes infowith tagsyes
SQL infoSupport of SQLnonoyesSQL-like query languageyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIJDBC
ODBC
Thrift
Vega
HTTP APIJDBC
MySQL protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
F#
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Server-side scripts infoStored proceduresnoyesnonouser defined functions
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infoRound robinSharding infoconsistent hashinghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient modeno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailRole based access control and fine grained access rights

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More resources
Amazon DocumentDBGraph Engine infoformer name: TrinityHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022QuasardbStarRocks
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