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DBMS > Amazon DocumentDB vs. Bangdb vs. Graph Engine vs. HEAVY.AI

System Properties Comparison Amazon DocumentDB vs. Bangdb vs. Graph Engine vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBangdb  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceConverged and high performance database for device data, events, time series, document and graphA 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 hardware
Primary database modelDocument storeDocument store
Graph DBMS
Time Series DBMS
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMSSpatial 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#334  Overall
#45  Document stores
#31  Graph DBMS
#31  Time Series DBMS
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score2.10
Rank#126  Overall
#61  Relational DBMS
Websiteaws.amazon.com/­documentdbbangdb.comwww.graphengine.iogithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.bangdb.comwww.graphengine.io/­docs/­manualdocs.heavy.ai
DeveloperSachin Sinha, BangDBMicrosoftHEAVY.AI, Inc.
Initial release2019201220102016
Current releaseBangDB 2.0, October 20215.10, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoMIT LicenseOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++.NET and CC++ and CUDA
Server operating systemshostedLinux.NETLinux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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.nononono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialno
SQL infoSupport of SQLnoSQL like support with command line toolnoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocol
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Thrift
Vega
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Java
Python
C#
C++
F#
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersnoyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontal partitioningSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as welloptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyes
User concepts infoAccess controlAccess rights for users and rolesyes (enterprise version only)fine grained access rights according to SQL-standard

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