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DBMS > Amazon DocumentDB vs. Apache Drill vs. BigchainDB vs. TinkerGraph

System Properties Comparison Amazon DocumentDB vs. Apache Drill vs. BigchainDB vs. TinkerGraph

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Drill  Xexclude from comparisonBigchainDB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument storeDocument store
Relational DBMS
Document storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websiteaws.amazon.com/­documentdbdrill.apache.orgwww.bigchaindb.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationaws.amazon.com/­documentdb/­resourcesdrill.apache.org/­docsbigchaindb.readthedocs.io/­en/­latest
DeveloperApache Software Foundation
Initial release2019201220162009
Current release1.20.3, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoAGPL v3Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJava
Server operating systemshostedLinux
OS X
Windows
Linux
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesnono
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
RESTful HTTP API
CLI Client
RESTful HTTP API
TinkerPop 3
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++Go
Haskell
Java
JavaScript
Python
Ruby
Groovy
Java
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynonenone
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyes,with MongoDB ord RethinkDBoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes
User concepts infoAccess controlAccess rights for users and rolesDepending on the underlying data sourceyesno

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More resources
Amazon DocumentDBApache DrillBigchainDBTinkerGraph
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