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DBMS > Amazon DocumentDB vs. Apache Drill vs. Apache Phoenix vs. BigchainDB vs. gStore

System Properties Comparison Amazon DocumentDB vs. Apache Drill vs. Apache Phoenix vs. BigchainDB vs. gStore

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Drill  Xexclude from comparisonApache Phoenix  Xexclude from comparisonBigchainDB  Xexclude from comparisongStore  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA scale-out RDBMS with evolutionary schema built on Apache HBaseBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA native Graph DBMS to store and maintain very large RDF datasets.
Primary database modelDocument storeDocument store
Relational DBMS
Relational DBMSDocument storeGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Websiteaws.amazon.com/­documentdbdrill.apache.orgphoenix.apache.orgwww.bigchaindb.comen.gstore.cn
Technical documentationaws.amazon.com/­documentdb/­resourcesdrill.apache.org/­docsphoenix.apache.orgbigchaindb.readthedocs.io/­en/­latesten.gstore.cn/­#/­enDocs
DeveloperApache Software FoundationApache Software Foundation
Initial release20192012201420162016
Current release1.20.3, January 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20191.2, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoAGPL v3Open Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC++
Server operating systemshostedLinux
OS X
Windows
Linux
Unix
Windows
LinuxLinux
Data schemeschema-freeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesnoyes
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
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantyesnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
RESTful HTTP API
JDBCCLI Client
RESTful HTTP API
HTTP API
SPARQL 1.1
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C++
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency or Eventual 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 operationsnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyes,with MongoDB ord RethinkDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesno
User concepts infoAccess controlAccess rights for users and rolesDepending on the underlying data sourceAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyesUsers, roles and permissions, Role-Based Access Control (RBAC) supported

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More resources
Amazon DocumentDBApache DrillApache PhoenixBigchainDBgStore
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