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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. OceanBase

System Properties Comparison Amazon DocumentDB vs. Apache Phoenix vs. OceanBase

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonOceanBase  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed, high available RDBMS compatible with Oracle and MySQL
Primary database modelDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score1.66
Rank#147  Overall
#68  Relational DBMS
Websiteaws.amazon.com/­documentdbphoenix.apache.orgen.oceanbase.com
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgen.oceanbase.com/­docs/­oceanbase-database
DeveloperApache Software FoundationOceanBase infopreviously Alibaba and Ant Group
Initial release201920142010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20194.3.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoCommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedLinux
Unix
Windows
Linux
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Server-side scripts infoStored proceduresnouser defined functionsPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)
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
Multi-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACID
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.yes
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Amazon DocumentDBApache PhoenixOceanBase
Specific characteristicsOceanBase Database is the world’s only native distributed database that has set new...
» more
Competitive advantagesHigh Availability : The five IDCs across three sites disaster recovery solution sets...
» more
Key customersOceanBase Database has helped over 400 customers across industries upgrade their...
» more
Market metricsTPC-C No.1 Performance , achieved a result of 707.35 million tpmC in the TPC-C benchmark...
» more
Licensing and pricing modelsMulan PubL v2 license for open source community edition. Commercial license for enterprise...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon DocumentDBApache PhoenixOceanBase
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