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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. OceanBase vs. OpenMLDB

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

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonOceanBase  Xexclude from comparisonOpenMLDB  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 MySQLAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelDocument storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Wide column store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websiteaws.amazon.com/­documentdbphoenix.apache.orgen.oceanbase.comopenmldb.ai
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgen.oceanbase.com/­docs/­oceanbase-databaseopenmldb.ai/­docs/­zh/­main
DeveloperApache Software FoundationOceanBase infopreviously Alibaba and Ant Group4 Paradigm Inc.
Initial release2019201420102020
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20194.3.0, April 20242024-2 February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoCommercial license availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, Java, Scala
Server operating systemshostedLinux
Unix
Windows
LinuxLinux
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyesFixed schema
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
JDBC
SQLAlchemy
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
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnouser defined functionsPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)horizontal partitioning
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 PaxosSource-replica replication
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
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-standardfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBApache PhoenixOceanBaseOpenMLDB
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