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DBMS > Amazon DocumentDB vs. Apache Pinot vs. BigObject

System Properties Comparison Amazon DocumentDB vs. Apache Pinot vs. BigObject

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Pinot  Xexclude from comparisonBigObject  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAnalytic DBMS for real-time computations and queries
Primary database modelDocument storeRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposed
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.13
Rank#333  Overall
#147  Relational DBMS
Websiteaws.amazon.com/­documentdbpinot.apache.orgbigobject.io
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.pinot.apache.orgdocs.bigobject.io
DeveloperApache Software Foundation and contributorsBigObject, Inc.
Initial release201920152015
Current release1.0.0, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree community edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedAll OS with a Java JDK11 or higherLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Data schemeschema-freeyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCfluentd
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
Server-side scripts infoStored proceduresnoLua
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoautomatically between fact table and dimension tables
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)
Durability infoSupport for making data persistentyesyes
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 rolesno

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More resources
Amazon DocumentDBApache PinotBigObject
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