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DBMS > Amazon DocumentDB vs. Apache Pinot vs. Hive vs. Manticore Search

System Properties Comparison Amazon DocumentDB vs. Apache Pinot vs. Hive vs. Manticore Search

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Pinot  Xexclude from comparisonHive  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencydata warehouse software for querying and managing large distributed datasets, built on HadoopMulti-storage database for search, including full-text search.
Primary database modelDocument storeRelational DBMSRelational DBMSSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Websiteaws.amazon.com/­documentdbpinot.apache.orghive.apache.orgmanticoresearch.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.pinot.apache.orgcwiki.apache.org/­confluence/­display/­Hive/­Homemanual.manticoresearch.com
DeveloperApache Software Foundation and contributorsApache Software Foundation infoinitially developed by FacebookManticore Software
Initial release2019201520122017
Current release1.0.0, September 20233.1.3, April 20226.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemshostedAll OS with a Java JDK11 or higherAll OS with a Java VMFreeBSD
Linux
macOS
Windows
Data schemeschema-freeyesyesFixed schema
Typing infopredefined data types such as float or dateyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.noCan index from XML
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCJDBC
ODBC
Thrift
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
C++
Java
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceuser defined functions
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factorSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and rolesno

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More resources
Amazon DocumentDBApache PinotHiveManticore Search
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