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DBMS > Amazon DocumentDB vs. Apache Pinot vs. Hawkular Metrics vs. Manticore Search vs. OpenEdge

System Properties Comparison Amazon DocumentDB vs. Apache Pinot vs. Hawkular Metrics vs. Manticore Search vs. OpenEdge

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Pinot  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonManticore Search  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Multi-storage database for search, including full-text search.Application development environment with integrated database management system
Primary database modelDocument storeRelational DBMSTime Series DBMSSearch engineRelational DBMS
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#132  Overall
#24  Document stores
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score3.51
Rank#86  Overall
#46  Relational DBMS
Websiteaws.amazon.com/­documentdbpinot.apache.orgwww.hawkular.orgmanticoresearch.comwww.progress.com/­openedge
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.pinot.apache.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guidemanual.manticoresearch.comdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperApache Software Foundation and contributorsCommunity supported by Red HatManticore SoftwareProgress Software Corporation
Initial release20192015201420171984
Current release1.0.0, September 20236.0, February 2023OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemshostedAll OS with a Java JDK11 or higherLinux
OS X
Windows
FreeBSD
Linux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoCan index from XMLyes
Secondary indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query languageyes infoclose to SQL 92
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCHTTP RESTBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
Go
Java
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnonouser defined functionsyes
Triggersnoyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infobased on CassandraSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infobased on CassandraSynchronous replication based on Galera librarySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
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 writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesnonoUsers and groups

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More resources
Amazon DocumentDBApache PinotHawkular MetricsManticore SearchOpenEdge
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