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DBMS > Amazon DocumentDB vs. Cubrid vs. GeoSpock vs. Hawkular Metrics vs. Manticore Search

System Properties Comparison Amazon DocumentDB vs. Cubrid vs. GeoSpock vs. Hawkular Metrics vs. Manticore Search

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCubrid  Xexclude from comparisonGeoSpock  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonManticore Search  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPSpatial and temporal data processing engine for extreme data scaleHawkular 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.
Primary database modelDocument storeRelational DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsTime Series DBMSTime 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
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Websiteaws.amazon.com/­documentdbcubrid.com (korean)
cubrid.org (english)
geospock.comwww.hawkular.orgmanticoresearch.com
Technical documentationaws.amazon.com/­documentdb/­resourcescubrid.org/­manualswww.hawkular.org/­hawkular-metrics/­docs/­user-guidemanual.manticoresearch.com
DeveloperCUBRID Corporation, CUBRID FoundationGeoSpockCommunity supported by Red HatManticore Software
Initial release2019200820142017
Current release11.0, January 20212.0, September 20196.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaJava, JavascriptJavaC++
Server operating systemshostedLinux
Windows
hostedLinux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-freeFixed schema
Typing infopredefined data types such as float or dateyesyesyesyesInt, 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.nonononoCan index from XML
Secondary indexesyesyestemporal, categoricalnoyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesANSI SQL for query only (using Presto)noSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
OLE DB
JDBCHTTP RESTBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresnonouser defined functions
Triggersnoyesnoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnonenoneAutomatic shardingSharding infobased on CassandraSharding 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 replicasSource-replica replicationselectable replication factor infobased on CassandraSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnonoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users can be defined per tablenono

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More resources
Amazon DocumentDBCubridGeoSpockHawkular MetricsManticore Search
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