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

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

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonManticore Search  Xexclude from comparisonOpenMLDB  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 serviceSpatial 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.An open-source machine learning database that provides a feature platform for training and inference
Primary database modelDocument storeRelational DBMSTime Series DBMSSearch engineTime Series DBMS
Secondary database modelsTime Series DBMSTime Series DBMS infousing the Manticore Columnar LibraryRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Websiteaws.amazon.com/­documentdbgeospock.comwww.hawkular.orgmanticoresearch.comopenmldb.ai
Technical documentationaws.amazon.com/­documentdb/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guidemanual.manticoresearch.comopenmldb.ai/­docs/­zh/­main
DeveloperGeoSpockCommunity supported by Red HatManticore Software4 Paradigm Inc.
Initial release2019201420172020
Current release2.0, September 20196.0, February 20232024-2 February 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPL version 2Open Source
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaC++C++, Java, Scala
Server operating systemshostedhostedLinux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Linux
Data schemeschema-freeyesschema-freeFixed schemaFixed schema
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.nononoCan index from XMLno
Secondary indexesyestemporal, categoricalnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)noSQL-like query languageyes
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
SQLAlchemy
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnononouser defined functionsno
Triggersnonoyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingSharding infobased on CassandraSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
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 ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nonoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per tablenonofine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBGeoSpockHawkular MetricsManticore SearchOpenMLDB
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