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DBMS > Amazon DocumentDB vs. Cachelot.io vs. Hawkular Metrics vs. Manticore Search vs. RDFox

System Properties Comparison Amazon DocumentDB vs. Cachelot.io vs. Hawkular Metrics vs. Manticore Search vs. RDFox

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCachelot.io  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonManticore Search  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceIn-memory caching systemHawkular 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.High performance knowledge graph and semantic reasoning engine
Primary database modelDocument storeKey-value storeTime Series DBMSSearch engineGraph DBMS
RDF store
Secondary database modelsTime 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#383  Overall
#60  Key-value stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websiteaws.amazon.com/­documentdbcachelot.iowww.hawkular.orgmanticoresearch.comwww.oxfordsemantic.tech
Technical documentationaws.amazon.com/­documentdb/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guidemanual.manticoresearch.comdocs.oxfordsemantic.tech
DeveloperCommunity supported by Red HatManticore SoftwareOxford Semantic Technologies
Initial release20192015201420172017
Current release6.0, February 20236.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoSimplified BSD LicenseOpen 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 languageC++JavaC++C++
Server operating systemshostedFreeBSD
Linux
OS X
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeFixed schemayes infoRDF schemas
Typing infopredefined data types such as float or dateyesnoyesInt, 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 XML
Secondary indexesyesnonoyes infofull-text index on all search fields
SQL infoSupport of SQLnononoSQL-like query languageno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Memcached protocolHTTP RESTBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP API
SPARQL 1.1
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Go
Java
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
Java
Server-side scripts infoStored proceduresnononouser defined functions
Triggersnonoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding 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 replicasnoneselectable replication factor infobased on CassandraSynchronous replication based on Galera libraryreplication via a shared file system
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 ConsistencynoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
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 writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes 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 rolesnononoRoles, resources, and access types

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More resources
Amazon DocumentDBCachelot.ioHawkular MetricsManticore SearchRDFox
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