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DBMS > Amazon DocumentDB vs. Dragonfly vs. Hawkular Metrics vs. Manticore Search vs. YottaDB

System Properties Comparison Amazon DocumentDB vs. Dragonfly vs. Hawkular Metrics vs. Manticore Search vs. YottaDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDragonfly  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonManticore Search  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceHawkular 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.A fast and solid embedded Key-value store
Primary database modelDocument storeKey-value storeTime Series DBMSSearch engineKey-value store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score0.20
Rank#317  Overall
#47  Key-value stores
Websiteaws.amazon.com/­documentdbgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.hawkular.orgmanticoresearch.comyottadb.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.dragonflydb.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidemanual.manticoresearch.comyottadb.com/­resources/­documentation
DeveloperDragonflyDB team and community contributorsCommunity supported by Red HatManticore SoftwareYottaDB, LLC
Initial release20192023201420172001
Current release1.0, March 20236.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1Open Source infoApache 2.0Open Source infoGPL version 2Open Source infoAGPL 3.0
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 systemshostedLinuxLinux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Docker
Linux
Data schemeschema-freescheme-freeschema-freeFixed schemaschema-free
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanno
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 indexesyesnonoyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnononoSQL-like query languageby using the Octo plugin
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocol infoRESP - REdis Serialization ProtocolHTTP RESTBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Go
Java
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoLuanouser defined functions
Triggersnopublish/subscribe channels provide some trigger functionalityyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding 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 libraryyes
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 ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
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 operationsAtomic execution of command blocks and scriptsnoyes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
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.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesPassword-based authenticationnonoUsers and groups based on OS-security mechanisms

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More resources
Amazon DocumentDBDragonflyHawkular MetricsManticore SearchYottaDB
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