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DBMS > Amazon CloudSearch vs. Dragonfly vs. Hawkular Metrics vs. Kinetica vs. SiriDB

System Properties Comparison Amazon CloudSearch vs. Dragonfly vs. Hawkular Metrics vs. Kinetica vs. SiriDB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDragonfly  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKinetica  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA 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.Fully vectorized database across both GPUs and CPUsOpen Source Time Series DBMS
Primary database modelSearch engineKey-value storeTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.hawkular.orgwww.kinetica.comsiridb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.dragonflydb.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.kinetica.comdocs.siridb.com
DeveloperAmazonDragonflyDB team and community contributorsCommunity supported by Red HatKineticaCesbit
Initial release20122023201420122017
Current release1.0, March 20237.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1Open Source infoApache 2.0commercialOpen Source infoMIT License
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++C
Server operating systemshostedLinuxLinux
OS X
Windows
LinuxLinux
Data schemeyesscheme-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes infoNumeric data
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.nononono
Secondary indexesyes infoall search fields are automatically indexednonoyesyes
SQL infoSupport of SQLnononoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP APIProprietary protocol infoRESP - REdis Serialization ProtocolHTTP RESTJDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesC
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
C++
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoLuanouser defined functionsno
Triggersnopublish/subscribe channels provide some trigger functionalityyes infovia Hawkular Alertingyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationselectable replication factor infobased on CassandraSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of command blocks and scriptsnonono
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlauthentication via encrypted signaturesPassword-based authenticationnoAccess rights for users and roles on table levelsimple rights management via user accounts

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More resources
Amazon CloudSearchDragonflyHawkular MetricsKineticaSiriDB
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