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DBMS > Hawkular Metrics vs. KeyDB vs. MarkLogic vs. Qdrant

System Properties Comparison Hawkular Metrics vs. KeyDB vs. MarkLogic vs. Qdrant

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonKeyDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOperational and transactional Enterprise NoSQL databaseA high-performance vector database with neural network or semantic-based matching
Primary database modelTime Series DBMSKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitewww.hawkular.orggithub.com/­Snapchat/­KeyDB
keydb.dev
www.marklogic.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.keydb.devdocs.marklogic.comqdrant.tech/­documentation
DeveloperCommunity supported by Red HatEQ Alpha Technology Ltd.MarkLogic Corp.Qdrant
Initial release2014201920012021
Current release11.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD-3commercial inforestricted free version is availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++Rust
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesNumbers, Strings, Geo, 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.nonoyesno
Secondary indexesnoyes infoby using the Redis Search moduleyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnonoyes infoSQL92no
APIs and other access methodsHTTP RESTProprietary protocol infoRESP - REdis Serialization ProtocoJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesGo
Java
Python
Ruby
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoLuayes infovia XQuery or JavaScript
Triggersyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yesCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexesyes
User concepts infoAccess controlnosimple password-based access control and ACLRole-based access control at the document and subdocument levelsKey-based authentication

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More resources
Hawkular MetricsKeyDBMarkLogicQdrant
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