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DBMS > Hawkular Metrics vs. Qdrant vs. SwayDB vs. TimescaleDB vs. Tkrzw

System Properties Comparison Hawkular Metrics vs. Qdrant vs. SwayDB vs. TimescaleDB vs. Tkrzw

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonQdrant  Xexclude from comparisonSwayDB  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A high-performance vector database with neural network or semantic-based matchingAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSVector DBMSKey-value storeTime Series DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.hawkular.orggithub.com/­qdrant/­qdrant
qdrant.tech
swaydb.simer.auwww.timescale.comdbmx.net/­tkrzw
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideqdrant.tech/­documentationdocs.timescale.com
DeveloperCommunity supported by Red HatQdrantSimer PlahaTimescaleMikio Hirabayashi
Initial release20142021201820172020
Current release2.13.0, November 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoGNU Affero GPL V3.0Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustScalaCC++
Server operating systemsLinux
OS X
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Windows
Linux
macOS
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleannonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesno
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.nononoyesno
Secondary indexesnoyes infoKeywords, numberic ranges, geo, full-textnoyes
SQL infoSupport of SQLnononoyes infofull PostgreSQL SQL syntaxno
APIs and other access methodsHTTP RESTgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Java
Kotlin
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersyes infovia Hawkular Alertingnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnoneyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraCollection-level replicationnoneSource-replica replication with hot standby and reads on replicas infonone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency, tunable consistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesnoyes infousing specific database classes
User concepts infoAccess controlnoKey-based authenticationnofine grained access rights according to SQL-standardno

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More resources
Hawkular MetricsQdrantSwayDBTimescaleDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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