DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Hawkular Metrics vs. OpenQM vs. Qdrant vs. Transwarp StellarDB

System Properties Comparison Hawkular Metrics vs. OpenQM vs. Qdrant vs. Transwarp StellarDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonQdrant  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.QpenQM is a high-performance, self-tuning, multi-value DBMSA high-performance vector database with neural network or semantic-based matchingA distributed graph DBMS built for enterprise-level graph applications
Primary database modelTime Series DBMSMultivalue DBMSVector DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitewww.hawkular.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmgithub.com/­qdrant/­qdrant
qdrant.tech
www.transwarp.cn/­en/­product/­stellardb
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideqdrant.tech/­documentation
DeveloperCommunity supported by Red HatRocket Software, originally Martin PhillipsQdrantTranswarp
Initial release201419932021
Current release3.4-12
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPLv2, extended commercial license availableOpen Source infoApache Version 2.0commercial
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 languageJavaRust
Server operating systemsLinux
OS X
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freeyes infowith some exceptionsschema-free
Typing infopredefined data types such as float or dateyesNumbers, 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.noyesno
Secondary indexesnoyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsHTTP RESTgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
OpenCypher
Supported programming languagesGo
Java
Python
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoyes
Triggersyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandrayesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights can be defined down to the item levelKey-based authenticationyes

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Hawkular MetricsOpenQM infoalso called QMQdrantTranswarp StellarDB
Recent citations in the news

Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS
5 June 2019, DevClass

provided by Google News

Open source vector database startup Qdrant raises $28M
23 January 2024, TechCrunch

Qdrant Raises $28M to Advance Massive-Scale AI Applications
23 January 2024, businesswire.com

Qdrant Hybrid Cloud is Now Available for OCI Customers: Managed Vector Search Engine for Data-Sensitive AI ...
16 April 2024, blogs.oracle.com

Qdrant offers managed vector database for hybrid clouds
16 April 2024, InfoWorld

Why Vector Data Services For AI Are A Moveable Feast
17 April 2024, Forbes

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here