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DBMS > atoti vs. Hawkular Metrics vs. OpenMLDB vs. Qdrant

System Properties Comparison atoti vs. Hawkular Metrics vs. OpenMLDB vs. Qdrant

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOpenMLDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.An open-source machine learning database that provides a feature platform for training and inferenceA high-performance vector database with neural network or semantic-based matching
Primary database modelObject oriented DBMSTime Series DBMSTime Series DBMSVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#11  Object oriented DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score1.28
Rank#167  Overall
#8  Vector DBMS
Websiteatoti.iowww.hawkular.orgopenmldb.aigithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.atoti.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guideopenmldb.ai/­docs/­zh/­mainqdrant.tech/­documentation
DeveloperActiveViamCommunity supported by Red Hat4 Paradigm Inc.Qdrant
Initial release201420202021
Current release2024-2 February 2024
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0Open SourceOpen 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 languageJavaJavaC++, Java, ScalaRust
Server operating systemsLinux
OS X
Windows
LinuxDocker
Linux
macOS
Windows
Data schemeschema-freeFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, 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.nonono
Secondary indexesnoyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyesno
APIs and other access methodsHTTP RESTJDBC
SQLAlchemy
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesGo
Java
Python
Ruby
C++
Go
Java
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresPythonnono
Triggersyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infobased on Cassandrahorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationCollection-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 datanono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardKey-based authentication

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More resources
atotiHawkular MetricsOpenMLDBQdrant
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