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DBMS > Drizzle vs. Hawkular Metrics vs. HEAVY.AI vs. Microsoft Azure AI Search vs. Qdrant

System Properties Comparison Drizzle vs. Hawkular Metrics vs. HEAVY.AI vs. Microsoft Azure AI Search vs. Qdrant

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQdrant  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareSearch-as-a-service for web and mobile app developmentA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSTime Series DBMSRelational DBMSSearch engineVector DBMS
Secondary database modelsSpatial DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitewww.hawkular.orggithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­en-us/­services/­searchgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.heavy.ailearn.microsoft.com/­en-us/­azure/­searchqdrant.tech/­documentation
DeveloperDrizzle project, originally started by Brian AkerCommunity supported by Red HatHEAVY.AI, Inc.MicrosoftQdrant
Initial release20082014201620152021
Current release7.2.4, September 20125.10, January 2022V1
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++ and CUDARust
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
LinuxhostedDocker
Linux
macOS
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesNumbers, 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.nononono
Secondary indexesyesnonoyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyes infowith proprietary extensionsnoyesnono
APIs and other access methodsJDBCHTTP RESTJDBC
ODBC
Thrift
Vega
RESTful HTTP APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC
C++
Java
PHP
Go
Java
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
C#
Java
JavaScript
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnononono
Triggersno infohooks for callbacks inside the server can be used.yes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infoRound robinSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraMulti-source replicationyes infoImplicit feature of the cloud serviceCollection-level replication
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
Immediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
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.noyesnoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnofine grained access rights according to SQL-standardyes infousing Azure authenticationKey-based authentication

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More resources
DrizzleHawkular MetricsHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure AI SearchQdrant
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