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DBMS > Drizzle vs. Hawkular Metrics vs. Milvus vs. PieCloudDB

System Properties Comparison Drizzle vs. Hawkular Metrics vs. Milvus vs. PieCloudDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMilvus  Xexclude from comparisonPieCloudDB  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 DBMS designed for efficient storage of vector data and vector similarity searchesA cloud-native analytic database platform with new technologoy for elastic MPP
Primary database modelRelational DBMSTime Series DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.25
Rank#304  Overall
#138  Relational DBMS
Websitewww.hawkular.orgmilvus.iowww.openpie.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidemilvus.io/­docs/­overview.md
DeveloperDrizzle project, originally started by Brian AkerCommunity supported by Red HatOpenPie
Initial release200820142019
Current release7.2.4, September 20122.3.4, January 20242.1, January 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++JavaC++, Go
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hosted
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyes
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.nono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyes infowith proprietary extensionsnonoyes
APIs and other access methodsJDBCHTTP RESTRESTful HTTP APICLI Client
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
Go
Java
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Java
PL/SQL
Python
R
Server-side scripts infoStored proceduresnononouser defined functions
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 CassandraShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandrayes
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
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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 controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoRole based access control and fine grained access rightsUser Roles and pluggable authentication with full SQL Standard
More information provided by the system vendor
DrizzleHawkular MetricsMilvusPieCloudDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
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PieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
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Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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Extreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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PieCloudDB is ideal for Data mining applications that require extreme scalability...
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Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Sail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
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Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
PieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
DrizzleHawkular MetricsMilvusPieCloudDB
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