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DBMS > Derby vs. Drizzle vs. HBase vs. Milvus

System Properties Comparison Derby vs. Drizzle vs. HBase vs. Milvus

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Editorial information provided by DB-Engines
NameDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonDrizzle  Xexclude from comparisonHBase  Xexclude from comparisonMilvus  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.
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Wide-column store based on Apache Hadoop and on concepts of BigTableA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSRelational DBMSWide column storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.78
Rank#103  Overall
#4  Vector DBMS
Websitedb.apache.org/­derbyhbase.apache.orgmilvus.io
Technical documentationdb.apache.org/­derby/­manuals/­index.htmlhbase.apache.org/­book.htmlmilvus.io/­docs/­overview.md
DeveloperApache Software FoundationDrizzle project, originally started by Brian AkerApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release1997200820082019
Current release10.17.1.0, November 20237.2.4, September 20122.3.4, January 20212.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGNU GPLOpen Source infoApache version 2Open 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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaC++JavaC++, Go
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Linux
Unix
Windows infousing Cygwin
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROVector, Numeric and String
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.yesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLyesyes infowith proprietary extensionsnono
APIs and other access methodsJDBCJDBCJava API
RESTful HTTP API
Thrift
RESTful HTTP API
Supported programming languagesJavaC
C++
Java
PHP
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes infoCoprocessors in Javano
Triggersyesno infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)no
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole based access control and fine grained access rights
More information provided by the system vendor
Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBDrizzleHBaseMilvus
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBDrizzleHBaseMilvus
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