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DBMS > Drizzle vs. InfinityDB vs. MaxDB vs. Milvus

System Properties Comparison Drizzle vs. InfinityDB vs. MaxDB vs. Milvus

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonInfinityDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A Java embedded Key-Value Store which extends the Java Map interfaceA robust and reliable RDBMS optimized to run all major SAP solutionsA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSKey-value storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#378  Overall
#57  Key-value stores
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websiteboilerbay.commaxdb.sap.commilvus.io
Technical documentationboilerbay.com/­infinitydb/­manualmaxdb.sap.com/­documentationmilvus.io/­docs/­overview.md
DeveloperDrizzle project, originally started by Brian AkerBoiler Bay Inc.SAP, acquired from Software AG (Adabas-D) in 1997
Initial release2008200219842019
Current release7.2.4, September 20124.07.9.10.12, February 20242.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercial infoLimited community edition freeOpen 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 languageC++JavaC++C++, Go
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesVector, 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.nonono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesno
SQL infoSupport of SQLyes infowith proprietary extensionsnoyesno
APIs and other access methodsJDBCAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
WebDAV
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
Java.Net
C#
Java
Perl
PHP
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersno infohooks for callbacks inside the server can be used.noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesno infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDno
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.nonoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnofine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
DrizzleInfinityDBMaxDB infoformerly named Adabas-DMilvus
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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DrizzleInfinityDBMaxDB infoformerly named Adabas-DMilvus
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