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DBMS > Milvus vs. Oracle Berkeley DB vs. ScyllaDB

System Properties Comparison Milvus vs. Oracle Berkeley DB vs. ScyllaDB

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesWidely used in-process key-value storeCassandra and DynamoDB compatible wide column store
Primary database modelVector DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Wide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.77
Rank#92  Overall
#6  Vector DBMS
Score1.79
Rank#127  Overall
#21  Key-value stores
#3  Native XML DBMS
Score3.65
Rank#72  Overall
#5  Wide column stores
Websitemilvus.iowww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.scylladb.com
Technical documentationmilvus.io/­docs/­overview.mddocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.scylladb.com
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleScyllaDB
Initial release201919942015
Current release2.4.4, May 202418.1.40, May 2020ScyllaDB Open Source 6.2.0, October 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infocommercial license availableOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++, GoC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateVector, Numeric and Stringnoyes
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyes infocluster global secondary indices
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableSQL-like DML and DDL statements (CQL)
APIs and other access methodsRESTful HTTP APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnonoyes, Lua
Triggersnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yesyesyes infoin-memory tables
User concepts infoAccess controlRole based access control and fine grained access rightsnoAccess rights for users can be defined per object
More information provided by the system vendor
MilvusOracle Berkeley DBScyllaDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Highly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
ScyllaDB is ideal for applications that require high throughput and low latency at...
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Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
MilvusOracle Berkeley DBScyllaDB
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