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DBMS > Bangdb vs. DuckDB vs. Milvus vs. Realm

System Properties Comparison Bangdb vs. DuckDB vs. Milvus vs. Realm

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDuckDB  Xexclude from comparisonMilvus  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphAn embeddable, in-process, column-oriented SQL OLAP RDBMSA DBMS designed for efficient storage of vector data and vector similarity searchesA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSVector DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitebangdb.comduckdb.orgmilvus.iorealm.io
Technical documentationdocs.bangdb.comduckdb.org/­docsmilvus.io/­docs/­overview.mdrealm.io/­docs
DeveloperSachin Sinha, BangDBRealm, acquired by MongoDB in May 2019
Initial release2012201820192014
Current releaseBangDB 2.0, October 20211.0.0, June 20242.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoMIT LicenseOpen Source infoApache Version 2.0Open Source
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, C++C++C++, Go
Server operating systemsLinuxserver-lessLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesVector, 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.nononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyes
SQL infoSupport of SQLSQL like support with command line toolyesnono
APIs and other access methodsProprietary protocol
RESTful HTTP API
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnononono inforuns within the applications so server-side scripts are unnecessary
Triggersyes, Notifications (with Streaming only)nonoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyesyes infoIn-Memory realm
User concepts infoAccess controlyes (enterprise version only)noRole based access control and fine grained access rightsyes
More information provided by the system vendor
BangdbDuckDBMilvusRealm
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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BangdbDuckDBMilvusRealm
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