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DBMS > Bangdb vs. Milvus

System Properties Comparison Bangdb vs. Milvus

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Multivalue DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#322  Overall
#43  Document stores
#33  Graph DBMS
#30  Time Series DBMS
Score0.38
Rank#257  Overall
#10  Multivalue DBMS
Websitebangdb.commilvus.io
Technical documentationbangdb.com/­developermilvus.io/­docs/­overview.md
DeveloperSachin Sinha, BangDB
Initial release20122019
Current releaseBangDB 2.0, October 20211.0, March 2021
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++
Server operating systemsLinuxLinux
Data schemeschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsNumeric data only
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 indexesyes infosecondary, composite, nested, reverse, geospatialno
SQL infoSupport of SQLSQL like support with command line toolno
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
C++
Go
Java
Python
Server-side scripts infoStored proceduresnono
Triggersyes, Notifications (with Streaming only)no
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes
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 modeno
User concepts infoAccess controlyes (enterprise version only)no
More information provided by the system vendor
BangdbMilvus
Specific characteristicsBangDB is a converged NoSql database platform which natively integrated streaming,...
» more
Competitive advantagesConverged Platform to break silos for higher scale and performance BangDB is a novel...
» more
Typical application scenariosIOT and time series data monitoring Devops, servers, network monitoring Real-Time...
» more
Key customersCisco, Accenture, Opera, Airpay, CtrlS, makemytrip, wine central, over 150 SaaS customers
» more
Market metricsBangDB is one of the fastest databases in the marke with over 2X performance over...
» more
Licensing and pricing modelsBangDB community and enterprise model. Details at https://bangdb.com/pricing/
» more

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More resources
BangdbMilvus
Recent citations in the news

What Is Vector Similarity Search? | Business Applications of Vector Search
11 August 2021, CIO Insight

Milvus, the AI Search Engine, Originally Developed by Zilliz Joins LF AI as New Incubation Project
10 April 2020, PRNewswire

5 AI startups leading MLops
21 June 2021, InfoWorld

Zilliz Raises $43M to Build AI-powered Unstructured Data
16 November 2020, GlobeNewswire

provided by Google News

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