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DBMS > Graphite vs. Milvus vs. ObjectBox vs. SpatiaLite

System Properties Comparison Graphite vs. Milvus vs. ObjectBox vs. SpatiaLite

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Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonMilvus  Xexclude from comparisonObjectBox  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA DBMS designed for efficient storage of vector data and vector similarity searchesLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsSpatial extension of SQLite
Primary database modelTime Series DBMSVector DBMSObject oriented DBMS
Vector DBMS
Spatial DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websitegithub.com/­graphite-project/­graphite-webmilvus.iogithub.com/­objectbox
objectbox.io
www.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationgraphite.readthedocs.iomilvus.io/­docs/­overview.mddocs.objectbox.iowww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperChris DavisObjectBox LimitedAlessandro Furieri
Initial release2006201920172008
Current release2.4.4, May 20244.0 (May 2024)5.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Bindings are released under Apache 2.0 infoApache License 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
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 languagePythonC++, GoC and C++C++
Server operating systemsLinux
Unix
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
server-less
Data schemeyesyesyes
Typing infopredefined data types such as float or dateNumeric data onlyVector, Numeric and Stringyes, plus "flex" map-like typesyes
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 indexesnonoyesyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsHTTP API
Sockets
RESTful HTTP APIProprietary native API
Supported programming languagesJavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresnononono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneData sync between devices allowing occasional connected databases to work completely offlinenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyesyes
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.yesnoyes
User concepts infoAccess controlnoRole based access control and fine grained access rightsyesno
More information provided by the system vendor
GraphiteMilvusObjectBoxSpatiaLite
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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