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DBMS > BigObject vs. EXASOL vs. Lovefield vs. Milvus

System Properties Comparison BigObject vs. EXASOL vs. Lovefield vs. Milvus

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonEXASOL  Xexclude from comparisonLovefield  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Embeddable relational database for web apps written in pure JavaScriptA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Websitebigobject.iowww.exasol.comgoogle.github.io/­lovefieldmilvus.io
Technical documentationdocs.bigobject.iowww.exasol.com/­resourcesgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmilvus.io/­docs/­overview.md
DeveloperBigObject, Inc.ExasolGoogle
Initial release2015200020142019
Current release2.1.12, February 20172.3.4, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache 2.0Open 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 languageJavaScriptC++, Go
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesVector, 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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
JavaScriptC++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuauser defined functionsnono
TriggersnoyesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing MemoryDByes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardnoRole based access control and fine grained access rights
More information provided by the system vendor
BigObjectEXASOLLovefieldMilvus
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...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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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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More resources
BigObjectEXASOLLovefieldMilvus
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