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DBMS > Apache Doris vs. GeoSpock vs. Lovefield vs. Milvus vs. WakandaDB

System Properties Comparison Apache Doris vs. GeoSpock vs. Lovefield vs. Milvus vs. WakandaDB

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGeoSpock  Xexclude from comparisonLovefield  Xexclude from comparisonMilvus  Xexclude from comparisonWakandaDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolSpatial and temporal data processing engine for extreme data scaleEmbeddable relational database for web apps written in pure JavaScriptA DBMS designed for efficient storage of vector data and vector similarity searchesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSRelational DBMSVector DBMSObject oriented DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitedoris.apache.org
github.com/­apache/­doris
geospock.comgoogle.github.io/­lovefieldmilvus.iowakanda.github.io
Technical documentationgithub.com/­apache/­doris/­wikigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmilvus.io/­docs/­overview.mdwakanda.github.io/­doc
DeveloperApache Software Foundation, originally contributed from BaiduGeoSpockGoogleWakanda SAS
Initial release2017201420192012
Current release1.2.2, February 20232.0, September 20192.1.12, February 20172.4.4, May 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
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 languageJavaJava, JavascriptJavaScriptC++, GoC++, JavaScript
Server operating systemsLinuxhostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesVector, 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.nonononono
Secondary indexesyestemporal, categoricalyesno
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)SQL-like query language infovia JavaScript builder patternnono
APIs and other access methodsJDBC
MySQL client
JDBCRESTful HTTP APIRESTful HTTP API
Supported programming languagesJavaJavaScriptC++
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functionsnononoyes
TriggersnonoUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDByesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tablenoRole based access control and fine grained access rightsyes
More information provided by the system vendor
Apache DorisGeoSpockLovefieldMilvusWakandaDB
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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More resources
Apache DorisGeoSpockLovefieldMilvusWakandaDB
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