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DBMS > GeoSpock vs. LeanXcale vs. Lovefield vs. Milvus

System Properties Comparison GeoSpock vs. LeanXcale vs. Lovefield vs. Milvus

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonLeanXcale  Xexclude from comparisonLovefield  Xexclude from comparisonMilvus  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesEmbeddable relational database for web apps written in pure JavaScriptA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSVector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Websitegeospock.comwww.leanxcale.comgoogle.github.io/­lovefieldmilvus.io
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmilvus.io/­docs/­overview.md
DeveloperGeoSpockLeanXcaleGoogle
Initial release201520142019
Current release2.0, September 20192.1.12, February 20172.4.4, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageJava, JavascriptJavaScriptC++, Go
Server operating systemshostedserver-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 dateyesyesVector, 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.nonono
Secondary indexestemporal, categoricalyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)yes infothrough Apache DerbySQL-like query language infovia JavaScript builder patternno
APIs and other access methodsJDBCJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP API
Supported programming languagesC
Java
Scala
JavaScriptC++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono
TriggersnoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyes infousing MemoryDByes
User concepts infoAccess controlAccess rights for users can be defined per tablenoRole based access control and fine grained access rights
More information provided by the system vendor
GeoSpockLeanXcaleLovefieldMilvus
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
GeoSpockLeanXcaleLovefieldMilvus
DB-Engines blog posts

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Recent citations in the news

How GeoSpock is supercharging geospatial analytics
23 February 2021, ComputerWeekly.com

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2 October 2020, CoinGeek

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16 May 2018, ExchangeWire

GeoSpock’s extreme-scale data mission in $5.4m funding boost
8 October 2020, Cambridge Independent

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20 October 2020, CoinGeek

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20 March 2024, GlobeNewswire

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