DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > FeatureBase vs. Milvus vs. OrigoDB vs. SpatiaLite vs. XTDB

System Properties Comparison FeatureBase vs. Milvus vs. OrigoDB vs. SpatiaLite vs. XTDB

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonMilvus  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpatiaLite  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A DBMS designed for efficient storage of vector data and vector similarity searchesA fully ACID in-memory object graph databaseSpatial extension of SQLiteA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSVector DBMSDocument store
Object oriented DBMS
Spatial DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.featurebase.commilvus.ioorigodb.comwww.gaia-gis.it/­fossil/­libspatialite/­indexgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.featurebase.commilvus.io/­docs/­overview.mdorigodb.com/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlwww.xtdb.com/­docs
DeveloperMolecula and Pilosa Open Source ContributorsRobert Friberg et alAlessandro FurieriJuxt Ltd.
Initial release201720192009 infounder the name LiveDB20082019
Current release2022, May 20222.4.4, May 20245.0.0, August 20201.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open SourceOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageGoC++, GoC#C++Clojure
Server operating systemsLinux
macOS
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
server-lessAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and StringUser defined using .NET types and collectionsyesyes, extensible-data-notation format
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 infocan be achieved using .NETnono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLSQL queriesnonoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP API.NET Client API
HTTP API
LINQ
HTTP REST
JDBC
Supported programming languagesJava
Python
C++
Go
Java
JavaScript (Node.js)
Python
.NetClojure
Java
Server-side scripts infoStored proceduresnoyesnono
Triggersnonoyes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesnodepending on modelyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes infoWrite ahead logyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlRole based access control and fine grained access rightsRole based authorizationno
More information provided by the system vendor
FeatureBaseMilvusOrigoDBSpatiaLiteXTDB infoformerly named Crux
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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
FeatureBaseMilvusOrigoDBSpatiaLiteXTDB infoformerly named Crux
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

show all

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Recent citations in the news

The 10 Hottest Big Data Startups Of 2021
18 November 2021, CRN

Get Your Infrastructure Ready for Real-Time Analytics
9 March 2022, Built In

Pilosa: A Scalable High Performance Bitmap Database Index
17 June 2019, hackernoon.com

32 Data and Analytics Startups That Will Go Big, According to VCs
28 September 2021, Business Insider

The 10 Coolest Big Data Tools Of 2021
7 December 2021, CRN

provided by Google News

How NVIDIA GPU Acceleration Supercharged Milvus Vector Database
26 March 2024, The New Stack

AI-Powered Search Engine With Milvus Vector Database on Vultr
31 January 2024, SitePoint

Milvus 2.4 Unveils Game-Changing Features for Enhanced Vector Search
20 March 2024, GlobeNewswire

Zilliz Unveils Game-Changing Features for Vector Search
22 March 2024, Datanami

IBM watsonx.data’s integrated vector database: unify, prepare, and deliver your data for AI
9 April 2024, IBM

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here