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DBMS > BaseX vs. EXASOL vs. GeoSpock vs. Manticore Search vs. Milvus

System Properties Comparison BaseX vs. EXASOL vs. GeoSpock vs. Manticore Search vs. Milvus

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonEXASOL  Xexclude from comparisonGeoSpock  Xexclude from comparisonManticore Search  Xexclude from comparisonMilvus  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Spatial and temporal data processing engine for extreme data scaleMulti-storage database for search, including full-text search.A DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelNative XML DBMSRelational DBMSRelational DBMSSearch engineVector DBMS
Secondary database modelsTime Series DBMSTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitebasex.orgwww.exasol.comgeospock.commanticoresearch.commilvus.io
Technical documentationdocs.basex.orgwww.exasol.com/­resourcesmanual.manticoresearch.commilvus.io/­docs/­overview.md
DeveloperBaseX GmbHExasolGeoSpockManticore Software
Initial release2007200020172019
Current release10.7, August 20232.0, September 20196.0, February 20232.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialcommercialOpen Source infoGPL version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
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, JavascriptC++C++, Go
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
Linux
macOS
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeyesyesFixed schema
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanVector, 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.nonoCan index from XMLno
Secondary indexesyesyestemporal, categoricalyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoyesANSI SQL for query only (using Presto)SQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
.Net
JDBC
ODBC
WebSocket
JDBCBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP API
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Java
Lua
Python
R
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functionsnouser defined functionsno
Triggersyes infovia eventsyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDnoyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per tablenoRole based access control and fine grained access rights
More information provided by the system vendor
BaseXEXASOLGeoSpockManticore SearchMilvus
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
BaseXEXASOLGeoSpockManticore SearchMilvus
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