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DBMS > EsgynDB vs. MarkLogic vs. Milvus vs. XTDB

System Properties Comparison EsgynDB vs. MarkLogic vs. Milvus vs. XTDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonMilvus  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionOperational and transactional Enterprise NoSQL databaseA DBMS designed for efficient storage of vector data and vector similarity searchesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Vector DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.esgyn.cnwww.progress.com/­marklogicmilvus.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.progress.com/­marklogic/­documentationmilvus.io/­docs/­overview.mdwww.xtdb.com/­docs
DeveloperEsgynMarkLogic Corp.Juxt Ltd.
Initial release2015200120192019
Current release11.0, December 20222.4.4, May 20241.19, September 2021
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache Version 2.0Open Source infoMIT License
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 languageC++, JavaC++C++, GoClojure
Server operating systemsLinuxLinux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyes, 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.noyesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyes infoSQL92nolimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP APIHTTP REST
JDBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Clojure
Java
Server-side scripts infoStored proceduresJava Stored Proceduresyes infovia XQuery or JavaScriptnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, 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.noyes, with Range Indexesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsRole based access control and fine grained access rights
More information provided by the system vendor
EsgynDBMarkLogicMilvusXTDB 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

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More resources
EsgynDBMarkLogicMilvusXTDB infoformerly named Crux
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