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DBMS > EsgynDB vs. GeoMesa vs. MarkLogic vs. NSDb

System Properties Comparison EsgynDB vs. GeoMesa vs. MarkLogic vs. NSDb

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonMarkLogic  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Operational and transactional Enterprise NoSQL databaseScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSSpatial DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitewww.esgyn.cnwww.geomesa.orgwww.progress.com/­marklogicnsdb.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.progress.com/­marklogic/­documentationnsdb.io/­Architecture
DeveloperEsgynCCRi and othersMarkLogic Corp.
Initial release2015201420012017
Current release5.0.1, July 202411.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercial inforestricted free version is availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaScalaC++Java, Scala
Server operating systemsLinuxLinux
OS X
Windows
Linux
macOS
Data schemeyesyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, 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.nonoyesno
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLyesnoyes infoSQL92SQL-like query language
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
gRPC
HTTP REST
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes infovia XQuery or JavaScriptno
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersdepending on storage layeryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layeryes, with Range Indexes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageRole-based access control at the document and subdocument levels

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More resources
EsgynDBGeoMesaMarkLogicNSDb
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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