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DBMS > Apache Kylin vs. GeoMesa vs. Microsoft Azure Table Storage vs. SurrealDB

System Properties Comparison Apache Kylin vs. GeoMesa vs. Microsoft Azure Table Storage vs. SurrealDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A Wide Column Store for rapid development using massive semi-structured datasetsA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSSpatial DBMSWide column storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#171  Overall
#77  Relational DBMS
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitekylin.apache.orgwww.geomesa.orgazure.microsoft.com/­en-us/­services/­storage/­tablessurrealdb.com
Technical documentationkylin.apache.org/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmlsurrealdb.com/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncCCRi and othersMicrosoftSurrealDB Ltd
Initial release2015201420122022
Current release3.1.0, July 20205.0.1, July 2024v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaRust
Server operating systemsLinuxhostedLinux
macOS
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIGraphQL
RESTful HTTP API
WebSocket
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layerno
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights based on private key authentication or shared access signaturesyes, based on authentication and database rules

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More resources
Apache KylinGeoMesaMicrosoft Azure Table StorageSurrealDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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