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DBMS > Databend vs. GeoMesa vs. Greenplum vs. Microsoft Azure AI Search

System Properties Comparison Databend vs. GeoMesa vs. Greenplum vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGeoMesa  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Search-as-a-service for web and mobile app development
Primary database modelRelational DBMSSpatial DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.geomesa.orggreenplum.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.databend.comwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.greenplum.orglearn.microsoft.com/­en-us/­azure/­search
DeveloperDatabend LabsCCRi and othersPivotal Software Inc.Microsoft
Initial release2021201420052015
Current release1.0.59, April 20235.0.0, May 20247.0.0, September 2023V1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustScala
Server operating systemshosted
Linux
macOS
Linuxhosted
Data schemeyesyesyesyes
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.nonoyes infosince Version 4.2no
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
Java
Perl
Python
R
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layerSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
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.depending on storage layernono
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardyes infousing Azure authentication

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More resources
DatabendGeoMesaGreenplumMicrosoft Azure AI Search
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