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DBMS > FeatureBase vs. GeoMesa vs. HyperSQL vs. Microsoft Azure Synapse Analytics vs. WakandaDB

System Properties Comparison FeatureBase vs. GeoMesa vs. HyperSQL vs. Microsoft Azure Synapse Analytics vs. WakandaDB

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGeoMesa  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSSpatial DBMSRelational DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.featurebase.comwww.geomesa.orghsqldb.orgazure.microsoft.com/­services/­synapse-analyticswakanda.github.io
Technical documentationdocs.featurebase.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlhsqldb.org/­web/­hsqlDocsFrame.htmldocs.microsoft.com/­azure/­synapse-analyticswakanda.github.io/­doc
DeveloperMolecula and Pilosa Open Source ContributorsCCRi and othersMicrosoftWakanda SAS
Initial release20172014200120162012
Current release2022, May 20225.0.0, May 20242.7.2, June 20232.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infobased on BSD licensecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoScalaJavaC++C++, JavaScript
Server operating systemsLinux
macOS
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshostedLinux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL queriesnoyesyesno
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
HTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
Python
All languages supporting JDBC/ODBC
Java
C#
Java
PHP
JavaScript
Server-side scripts infoStored proceduresnoJava, SQLTransact SQLyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layernoneSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layernoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layeryesno
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardyesyes

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More resources
FeatureBaseGeoMesaHyperSQL infoalso known as HSQLDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWakandaDB
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