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DBMS > Badger vs. GeoMesa vs. Microsoft Azure Synapse Analytics vs. WakandaDB

System Properties Comparison Badger vs. GeoMesa vs. Microsoft Azure Synapse Analytics vs. WakandaDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Elastic, 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 modelKey-value storeSpatial DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#364  Overall
#55  Key-value stores
Score1.06
Rank#201  Overall
#4  Spatial DBMS
Score23.03
Rank#34  Overall
#20  Relational DBMS
Score0.02
Rank#374  Overall
#21  Object oriented DBMS
Websitegithub.com/­dgraph-io/­badgerwww.geomesa.orgazure.microsoft.com/­services/­synapse-analyticswakanda.github.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsdoc.wakanda.org/­home2.en.html#/­Datastore/­Introduction.200-588937.en.html
DeveloperDGraph LabsCCRi and othersMicrosoftWakanda SAS
Initial release2017201420162012
Current release3.4.1, June 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache License 2.0commercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoScalaC++C++, JavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nononono
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGoC#
Java
PHP
JavaScript
Server-side scripts infoStored proceduresnonoTransact SQLyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layeryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonedepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono 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 datanonoACIDACID
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 controlnoyes infodepending on the DBMS used for storageyesyes

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More resources
BadgerGeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWakandaDB
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