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

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

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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 comparisonNSDb  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 ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelKey-value storeSpatial DBMSRelational DBMSTime Series 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
Score0.00
Rank#377  Overall
#36  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.geomesa.orgazure.microsoft.com/­services/­synapse-analyticsnsdb.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecture
DeveloperDGraph LabsCCRi and othersMicrosoft
Initial release2017201420162017
Current release3.4.1, June 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache License 2.0commercialOpen Source infoApache Version 2.0
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++Java, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
macOS
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes: 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.nononono
Secondary indexesnoyesyesall fields are automatically indexed
SQL infoSupport of SQLnonoyesSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
Supported programming languagesGoC#
Java
PHP
Java
Scala
Server-side scripts infoStored proceduresnonoTransact SQLno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layeryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonedepending on storage layerImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
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 layer
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageyes

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