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DBMS > Microsoft Azure Synapse Analytics vs. NSDb vs. RisingWave vs. WakandaDB

System Properties Comparison Microsoft Azure Synapse Analytics vs. NSDb vs. RisingWave vs. WakandaDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonRisingWave  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionElastic, 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 KubernetesA distributed RDBMS for stream processing, wire-compatible with PostgreSQLWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSTime Series DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticsnsdb.iowww.risingwave.com/­databasewakanda.github.io
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturedocs.risingwave.com/­docs/­current/­introwakanda.github.io/­doc
DeveloperMicrosoftRisingWave LabsWakanda SAS
Initial release2016201720222012
Current release1.2, September 20232.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, ScalaRustC++, JavaScript
Server operating systemshostedLinux
macOS
Docker
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringStandard SQL-types and JSONyes
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 indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLyesSQL-like query languageyesno
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
JDBC
PostgreSQL wire protocol
RESTful HTTP API
Supported programming languagesC#
Java
PHP
Java
Scala
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresTransact SQLnoUDFs in Python or Javayes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesUsers and Rolesyes

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbRisingWaveWakandaDB
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