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DBMS > Hyprcubd vs. Microsoft Azure Synapse Analytics vs. NSDb vs. PostgreSQL vs. WakandaDB

System Properties Comparison Hyprcubd vs. Microsoft Azure Synapse Analytics vs. NSDb vs. PostgreSQL vs. WakandaDB

Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonPostgreSQL  Xexclude from comparisonWakandaDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSElastic, 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 KubernetesWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Object oriented DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
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
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitehyprcubd.com (offline)azure.microsoft.com/­services/­synapse-analyticsnsdb.iowww.postgresql.orgwakanda.github.io
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturewww.postgresql.org/­docswakanda.github.io/­doc
DeveloperHyprcubd, Inc.MicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerWakanda SAS
Initial release201620171989 info1989: Postgres, 1996: PostgreSQL2012
Current release16.2, February 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoBSDOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageGoC++Java, ScalaCC++, JavaScript
Server operating systemshostedhostedLinux
macOS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyes: int, bigint, decimal, stringyesyes
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.nononoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like query languageyes infostandard with numerous extensionsno
APIs and other access methodsgRPC (https)ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languagesC#
Java
PHP
Java
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript
Server-side scripts infoStored proceduresnoTransact SQLnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingpartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datanoyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controltoken accessyesfine grained access rights according to SQL-standardyes

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More resources
HyprcubdMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbPostgreSQLWakandaDB
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