DBMS > Microsoft Azure Synapse Analytics vs. NSDb vs. Tkrzw vs. Transwarp KunDB

System Properties Comparison Microsoft Azure Synapse Analytics vs. NSDb vs. Tkrzw vs. Transwarp KunDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	NSDb  Xexclude from comparison	Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison	Transwarp KunDB  Xexclude from comparison
Description	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes	A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet	OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database model	Relational DBMS	Time Series DBMS	Key-value store	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 0.08 Rank #369   Overall #40   Time Series DBMS	Score 0.07 Rank #372   Overall #57   Key-value stores	Score 0.14 Rank #341   Overall #149   Relational DBMS
Website	azure.microsoft.com/­services/­synapse-analytics	nsdb.io	dbmx.net/­tkrzw	www.transwarp.cn/­en/­product/­kundb
Technical documentation	docs.microsoft.com/­azure/­synapse-analytics	nsdb.io/­Architecture
Developer	Microsoft		Mikio Hirabayashi	Transwarp
Initial release	2016	2017	2020
Current release			0.9.3, August 2020
License Commercial or Open Source	commercial	Open Source Apache Version 2.0	Open Source Apache Version 2.0	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C++	Java, Scala	C++
Server operating systems	hosted	Linux macOS	Linux macOS
Data scheme	yes		schema-free	yes
Typing predefined data types such as float or date	yes	yes: int, bigint, decimal, string	no	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no	no
Secondary indexes	yes	all fields are automatically indexed		yes
SQL Support of SQL	yes	SQL-like query language	no	yes
APIs and other access methods	ADO.NET JDBC ODBC	gRPC HTTP REST WebSocket
Supported programming languages	C# Java PHP	Java Scala	C++ Java Python Ruby
Server-side scripts Stored procedures	Transact SQL	no	no	yes
Triggers	no		no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding, horizontal partitioning	Sharding	none	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes		none
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no		ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	Using Apache Lucene	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.			yes using specific database classes
User concepts Access control	yes		no	yes
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	NSDb	Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet	Transwarp KunDB
Recent citations in the news	General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA | Azure updates 8 April 2024, azure.microsoft.com Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, azure.microsoft.com Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services 18 October 2023, AWS Blog Azure Synapse vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek Azure Synapse Link for Cosmos DB: New Analytics Capabilities 10 November 2023, InfoQ.com provided by Google News

Share this page