DBMS > JaguarDB vs. LeanXcale vs. Microsoft Azure Synapse Analytics vs. Transwarp KunDB

System Properties Comparison JaguarDB vs. LeanXcale vs. Microsoft Azure Synapse Analytics vs. Transwarp KunDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	JaguarDB  Xexclude from comparison	LeanXcale  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	Transwarp KunDB  Xexclude from comparison
Description	Performant, highly scalable DBMS for AI and IoT applications	A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database model	Key-value store Vector DBMS	Key-value store Relational DBMS	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.06 Rank #381   Overall #59   Key-value stores #13   Vector DBMS	Score 0.36 Rank #280   Overall #40   Key-value stores #129   Relational DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 0.14 Rank #341   Overall #149   Relational DBMS
Website	www.jaguardb.com	www.leanxcale.com	azure.microsoft.com/­services/­synapse-analytics	www.transwarp.cn/­en/­product/­kundb
Technical documentation	www.jaguardb.com/­support.html		docs.microsoft.com/­azure/­synapse-analytics
Developer	DataJaguar, Inc.	LeanXcale	Microsoft	Transwarp
Initial release	2015	2015	2016
Current release	3.3 July 2023
License Commercial or Open Source	Open Source GPL V3.0	commercial	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C++ the server part. Clients available in other languages		C++
Server operating systems	Linux		hosted
Data scheme	yes	yes	yes	yes
Typing predefined data types such as float or date	yes		yes	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
Secondary indexes	yes		yes	yes
SQL Support of SQL	A subset of ANSI SQL is implemented but no views, foreign keys, triggers	yes through Apache Derby	yes	yes
APIs and other access methods	JDBC ODBC	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector	ADO.NET JDBC ODBC
Supported programming languages	C C++ Go Java JavaScript (Node.js) PHP Python Ruby Scala	C Java Scala	C# Java PHP
Server-side scripts Stored procedures	no		Transact SQL	yes
Triggers	no		no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding		Sharding, horizontal partitioning	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication		yes
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency	Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes
User concepts Access control	rights management via user accounts		yes	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
	JaguarDB	LeanXcale	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	Transwarp KunDB
Recent citations in the news			Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services 18 October 2023, AWS Blog Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, Microsoft Azure Synapse vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform 24 September 2023, DataScientest Azure Synapse Link for Cosmos DB: New Analytics Capabilities 10 November 2023, InfoQ.com provided by Google News

Share this page