DBMS > InfinityDB vs. JaguarDB vs. Microsoft Azure Synapse Analytics vs. Microsoft Azure Table Storage

System Properties Comparison InfinityDB vs. JaguarDB vs. Microsoft Azure Synapse Analytics vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
Name	InfinityDB  Xexclude from comparison	JaguarDB  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison
Description	A Java embedded Key-Value Store which extends the Java Map interface	Performant, highly scalable DBMS for AI and IoT applications	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	A Wide Column Store for rapid development using massive semi-structured datasets
Primary database model	Key-value store	Key-value store Vector DBMS	Relational DBMS	Wide column store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.06 Rank #381   Overall #59   Key-value stores #15   Vector DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 4.04 Rank #77   Overall #6   Wide column stores
Website	boilerbay.com	www.jaguardb.com	azure.microsoft.com/­services/­synapse-analytics	azure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentation	boilerbay.com/­infinitydb/­manual	www.jaguardb.com/­support.html	docs.microsoft.com/­azure/­synapse-analytics
Developer	Boiler Bay Inc.	DataJaguar, Inc.	Microsoft	Microsoft
Initial release	2002	2015	2016	2012
Current release	4.0	3.3 July 2023
License Commercial or Open Source	commercial	Open Source GPL V3.0	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C++ the server part. Clients available in other languages	C++
Server operating systems	All OS with a Java VM	Linux	hosted	hosted
Data scheme	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	yes	yes	schema-free
Typing predefined data types such as float or date	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	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	no	no
Secondary indexes	no manual creation possible, using inversions based on multi-value capability	yes	yes	no
SQL Support of SQL	no	A subset of ANSI SQL is implemented but no views, foreign keys, triggers	yes	no
APIs and other access methods	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	JDBC ODBC	ADO.NET JDBC ODBC	RESTful HTTP API
Supported programming languages	Java	C C++ Go Java JavaScript (Node.js) PHP Python Ruby Scala	C# Java PHP	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby
Server-side scripts Stored procedures	no	no	Transact SQL	no
Triggers	no	no	no	no
Partitioning methods Methods for storing different data on different nodes	none	Sharding	Sharding, horizontal partitioning	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	none	Multi-source replication	yes	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
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 READ-COMMITTED or SERIALIZED	Eventual Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no manual creation possible, using inversions based on multi-value capability	no	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID Optimistic locking for transactions; no isolation for bulk loads	no	ACID	optimistic locking
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	no		no
User concepts Access control	no	rights management via user accounts	yes	Access rights based on private key authentication or shared access signatures
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More resources
	InfinityDB	JaguarDB	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	Microsoft Azure Table Storage
Recent citations in the news			General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA | Azure updates 8 April 2024, Microsoft Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, Microsoft Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform 24 September 2023, DataScientest 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 provided by Google News	Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News

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