DBMS > Heroic vs. InfinityDB vs. LeanXcale vs. Microsoft Azure Synapse Analytics

System Properties Comparison Heroic vs. InfinityDB vs. LeanXcale vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
Name	Heroic  Xexclude from comparison	InfinityDB  Xexclude from comparison	LeanXcale  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison
Description	Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch	A Java embedded Key-Value Store which extends the Java Map interface	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
Primary database model	Time Series DBMS	Key-value store	Key-value store Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.46 Rank #265   Overall #22   Time Series DBMS	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.36 Rank #280   Overall #40   Key-value stores #129   Relational DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS
Website	github.com/­spotify/­heroic	boilerbay.com	www.leanxcale.com	azure.microsoft.com/­services/­synapse-analytics
Technical documentation	spotify.github.io/­heroic	boilerbay.com/­infinitydb/­manual		docs.microsoft.com/­azure/­synapse-analytics
Developer	Spotify	Boiler Bay Inc.	LeanXcale	Microsoft
Initial release	2014	2002	2015	2016
Current release		4.0
License Commercial or Open Source	Open Source Apache 2.0	commercial	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	no	yes
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Implementation language	Java	Java		C++
Server operating systems		All OS with a Java VM		hosted
Data scheme	schema-free	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	yes	yes
Typing predefined data types such as float or date	yes	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays		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 via Elasticsearch	no manual creation possible, using inversions based on multi-value capability		yes
SQL Support of SQL	no	no	yes through Apache Derby	yes
APIs and other access methods	HQL (Heroic Query Language, a JSON-based language) HTTP API	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector	ADO.NET JDBC ODBC
Supported programming languages		Java	C Java Scala	C# Java PHP
Server-side scripts Stored procedures	no	no		Transact SQL
Triggers	no	no		no
Partitioning methods Methods for storing different data on different nodes	Sharding	none		Sharding, horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	none		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 READ-COMMITTED or SERIALIZED	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no manual creation possible, using inversions based on multi-value capability	yes	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID Optimistic locking for transactions; no isolation for bulk loads	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	no	yes
User concepts Access control		no		yes
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More resources
	Heroic	InfinityDB	LeanXcale	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse
Recent citations in the news	Review: Google Bigtable scales with ease 7 September 2016, InfoWorld provided by Google 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

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