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

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

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Editorial information provided by DB-Engines
Name	Blueflood  Xexclude from comparison	Heroic  Xexclude from comparison	LeanXcale  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison
Description	Scalable TimeSeries DBMS based on Cassandra	Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch	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	Time Series DBMS	Key-value store Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.13 Rank #346   Overall #33   Time Series DBMS	Score 0.46 Rank #265   Overall #22   Time Series DBMS	Score 0.36 Rank #280   Overall #40   Key-value stores #129   Relational DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS
Website	blueflood.io	github.com/­spotify/­heroic	www.leanxcale.com	azure.microsoft.com/­services/­synapse-analytics
Technical documentation	github.com/­rax-maas/­blueflood/­wiki	spotify.github.io/­heroic		docs.microsoft.com/­azure/­synapse-analytics
Developer	Rackspace	Spotify	LeanXcale	Microsoft
Initial release	2013	2014	2015	2016
License Commercial or Open Source	Open Source Apache 2.0	Open Source Apache 2.0	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	no	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java		C++
Server operating systems	Linux OS X			hosted
Data scheme	predefined scheme	schema-free	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		no
Secondary indexes	no	yes via Elasticsearch		yes
SQL Support of SQL	no	no	yes through Apache Derby	yes
APIs and other access methods	HTTP REST	HQL (Heroic Query Language, a JSON-based language) HTTP API	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector	ADO.NET JDBC ODBC
Supported programming languages			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 based on Cassandra	Sharding		Sharding, horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor based on Cassandra	yes		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 based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	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	no	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
	Blueflood	Heroic	LeanXcale	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse
Recent citations in the news	Real-Time Performance and Health Monitoring Using Netdata 2 September 2019, CNX Software provided by Google 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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