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DBMS > Microsoft Azure Synapse Analytics vs. Sadas Engine vs. SiriDB vs. SQream DB vs. XTDB

System Properties Comparison Microsoft Azure Synapse Analytics vs. Sadas Engine vs. SiriDB vs. SQream DB vs. XTDB

Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  Xexclude from comparisonSQream DB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen Source Time Series DBMSa GPU-based, columnar RDBMS for big data analytics workloadsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websiteazure.microsoft.com/­services/­synapse-analyticswww.sadasengine.comsiridb.comsqream.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.siridb.comdocs.sqream.comwww.xtdb.com/­docs
DeveloperMicrosoftSADAS s.r.l.CesbitSQream TechnologiesJuxt Ltd.
Initial release20162006201720172019
Current release8.02022.1.6, December 20221.19, September 2021
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoMIT LicensecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++CC++, CUDA, Haskell, Java, ScalaClojure
Server operating systemshostedAIX
Linux
Windows
LinuxLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoNumeric datayes, ANSI Standard SQL Typesyes, extensible-data-notation format
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesyesnoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
HTTP API.Net
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesC#
Java
PHP
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
JavaScript (Node.js)
Python
Clojure
Java
Server-side scripts infoStored proceduresTransact SQLnonouser defined functions in Pythonno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioningShardinghorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accounts

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSadas EngineSiriDBSQream DBXTDB infoformerly named Crux
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

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I SQream, you SQream, we all SQream for … data analytics?
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SQream Announces Strategic Integration for Powerful Big Data Analytics with Dataiku
9 February 2024, insideBIGDATA

SQream Joins Samsung Cloud Platform Ecosystem
26 July 2023, Datanami

SQream Technologies raises $39.4 million for GPU-accelerated databases
24 June 2020, VentureBeat

Chinese giant Alibaba leads investment round in Israel big-data startup
30 May 2018, The Times of Israel

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