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DBMS > atoti vs. Databricks vs. Microsoft Azure Synapse Analytics

System Properties Comparison atoti vs. Databricks vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatabricks  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelObject oriented DBMSDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websiteatoti.iowww.databricks.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.atoti.iodocs.databricks.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperActiveViamDatabricksMicrosoft
Initial release20132016
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedhosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)with Databricks SQLyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesPython
R
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresPythonuser defined functions and aggregatesTransact SQL
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyes
More information provided by the system vendor
atotiDatabricksMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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atotiDatabricksMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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