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DBMS > Databricks vs. EXASOL vs. Microsoft Azure Synapse Analytics vs. Transwarp StellarDB

System Properties Comparison Databricks vs. EXASOL vs. Microsoft Azure Synapse Analytics vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEXASOL  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionThe 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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA distributed graph DBMS built for enterprise-level graph applications
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitewww.databricks.comwww.exasol.comazure.microsoft.com/­services/­synapse-analyticswww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.databricks.comwww.exasol.com/­resourcesdocs.microsoft.com/­azure/­synapse-analytics
DeveloperDatabricksExasolMicrosoftTranswarp
Initial release201320002016
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedhosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes
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.yesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesyesSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
ADO.NET
JDBC
ODBC
OpenCypher
Supported programming languagesPython
R
Scala
Java
Lua
Python
R
C#
Java
PHP
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsTransact SQL
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno 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 dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardyesyes
More information provided by the system vendor
DatabricksEXASOLMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTranswarp StellarDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEXASOLMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTranswarp StellarDB
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