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DBMS > Databricks vs. OpenEdge vs. SQream DB

System Properties Comparison Databricks vs. OpenEdge vs. SQream DB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOpenEdge  Xexclude from comparisonSQream DB  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.Application development environment with integrated database management systema GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.databricks.comwww.progress.com/­openedgesqream.com
Technical documentationdocs.databricks.comdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.sqream.com
DeveloperDatabricksProgress Software CorporationSQream Technologies
Initial release201319842017
Current releaseOpenEdge 12.2, March 20202022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, CUDA, Haskell, Java, Scala
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Types
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.yesyes
Secondary indexesyesyesno
SQL infoSupport of SQLwith Databricks SQLyes infoclose to SQL 92yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesPython
R
Scala
Progress proprietary ABL (Advanced Business Language)C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesuser defined functions in Python
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infosince Version 11.4horizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers and groups
More information provided by the system vendor
DatabricksOpenEdgeSQream DB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksOpenEdgeSQream DB
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