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DBMS > Databricks vs. OpenEdge vs. Prometheus vs. Yaacomo

System Properties Comparison Databricks vs. OpenEdge vs. Prometheus vs. Yaacomo

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOpenEdge  Xexclude from comparisonPrometheus  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
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 systemOpen-source Time Series DBMS and monitoring systemOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSRelational 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
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.databricks.comwww.progress.com/­openedgeprometheus.ioyaacomo.com
Technical documentationdocs.databricks.comdocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docs
DeveloperDatabricksProgress Software CorporationQ2WEB GmbH
Initial release2013198420152009
Current releaseOpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGo
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Android
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyes
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.yesyesno infoImport of XML data possibleno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLyes infoclose to SQL 92noyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesPython
R
Scala
Progress proprietary ABL (Advanced Business Language).Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesno
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infosince Version 11.4Shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoby FederationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.nononoyes
User concepts infoAccess controlUsers and groupsnofine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksOpenEdgePrometheusYaacomo
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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