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DBMS > Databricks vs. Graph Engine vs. OpenMLDB

System Properties Comparison Databricks vs. Graph Engine vs. OpenMLDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonOpenMLDB  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.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelDocument store
Relational DBMS
Graph DBMS
Key-value store
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score102.66
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Score0.58
Rank#239  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.05
Rank#358  Overall
#38  Time Series DBMS
Websitewww.databricks.comwww.graphengine.ioopenmldb.ai
Technical documentationdocs.databricks.comwww.graphengine.io/­docs/­manualopenmldb.ai/­docs/­zh/­main
DeveloperDatabricksMicrosoft4 Paradigm Inc.
Initial release201320102020
Current release2024-2 February 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++, Java, Scala
Server operating systemshosted.NETLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesFixed schema
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 indexesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
SQLAlchemy
Supported programming languagesPython
R
Scala
C#
C++
F#
Visual Basic
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
DatabricksGraph Engine infoformer name: TrinityOpenMLDB
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Recent citations in the news

Databricks reportedly could acquire serverless database startup Neon for $1B+
5 May 2025, SiliconANGLE

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8 May 2025, Yahoo Finance

Report: Databricks Close to Raising Record $9.5 Billion Amid AI Boom
6 May 2025, PYMNTS.com

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6 May 2025, techzine.eu

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