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DBMS > Databricks vs. Graph Engine vs. PieCloudDB

System Properties Comparison Databricks vs. Graph Engine vs. PieCloudDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonPieCloudDB  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 engineA cloud-native analytic database platform with new technologoy for elastic MPP
Primary database modelDocument store
Relational DBMS
Graph DBMS
Key-value store
Relational 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
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.32
Rank#289  Overall
#133  Relational DBMS
Websitewww.databricks.comwww.graphengine.iowww.openpie.com
Technical documentationdocs.databricks.comwww.graphengine.io/­docs/­manual
DeveloperDatabricksMicrosoftOpenPie
Initial release20132010
Current release2.1, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and C
Server operating systemshosted.NEThosted
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APICLI Client
JDBC
ODBC
Supported programming languagesPython
R
Scala
C#
C++
F#
Visual Basic
Java
PL/SQL
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesuser defined functions
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
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 dataACIDnoACID
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.noyes
User concepts infoAccess controlUser Roles and pluggable authentication with full SQL Standard
More information provided by the system vendor
DatabricksGraph Engine infoformer name: TrinityPieCloudDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
PieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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DatabricksGraph Engine infoformer name: TrinityPieCloudDB
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