|
gptkbp:instanceOf
|
open-source storage layer
|
|
gptkbp:category
|
big data
cloud computing
data management
|
|
gptkbp:compatibleWith
|
gptkb:Apache_Hive
gptkb:Apache_Spark
gptkb:Google_BigQuery
gptkb:Presto
gptkb:Trino
gptkb:Amazon_Athena
gptkb:Azure_Synapse
|
|
gptkbp:developedBy
|
gptkb:Databricks
|
|
gptkbp:enables
|
data reliability on cloud storage
lakehouse architecture
transactional data lakes
|
|
gptkbp:feature
|
gptkb:Delta_Sharing_protocol
data governance
data sharing
data auditing
data compaction
data reliability
data upserts and deletes
scalable metadata handling
unified batch and streaming
|
|
gptkbp:firstReleased
|
2019
|
|
gptkbp:format
|
Parquet
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
DataBricks Delta Lake
|
|
gptkbp:latestReleaseVersion
|
gptkb:Delta_Lake_3.0
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:openSource
|
true
|
|
gptkbp:partOf
|
gptkb:Databricks_Lakehouse_Platform
|
|
gptkbp:repository
|
https://github.com/delta-io/delta
|
|
gptkbp:runsOn
|
gptkb:Google_Cloud_Storage
gptkb:AWS_S3
gptkb:Azure_Data_Lake_Storage
|
|
gptkbp:supports
|
time travel
ACID transactions
data versioning
schema enforcement
streaming and batch data
|
|
gptkbp:usedBy
|
gptkb:Fortune_500_companies
data analysts
data scientists
data engineers
|
|
gptkbp:usedFor
|
gptkb:machine_learning
big data analytics
data warehousing
ETL pipelines
data lakes
|
|
gptkbp:website
|
https://delta.io/
|
|
gptkbp:bfsParent
|
gptkb:Databricks_Partner_Connect
|
|
gptkbp:bfsLayer
|
6
|