Statements (52)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Apache_Ni_Fi
|
| gptkbp:built |
distributed architecture
|
| gptkbp:can_be_used_with |
data lakes
|
| gptkbp:deployment |
cloud environments
|
| gptkbp:designed_for |
real-time analytics
|
| gptkbp:developed_by |
gptkb:Apache_Software_Foundation
open source community |
| gptkbp:has_features |
data partitioning
|
| https://www.w3.org/2000/01/rdf-schema#label |
Apache Kudu Streaming
|
| gptkbp:integrates_with |
gptkb:Apache_Impala
gptkb:Apache_Spark |
| gptkbp:is_accessible_by |
REST API
SQL queries |
| gptkbp:is_available_on |
gptkb:Git_Hub
|
| gptkbp:is_compatible_with |
gptkb:Hadoop_ecosystem
data visualization tools machine learning frameworks |
| gptkbp:is_designed_for |
high throughput
|
| gptkbp:is_designed_to |
handle streaming data
|
| gptkbp:is_documented_in |
official documentation
|
| gptkbp:is_integrated_with |
streaming data sources
|
| gptkbp:is_optimized_for |
OLAP workloads
fast analytics |
| gptkbp:is_part_of |
Apache Software Foundation projects
data processing pipelines |
| gptkbp:is_scalable |
petabyte-scale data
|
| gptkbp:is_supported_by |
community contributors
|
| gptkbp:is_tested_for |
unit tests
|
| gptkbp:is_used_by |
data scientists
|
| gptkbp:is_used_for |
data warehousing
real-time dashboards |
| gptkbp:is_used_in |
big data applications
|
| gptkbp:is_utilized_by |
business intelligence tools
|
| gptkbp:offers |
schema evolution
|
| gptkbp:provides |
real-time data processing
data replication data compression low-latency data access strong consistency |
| gptkbp:released_by |
Apache License 2.0
|
| gptkbp:storage |
large volumes of data
|
| gptkbp:suitable_for |
Io T applications
|
| gptkbp:supports |
data analytics
data ingestion multi-tenancy multi-version concurrency control batch processing columnar storage |
| gptkbp:uses |
HDFS for storage
|
| gptkbp:written_in |
gptkb:C++
|
| gptkbp:bfsParent |
gptkb:Java_20
|
| gptkbp:bfsLayer |
5
|