Apache Hudi

Apache Hudi

Apache Corporation
Apache Kafka

Apache Kafka

The Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
+

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About

Hudi is a rich platform to build streaming data lakes with incremental data pipelines on a self-managing database layer, while being optimized for lake engines and regular batch processing. Hudi maintains a timeline of all actions performed on the table at different instants of time that helps provide instantaneous views of the table, while also efficiently supporting retrieval of data in the order of arrival. A Hudi instant consists of the following components. Hudi provides efficient upserts, by mapping a given hoodie key consistently to a file id, via an indexing mechanism. This mapping between record key and file group/file id, never changes once the first version of a record has been written to a file. In short, the mapped file group contains all versions of a group of records.

About

Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages.

About

Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data Warehouse solution that helps companies with streaming primitives over hadoop compatible storages

Audience

Companies searching for an open-source distributed event streaming platform for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications

Audience

Organizations that want a unified analytics engine for large-scale data processing

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Apache Corporation
Founded: 1954
United States
hudi.apache.org

Company Information

The Apache Software Foundation
Founded: 1999
United States
kafka.apache.org

Company Information

Apache Software Foundation
Founded: 1999
United States
spark.apache.org

Alternatives

Apache Iceberg

Apache Iceberg

Apache Software Foundation

Alternatives

Alternatives

dbt

dbt

dbt Labs
AWS Glue

AWS Glue

Amazon
Apache Doris

Apache Doris

The Apache Software Foundation
EMQX

EMQX

EMQ Technologies

Categories

Categories

Categories

Message Queue Features

Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling

Streaming Analytics Features

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Integrations

DataHub
Onehouse
Altinity
Amazon EC2
Archon Data Store
Baidu AI Cloud Stream Computing
BigBI
BigID
Databricks Data Intelligence Platform
DeltaStream
Eclipse Streamsheets
IBM Databand
Nutanix Karbon Platform Services
ObserveNow
Pandora FMS
Querona
Splunk Infrastructure Monitoring
StackStorm
Stonebranch
lakeFS

Integrations

DataHub
Onehouse
Altinity
Amazon EC2
Archon Data Store
Baidu AI Cloud Stream Computing
BigBI
BigID
Databricks Data Intelligence Platform
DeltaStream
Eclipse Streamsheets
IBM Databand
Nutanix Karbon Platform Services
ObserveNow
Pandora FMS
Querona
Splunk Infrastructure Monitoring
StackStorm
Stonebranch
lakeFS

Integrations

DataHub
Onehouse
Altinity
Amazon EC2
Archon Data Store
Baidu AI Cloud Stream Computing
BigBI
BigID
Databricks Data Intelligence Platform
DeltaStream
Eclipse Streamsheets
IBM Databand
Nutanix Karbon Platform Services
ObserveNow
Pandora FMS
Querona
Splunk Infrastructure Monitoring
StackStorm
Stonebranch
lakeFS
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