Apache FlinkApache Software Foundation
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Related Products
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Apache Flink:
About
Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. Any kind of data is produced as a stream of events. Credit card transactions, sensor measurements, machine logs, or user interactions on a website or mobile application, all of these data are generated as a stream. Apache Flink excels at processing unbounded and bounded data sets. Precise control of time and state enable Flink’s runtime to run any kind of application on unbounded streams. Bounded streams are internally processed by algorithms and data structures that are specifically designed for fixed sized data sets, yielding excellent performance. Flink is designed to work well each of the previously listed resource managers.
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Materialize:
About
Materialize is a reactive database that delivers incremental view updates. We help developers easily build with streaming data using standard SQL. Materialize can connect to many different external sources of data without pre-processing. Connect directly to streaming sources like Kafka, Postgres databases, CDC, or historical sources of data like files or S3. Materialize allows you to query, join, and transform data sources in standard SQL - and presents the results as incrementally-updated Materialized views. Queries are maintained and continually updated as new data streams in. With incrementally-updated views, developers can easily build data visualizations or real-time applications. Building with streaming data can be as simple as writing a few lines of SQL.
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Apache Flink:
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Materialize:
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Apache Flink:
Audience
Streaming analytics framework for anyone
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Materialize:
Audience
Streaming database solution for businesses providing them real-time analytics
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Apache Flink:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Materialize:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Apache Flink:
API
Offers API
Supported
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Materialize:
API
Offers API
Not Supported
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Apache Flink:
Screenshots and Videos |
Materialize:
Screenshots and Videos |
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Apache Flink:
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Materialize:
Pricing
$0.98 per hour
Free Version
Not Supported
Free Trial
Supported
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Apache Flink:
Reviews/
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Materialize:
Reviews/
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Apache Flink:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Materialize:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Apache Flink:
Company InformationApache Software Foundation
Founded: 1999
United States
flink.apache.org
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Materialize:
Company InformationMaterialize
United States
materialize.com
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Apache Flink:
Alternatives |
Materialize:
Alternatives |
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Materialize:
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Materialize:
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Apache Flink:
Categories |
Materialize:
Categories |
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Apache Flink:
Integrations
Hue
Supported
Amazon Kinesis
Not Supported
Amazon Managed Service for Apache Flink
Supported
Amazon S3
Not Supported
Apache Doris
Supported
Apache Iceberg
Supported
Apache Kafka
Not Supported
Apache Kudu
Supported
Apache Zeppelin
Supported
Gravity Data
Not Supported
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Materialize:
Integrations
Hue
Supported
Amazon Kinesis
Supported
Amazon Managed Service for Apache Flink
Not Supported
Amazon S3
Supported
Apache Doris
Not Supported
Apache Iceberg
Not Supported
Apache Kafka
Supported
Apache Kudu
Not Supported
Apache Zeppelin
Not Supported
Gravity Data
Supported
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Apache Flink:
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Materialize:
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