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    <title>stream-processor</title>
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    <updated>2026-06-29T04:25:42+00:00</updated>
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            <entry>
            <id>https://links.biapy.com/links/10426</id>
            <title type="text"><![CDATA[RisingWave]]></title>
            <link rel="alternate" href="https://risingwave.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10426"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Real-Time Event Streaming Platform.
Streaming CDC, stream processing, low-latency serving, and Iceberg management. 

RisingWave is a real-time event streaming platform designed to offer the simplest and most cost-effective way to process, analyze, and manage real-time event data — with built-in support for the Apache Iceberg™ open table format. It provides both a Postgres-compatible SQL interface and a DataFrame-style Python interface.

RisingWave can ingest millions of events per second, continuously join and analyze live streams with historical data, serve ad-hoc queries at low latency, and persist fresh, consistent results to Apache Iceberg™ or any other downstream system.

- [RisingWave @ GitHub](https://github.com/risingwavelabs/risingwave).

Related contents:

- [The Case for Hybrid Cache for Object Stores @ Data Engineer Things&amp;#039; Medium](https://blog.dataengineerthings.org/the-case-for-hybrid-cache-for-object-stores-4b1f02ec6c9a).
- [You Gotta Push If You Wanna Pull @ Gunnar Morling](https://www.morling.dev/blog/you-gotta-push-if-you-wanna-pull/).]]>
            </summary>
            <updated>2025-12-08T13:43:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1692</id>
            <title type="text"><![CDATA[Bento]]></title>
            <link rel="alternate" href="https://warpstreamlabs.github.io/bento/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1692"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fancy stream processing made operationally mundane.

Bento is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads.

It comes with a powerful mapping language, is easy to deploy and monitor, and ready to drop into your pipeline either as a static binary, docker image, or serverless function, making it cloud native as heck.

- [Bento @ GitHub](https://github.com/warpstreamlabs/bento).

Related contents:

- [Episode \#625: From open source to acquired @ Changelog Interviews](https://changelog.com/podcast/625).]]>
            </summary>
            <updated>2025-08-28T20:37:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6487</id>
            <title type="text"><![CDATA[Benthos]]></title>
            <link rel="alternate" href="https://github.com/benthosdev/benthos" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6487"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fancy stream processing made operationally mundane.
Benthos is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads.
It comes with a powerful mapping language, is easy to deploy and monitor, and ready to drop into your pipeline either as a static binary, docker image, or serverless function, making it cloud native as heck.
Benthos is declarative, with stream pipelines defined in as few as a single config file, allowing you to specify connectors and a list of processing stages]]>
            </summary>
            <updated>2025-08-29T09:58:26+00:00</updated>
        </entry>
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