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articles/iot-operations/connect-to-cloud/howto-configure-kafka.md

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@@ -465,11 +465,10 @@ The compression field enables compression for the messages sent to Kafka topics.
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| Value | Description | Supported |
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| ----- | ----------- | --------- |
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| none | No compression or batching is applied. *none* is the default value if no compression is specified. | Yes |
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| gzip | GZIP compression and batching are applied. GZIP is a general-purpose compression algorithm that offers a good balance between compression ratio and speed. [Event Hubs Premium](../../event-hubs/event-hubs-premium-overview.md) pricing tier is required for GZIP compression. | Yes |
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| gzip | GZIP compression and batching are applied. GZIP is a general-purpose compression algorithm that offers a good balance between compression ratio and speed. | Yes. [Event Hubs Premium](../../event-hubs/event-hubs-premium-overview.md) pricing tier is required for GZIP compression. |
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| snappy | Snappy compression and batching are applied. Snappy is a fast compression algorithm that offers moderate compression ratio and speed. | Not supported by [Azure Event Hubs](../../event-hubs/azure-event-hubs-kafka-overview.md#compression). Use [Apache Kafka](https://kafka.apache.org). |
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| lz4 | LZ4 compression and batching are applied. LZ4 is a fast compression algorithm that offers low compression ratio and high speed. | Not supported by [Azure Event Hubs](../../event-hubs/azure-event-hubs-kafka-overview.md#compression). Use [Apache Kafka](https://kafka.apache.org). |
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### Batching
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Aside from compression, you can also configure batching for messages before sending them to Kafka topics. Batching allows you to group multiple messages together and compress them as a single unit, which can improve the compression efficiency and reduce the network overhead.

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