update line about horizontal scaling under development

TraceMachina · Jan 21, 2022 · e2acd96 · e2acd96
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Showing 1 changed file with 1 addition and 1 deletion.
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@@ -55,7 +55,7 @@ Weaviate makes it easy to use state-of-the-art ML models while giving you the sc
 Weaviate let’s you search through your data even if it’s currently being imported or updated. In addition, every write is written to a Write-Ahead-Log (WAL) for immediately persisted writes - even when a crash occurs.
 
 * **Horizontal Scalability**<br>
-  Scale Weaviate for your exact needs, e.g. High-Availability, maximum ingestion, largest possible dataset size, maximum queries per second, etc. (Currently under development, ETA Fall 2021) 
+  Scale Weaviate for your exact needs, e.g. High-Availability, maximum ingestion, largest possible dataset size, maximum queries per second, etc. (Multi-Node sharding since `v1.8.0`, Replication under development) 
 
 * **Cost-Effectiveness**<br>
   Very large datasets do not need to be kept entirely in memory in Weaviate. At the same time available memory can be used to increase the speed of queries. This allows for a conscious speed/cost trade-off to suit every use case.