I think the way they support the ingesting service for Pulse Elasticsearch and OpenSearch is not really great. If I got to attach a few more records, they don't support it. It's all rewrite every time; basically, I truncate the index and then deploy a new index and do a blueprint deployment. I think if they can support ingesting for a few records at any time, that would be great. It will just go ahead and attach to the existing instance. I think instead of supporting the machine learning services, I'm not sure how many people are using their machine learning service. Rather, if they can support the LLM querying inside Pulse Elasticsearch and OpenSearch, that would be great. They should support the LLM integration inside Pulse Elasticsearch and OpenSearch.
Indexing and Search solutions streamline the retrieval of information by organizing data efficiently. These tools are essential for businesses needing quick access to large volumes of data.
Effective Indexing and Search solutions are critical for maintaining productivity in data-intensive environments. They enable users to sift through vast amounts of information quickly, extracting relevant details without manual effort. These solutions support various data types and formats,...
I think the way they support the ingesting service for Pulse Elasticsearch and OpenSearch is not really great. If I got to attach a few more records, they don't support it. It's all rewrite every time; basically, I truncate the index and then deploy a new index and do a blueprint deployment. I think if they can support ingesting for a few records at any time, that would be great. It will just go ahead and attach to the existing instance. I think instead of supporting the machine learning services, I'm not sure how many people are using their machine learning service. Rather, if they can support the LLM querying inside Pulse Elasticsearch and OpenSearch, that would be great. They should support the LLM integration inside Pulse Elasticsearch and OpenSearch.