OpenSearch specialists for your dedicated team.

Where OpenSearch fits in a long-term product team.

The fork happened over licensing, and for many organisations that is the entire decision. Apache 2.0 removes the commercial restrictions that came with Elasticsearch's licence change, which matters most to anyone embedding search in a product they sell.

The two have diverged since. Feature parity is no longer safe to assume, plugin ecosystems differ, and client libraries are not interchangeable. Choosing on the basis of a comparison from several years ago is how teams end up surprised by a missing capability.

What your dedicated team does with OpenSearch.

Log analytics is the most common deployment and the one where cost discipline matters most. Index lifecycle management moving old indices to cheaper storage and deleting them on schedule is the difference between a proportionate bill and a large one.

Configuring that properly is platform work for a dedicated cloud and DevOps team.

Common OpenSearch use cases.

• Search without licence restrictions Apache 2.0 terms where search is embedded in a product being sold.
• Log retention managed by policy Lifecycle rules moving and expiring indices, which is the main cost lever.
• Feature parity verified Capabilities checked against current versions.

Adding OpenSearch skills to your team.

OpenSearch work is assigned inside platform or AI capacity depending on whether the constraint is operating the cluster or the relevance of what it returns.

OpenSearch specialists join your team remotely as dedicated, full-time team members, selected, employed and managed by us in Chiang Mai and Bangkok. Companies that hire offshore developers through Azendo add the skill at the next monthly cycle.