| Feature | Enterprise | Standard |
| User instances | No | No |
| LocalDB | No | No |
| Dedicated admin connection | Yes | Yes |
| PowerShell scripting support | Yes | Yes |
| SysPrep support 1 | Yes | Yes |
| Support for data-tier application component operations - extract, deploy, upgrade, delete | Yes | Yes |
| Policy automation (check on schedule and change) | Yes | Yes |
| Performance data collector | Yes | Yes |
| Able to enroll as a managed instance in multi-instance management | Yes | Yes |
| Standard performance reports | Yes | Yes |
| Plan guides and plan freezing for plan guides | Yes | Yes |
| Direct query of indexed views (using NOEXPAND hint) | Yes | Yes |
| Automatic indexed views maintenance | Yes | Yes |
| Distributed partitioned views | Yes | No |
| Parallel indexed operations | Yes | No |
| Automatic use of indexed view by query optimizer | Yes | No |
| Parallel consistency check | Yes | No |
| SQL Server Utility Control Point | Yes | No |
| Buffer pool extension | Yes | Yes |
We'll explore scenarios involving nested queries, aggregations, custom scoring, and hybrid queries that combine multiple search criteria. 1. Nested Queries ElasticSearch Example: ElasticSearch supports nested documents, which allows for querying on nested fields with complex conditions. Query: Find products where the product has a review with a rating of 5 and the review text contains "excellent". { "query": { "nested": { "path": "reviews", "query": { "bool": { "must": [ { "match": { "reviews.rating": 5 } }, { "match": { "reviews.text": "excellent" } } ] } } } } } Redis Limitation: Redis does not support nested documents natively. While you can store nested structures in JSON documents using the RedisJSON module, querying these nested structures with complex condi...
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