1. Insufficient hardware resources: NoSQL databases can require a large amount of memory and CPU resources, so insufficient hardware can lead to poor performance.
2. Network latency: Network latency can cause delays in data transfer, leading to slower performance.
3. Indexing issues: Indexing is critical for efficient data retrieval, so issues with indexing can lead to poor performance.
4. Data modeling issues: Poor data modeling can lead to inefficient data retrieval and slow performance.
5. Data sharding: Data sharding can cause increased network traffic and complexity, leading to slower performance.
6. Unoptimized queries: Queries that are not optimized for the specific NoSQL database can lead to slow performance.
7. Concurrency issues: NoSQL databases are designed to handle a high level of concurrent access, but issues with concurrency control can lead to slow performance.
8. Scaling issues: Scaling a NoSQL database can be complex and may lead to performance issues if not done properly.
9. Disk I/O: Disk I/O can be a bottleneck for NoSQL databases, leading to slow performance.
10. Memory leaks: Memory leaks can cause the NoSQL database to consume excessive memory, leading to slow performance.

It’s worth noting that the performance of a NoSQL database will depend on the specific use case, the volume and complexity of data, and the specific features of the NoSQL database in use.