Despite their advantages, implementing coalescing filters is not without challenges. One key consideration is the balance between performance and data completeness. While reducing data volume is beneficial, care must be taken to ensure that significant data patterns are not overlooked in the process. Additionally, the complexity of designing effective coalescing algorithms can pose a challenge, requiring specialized knowledge and programming skills.