Fully homomorphic encryption (FHE) schemes are either lightweight and can evaluate boolean circuits or are relatively heavy and can only evaluate arithmetic circuits on encrypted vectors, i.e., they perform single instruction multiple data operations (SIMD). SIMD FHE schemes can either perform exact modular arithmetic in the case of the Brakerski-Gentry-Vaikuntanathan (BGV) and Brakerski-Fan-Vercauteren (BFV) schemes or approximate arithmetic in the case of the Cheon-Kim- Kim-Song (CKKS) scheme. While one can homomorphically switch between BGV/BFV and CKKS using the computationally expensive bootstrapping procedure, it is unknown how to switch between schemes without bootstrapping. Finding more efficient methods than bootstrapping of converting between these schemes was stated as an open problem by Halevi and Shoup, Eurocrypt 2015 [33,32]. In this work, we provide strong evidence that homomorphic switching between CKKS and BGV/BFV is as hard as bootstrapping. In more detail, if one could efficiently switch between these SIMD schemes, then one could bootstrap these SIMD FHE schemes using a single call to a homomorphic scheme-switching algorithm without applying homomorphic linear transformations. Thus, one cannot hope to obtain significant improvements to homomorphic scheme-switching without also significantly improving the state-of-the-art for bootstrapping. We also explore the relative hardness of computing homomorphic comparison in these same SIMD FHE schemes, as a secondary contribution. We show that given a comparison algorithm, one can bootstrap these schemes using a few calls to the comparison algorithm for typical parameter settings. While we focus on the comparison function in this work, the overall approach to demonstrate relative hardness of computing specific functions homomorphically extends beyond comparison to other useful functions such as min/max or ReLU.