You could also take a look at RecursiveArrayTools:
julia> using RecursiveArrayTools, StaticArrays
INFO: Precompiling module RecursiveArrayTools.
julia> m = [(@SVector randn(5)) for i in 1:100];
julia> rm = VectorOfArray(m)
100-element Array{SVector{5,Float64},1}:
[2.57562, 0.565917, 0.132054, -0.31207, 0.988647]
[-0.53834, 0.638448, -0.727466, 0.192804, 0.225448]
[-1.1491, -1.56327, 1.20963, 2.30094, -1.35736]
[-1.17971, 0.31592, -0.30782, -0.483111, -1.45646]
[1.31586, -0.777962, -2.99292, -0.186956, -0.161788]
[-0.744477, -0.0927292, -0.665998, -0.548381, 0.593098]
[-0.893014, -1.94784, -1.6863, 0.615776, 1.41121]
[-0.484544, 1.6242, 0.230385, 0.485394, -1.05647]
[-1.13256, -0.113689, 0.798387, 0.107504, 0.794548]
[1.84316, -0.295128, -1.30346, -0.0499972, 1.45501]
⋮
[2.25566, -1.45649, -0.125953, 0.194074, -0.220085]
[0.157373, 1.31999, -0.167246, 0.819113, -1.15088]
[2.24811, -0.566307, -0.914905, 0.814942, 0.994176]
[2.46972, 1.90351, 0.144164, -0.618719, 1.47789]
[-1.51414, 0.861183, 0.345974, 0.79902, 0.865369]
[0.255114, -1.43763, 0.710865, 1.25011, -0.0444176]
[-2.67157, 0.18663, 0.108644, -0.736388, 0.350107]
[-1.62857, -0.378901, 0.751386, -0.621748, 0.109279]
[-0.234332, -1.33627, -1.23564, -1.76831, 1.46161]
julia> rm[2,3]
-1.5632651809902731
julia> rm[:,3]
5-element SVector{5,Float64}:
-1.1491
-1.56327
1.20963
2.30094
-1.35736