For a 24-bit sigma-delta DAC, you would be lucky to get 18 real bits of INL. For a 32-bit delta-sigma DAC [TI sells one], you are *still* lucky to get 18-bits of real INL [called "ENOB" by the way-- look it up]. All of the extra bits are marketing hype for audiofools.
Whilst I agree that most 24+ bit ADCs have INL specifications of 4ppm or more, equating to 18bit linearity at best, it has nothing to do with ENOB which is purely a signal to noise ratio (SNR) specification. You could conceivably have a very linear, but noisy, ADC with <0.1ppm INL error but < 16 effective number of bits. Or fabulous noise performance (i.e. resolution) but terrible linearity.
As Marco posted, the 20 bit SAR LTC237x ADCs have the lowest specified INL of +/- 2ppm max, 0.5ppm typical of any ADCs that I am aware of, but lower ENOBs than most 24bit delta sigma convertors. They have much higher conversion rates though so the ENOBs can be considerably improved by filtering/averaging.
Not talking about DACs, but ADCs, the HP/Agilent/Keysight 3458A DMM is well recognized as having the best linearity of any other DMM in the world [0.05ppm INL, 0.02ppm DNL], and it has been this way for many decades.
That is probably true but I suspect the reputation has a lot to do with HP publishing the results of their linearity testing in their in house magazine HP Journal. I don't know of any similar publication of linearity tests on other 8.5 digit meters (such as the Datron 1281/Solartron 7081/Keithley 2002 etc.) which, although they may have less impressive guaranteed specs, it may be that they aren't that much worse than the 3458A in reality. Anybody know how the Transmlle 8081 compares?
Linearity errors at these levels are hard to measure so it's hardly surprising that there isn't much freely available information - only meteorology labs will be likely to have much interest in such data. Testing linearity at these levels against Josephson junctions is expensive so perhaps it was a smart move by HP to put the results into the public domain. Perhaps HP's competitors didn't have the resources to undertake linearity testing at these levels or didn't have the business case to do so.