In this study, we present a new global monthly gridded sea level anomaly dataset for sea-level and climate change research. The dataset is produced using a fully independent data-processing framework and is based on measurements from at least two satellites operating at the same time each month. Comparisons with existing global datasets and coastal measurements show close agreement in long-term sea level rise, while also revealing differences in regions with strong ocean variability.