All the wonderful loose coupling on the service boundary doesn't help you the least bit, if you tightly couple a set of services on a common store. The temptation is just too big that some developer will go and make a database join across the "data domains" of services and cause a co-location dependency of data and schema dependencies between services. If you share data stores, you break the autonomy rule and you simply don't have a service.

Separating out data stores means at least that every service has it's own "tablespace" or "database" and that in-store joins between those stores are absolutely forbidden. If you have a service managing customers and a service managing invoices, the invoice service must go through the service front for anything that has to do with customer data.

If you want to do reporting across data owned by several services, you must have a reporting service that pulls the data through service interfaces, consolidates it and creates the reports from there.

Will this all be a bit slower than coupling in the store? Sure. It will make your architecture infinitely more agile, though and allows you to implement a lot of clustering scalability patterns. In that way, autonomy is not about making everything a Porsche 911; it's about making the roads wider so that nobody (including the Porsche) ends up in a traffic jam all the time. It's also about paving roads that not only let you from A to B in one stretch, but also have something useful called "exits" that let you get off or on that road at any other place between those two points.

If you decide to throw out you own customer service and replace it with a wrapper around Siebel, your invoice service will never learn about that change. If the invoice service were reaching over into co-located tables owned by the (former) customer service, you'd have a lot of work to do to untangle things. You don't need to do that untangling and all that complication. As an architect you should keep things separate from the start and make it insanely difficult for developers to break those rules. Having different databases and, better yet, to scatter them over several machines at least at development time makes it hard enough to keep the discipline.