In more complex distributed designs, where there is a significant amount of data exchanged between the nodes on the local network, a new set of rules comes into play. Atomicity, Consistency, Isolation and Durability (ACID) must be given up in order to truly take advantage of going distributed. But while it is clear that the old rules no longer apply, what could replace them is still nebulous. Distributed programming has remained extremely difficult.
Hydra takes a step back from distributed systems, and merely tries to make full use of all CPUs on a single computer, as if it were a mainframe. Hydra retains the principles of ACID, using transactional semantics to simulate a single-threaded system. To the programmer, there are no threads, no locks, and no deadlocks.
As a way to visualize this, imagine the many heads of a Hydra at work. Each head handles one task at a time. Each head works on its own, ignoring the other heads; but sometimes a conflict occurs between them. In such a case, the head that completed its task first is victorious, and the other head is cut off. The chopped-off head then grows back, and begins anew. LPC running on a virtual machine. However, LPC programs do not interact with the database, they are part of the database, alongside the data they work on. Rather than traditional records, rows and tables, the database offers persistence: the full state of the system is preserved across reboots.
As objects can be recompiled in place while remaining functional, complex database upgrades can be performed without taking the system down, and even without missing a beat. When a reboot is necessary, for example to upgrade Hydra itself, the system can be back up again in seconds.
Hydra also offers rollbacks in a different context: a function in LPC can be made atomic, so that if an error should occur inside it, all the changes made by that function are rolled back. This has proven to be invaluable for preserving consistency in a persistent system.DGD. DGD began its life as a MUD server engine, and is still used in that fashion, for example by Skotos. DGD became open source in February 2010. Hydra and DGD are fully compatible; the only difference is that Hydra is faster on multi-processor machines.
Executables for Hydra are frequently made available here. These are fully functional, but are limited to at most 64K objects and 255 connected users. Unrestricted binaries are available under a commercial license. A license will cost about as much as hiring a highly-qualified computer firstname.lastname@example.org (or email@example.com if you are already on my whitelist).
There is also a mailing list for discussing Hydra and DGD.