Changed docs to mention KurrentDB rather than EventStoreDB.

Author: johnbywater

README.md

@@ -173,7 +173,7 @@ There are projects that adapt popular ORMs such as
 and [SQLAlchemy](https://github.com/pyeventsourcing/eventsourcing-sqlalchemy#readme).
 There are projects that adapt specialist event stores such as
 [Axon Server](https://github.com/pyeventsourcing/eventsourcing-axonserver#readme) and
-[EventStoreDB](https://github.com/pyeventsourcing/eventsourcing-eventstoredb#readme).
+[KurrentDB](https://github.com/pyeventsourcing/eventsourcing-kurrentdb#readme).
 There are projects that support popular NoSQL databases such as
 [DynamoDB](https://github.com/pyeventsourcing/eventsourcing-dynamodb#readme).
 There are also projects that provide examples of using the

docs/topics/introduction.rst

@@ -539,7 +539,7 @@ included in this library, for example by adapting popular ORMs such as
 and `SQLAlchemy <https://github.com/pyeventsourcing/eventsourcing-sqlalchemy#readme>`_,
 specialist event store databases such as
 `Axon Server <https://github.com/pyeventsourcing/eventsourcing-axonserver#readme>`_
-and `EventStoreDB <https://github.com/pyeventsourcing/eventsourcing-eventstoredb#readme>`_,
+and `KurrentDB <https://github.com/pyeventsourcing/eventsourcing-kurrentdb#readme>`_,
 alternative model and serialisation frameworks such as Pydantic and orjson, and for
 serving applications and running systems with efficient
 inter-process communication technologies like `gRPC <https://github.com/pyeventsourcing/eventsourcing-grpc#readme>`_.

docs/topics/persistence.rst

@@ -1335,7 +1335,7 @@ that support using popular ORMs for persistence such as
 and `SQLAlchemy <https://github.com/pyeventsourcing/eventsourcing-sqlalchemy#readme>`_,
 specialist event stores such as
 `Axon Server <https://github.com/pyeventsourcing/eventsourcing-axonserver#readme>`_
-and `EventStoreDB <https://github.com/pyeventsourcing/eventsourcing-eventstoredb#readme>`_,
+and `KurrentDB <https://github.com/pyeventsourcing/eventsourcing-kurrentdb#readme>`_,
 and popular NoSQL databases such as
 `DynamoDB <https://github.com/pyeventsourcing/eventsourcing-dynamodb#readme>`_.