Neo4j is planning to release version 1.9, which will include improvements in HA cluster manageability and indexing. The upcoming major release, Neo4j 2.0, aims to make the product even better by enhancing ease of use, handling big data, and providing a more robust learning experience. The company has several initiatives planned for scaling into the 100B+ range and beyond, including vertical scalability, optimizations for traversals across densely-connected nodes, and a horizontally-scalable, distributed graph designed as part of the Rassilon project. Neo4j also plans to improve its remote API, Cypher functionality, and documentation, while making it easier for community members to contribute to the ecosystem. The company is optimistic about the coming year and invites feedback on product direction from users.