"Enterprises are increasingly moving toward HTAP (Hybrid Transactional and Analytical Processing) to unify OLTP (operational) and OLAP (analytical) data. This convergence is becoming critical for enabling agentic AI, which depends on real-time decision-making,"
"Recent moves in the industry, such as Databricks' acquisition of Neon and Snowflake's acquisition of Crunchy Data, highlight how most vendors are aligning with this broader trend,"
"Unifying workloads offers a single, reliable source of truth, reduces infrastructure overhead, and makes it easier to tackle complex tasks like fraud detection or customer recommendations,"
Neo4j launched Infinigraph, a distributed graph architecture that combines operational (OLTP) and analytical (OLAP) workloads to provide HTAP capabilities. Infinigraph uses sharding to distribute graph property data across cluster members, enabling scalable real-time queries and transactions. The architecture is available in Neo4j Enterprise Edition and will be offered in AuraDB. Unified transactional and analytical processing reduces the need for multiple systems and complex ETL pipelines, lowering infrastructure overhead and providing a single source of truth. These capabilities support agentic AI and autonomous workflows by enabling real-time decision-making for tasks like fraud detection, recommendations, and resource optimization.
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