Aerospike, Inc. unveiled a new graph database with native support for the Gremlin query language at Aerospike Summit 2023.
More and more organizations need to integrate and support large graph data sets for better decisions in heavy transactional (OLTP) operations. But today’s graph databases fail to perform at scale with a sustainable cost model. This forces companies to waste time and resources creating inflexible custom solutions.
Aerospike Graph delivers millisecond multi-hop graph queries at extreme throughput across trillions of vertices and edges. Benchmarks show a throughput of more than 100,000 queries per second with sub-5ms latency — on a fraction of the infrastructure.
AiThority: How to Get Started with Prompt Engineering in Generative AI Projects
Developers can write applications with new and existing Gremlin queries in Aerospike Graph. These OLTP applications for AdTech, Customer 360, fraud detection and prevention, and other use cases can now operate at scale in real time.
“To meet the demands for enterprises building rich, real-time data services and applications, Aerospike’s multi-model platform continues to expand its legendary scale, low latency, and lowest total cost of ownership to the most popular areas of data management,” said Subbu Iyer, CEO of Aerospike. “We’ve now delivered Aerospike’s unique value propositions to the graph database market, where enterprises no longer need to spend lavishly on bespoke solutions to get real-time performance and scale.”
Latest Insights: What Techniques Will Deliver for Measuring Attention in 2023?
One Multi-model Database Simplifies Operations and Reduces Costs
The Aerospike Database handles diverse workloads across the three most popular NoSQL data models — key value, document, and graph — in a single real-time data platform. Aerospike’s comprehensive approach simplifies data management and delivers efficient querying of data sets across data models, while handling mixed workloads from gigabyte to petabyte scale — in the core and at the edge.
Aerospike Graph can independently scale compute and storage, enabling enterprises to pay only for the infrastructure required. Additional management benefits and cost savings come from Aerospike’s proven best-in-industry total cost of ownership (TCO), which shows that even at the highest levels of scale, Aerospike requires up to 80% less infrastructure than traditional NoSQL, document, or graph databases.
Read More: The Practical Applications of AI in Workplace
[To share your insights with us, please write to sghosh@martechseries.com]
Comments are closed.