Aerospike Database 7 delivers enterprise resiliency, scale, and speed

Aerospike has released Version 7 of its real-time, multi-model database with a new unified storage format and other significant in-memory database enhancements.

  • 8 months ago Posted in

The unified storage format in Aerospike Database 7 provides the flexibility to choose the right storage engine for different kinds of workloads, even within the same cluster. Developers no longer need to understand the intricacies of in-memory, hybrid-memory, and all-flash storage models. And in-memory deployments gain fast restarts for enterprise-grade resiliency and compression that shrinks the memory footprint of real-time applications.

“Enterprises traditionally turn to in-memory databases for sub-millisecond performance, but they are often brittle, slow to recover, and a hassle to manage and scale,” said Lenley Hensarling, chief product officer, Aerospike. “Now, any enterprise can deploy resilient in-memory applications on a modern, real-time database without compromising on speed, scale, or reliability — and use a fraction of the hardware and development effort of other offerings.”

One-third of Aerospike customers already use Aerospike for in-memory applications. The Aerospike Database optimizes performance with a unique hybrid memory architecture. Enterprises can choose in-memory, all flash, or hybrid storage to maximize performance and scale for a particular workload.

Major Aerospike Database 7 New Features

Major features of 7 include:

• Unified Storage Format for all Storage Engines. A single storage engine and the same programming logic simplifies application deployment and operations.

• Warm Restarts for High Resiliency. The new in-memory storage engine puts data in shared memory instead of process memory (RAM) enabling restarts in as little as a few seconds — instead of minutes or hours.

• In-memory Compression Maximizes Memory Efficiency. Version 7 is the first database to enable LZ4, Snappy or ZStandard compression algorithms to gain the same compression ratios regardless of storage engine, saving on hardware cost.

• In-memory Data Mirrored to Persistence Layer for Best Performance. When deploying in-memory with persistence, all operations like defrag, garbage collection, tomb raiding, and re-balance take place in memory without touching the drive except for mirroring the changes.

• Deploy without Drives. In-memory namespaces can be deployed without a persistence layer by taking advantage of the Aerospike Shared Memory Tool (ASMT) to persist the namespace from shared memory to the file system after shutdown.

One Multi-model Database Simplifies Operations and Reduces Costs

The Aerospike Database handles diverse workloads across the most popular NoSQL data models — key value, document, graph, plus SQL access for analytics — in a single real-time data platform. Aerospike’s multi-model approach simplifies database operations and delivers low-latency, high-throughput processing across data models while handling mixed workloads from gigabyte to petabyte scale.

Operational benefits of Aerospike’s multi-model approach have resulted in 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 key-value, document, or graph databases.

New UI toolkit enables customers to build data-driven applications up to 90% faster than starting...
With up to 95 percent reduction in infrastructure costs, organizations of any size can now benefit...
As the official IT provider for golf’s original Championship, NTT DATA will unveil its advanced...
Latest version transforms data self-service with enhanced intelligence, enabling a wider variety of...
Corresponding 2024 Summer Release free webinar offers in-depth Insights and Interaction Summary...
AI-enabled customer service pioneer selects Fivetran as part of overall strategy to modernise its...
To solve for rising IT costs, IT and finance leaders collaborate to scrutinise technology spend and...
For the first time ever, the data within the largest companies listed on the London Stock Exchange...