May 2022 Summaries

We released version 1.6.0 of our JDBC driver, adding secondary index support and batch reads and writes, to help developers optimize performance and unlock new use cases. An article on data modeling for speed at scale provides strategies to get the most out of Aerospike, while recent blog posts cover topics such as a Trino Connector chapter and new client releases. The community has asked about various issues, including atomic increments, compatibility with Enterprise Server versions, and deployment problems in GCP.

Aerospike Database is designed to provide predictable sub-millisecond access to billions and trillions of objects, while keeping the cluster size small. It uses proprietary algorithms for consistent, resilient, and scalable storage across cluster nodes. Aerospike provides a record-oriented store with schema-less lists of bins, allowing data to be stored in multiple ways - as a record, map, or list. The database supports Collection Data Types (CDTs) for efficient storage of hierarchical objects. It has mechanisms for managing temporary objects, optimizing speed, and providing high-performance capabilities such as secondary indexes, batch operations, server-side operations, sets, and set indexes. Aerospike also offers data design considerations including replication for reliability and performance, client-side processing, and organization of namespaces with different storage types. The database is designed to support speed-at-scale applications, allowing companies of any size to leverage large amounts of data without incurring huge operational costs while scaling in the future.

Multi-access edge compute (MEC) aims to lower latency and improve service delivery by bringing network gears closer to end users. The global MEC market is expected to grow at a CAGR of more than 42% from 2021 to 2028, driven by the increasing use of IoT devices across various industries. Key use cases for MEC include multiplayer cloud gaming, image/video analytics, content management at edge, and IoT applications at any scale. Aerospike's real-time data platform adds value to these use cases by offering consistent performance, low TCO, and efficient handling of time series data models. As MEC becomes more mainstream, we can expect an explosion of new use cases that leverage its low latency capabilities.

MEC is primarily about lowering latency to deliver faster service to end-users, with a focus on three dimensions: network latency, computation latency, and data processing latency at the edge. The global MEC market is expected to experience significant growth, driven by increasing IoT adoption and the need for faster decision-making in various industries. Telcos can capitalize on this trend by moving up the value chain and capturing revenues from edge platforms and applications. Aerospike's real-time data platform offers a key value proposition for MEC use cases such as multiplayer cloud gaming, image/video analytics, content management at edge, and IoT at any scale, providing low latency, real-time performance, and efficient data processing capabilities.

Aerospike secondary indexes can significantly speed up Trino SQL queries by allowing for efficient querying of non-primary key bins. By leveraging Aerospike's enhanced secondary index functionality, users can accelerate their secondary key queries at scale. Creating a secondary index on a high-cardinality bin can help mitigate the performance penalty associated with full table scans, and the Trino connector automatically analyzes queries to apply secondary indexes if available. Users can declare specific secondary indexes to use in queries, and the connector will select the most suitable one based on availability. This feature can lead to substantial performance gains, as demonstrated by example queries that show a significant improvement when using secondary indexes compared to full table scans.