Remove Cache Remove Internet Remove Lambda Remove Latency
article thumbnail

In-Stream Big Data Processing

Highly Scalable

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. In many cases join is performed on a finite time window or other type of buffer e.g. LFU cache that contains most frequent tuples in the stream. Logical Time Tracking.

Big Data 154
article thumbnail

Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

In just three short years, Amazon DynamoDB has emerged as the backbone for many powerful Internet applications such as AdRoll , Druva , DeviceScape , and Battlecamp. Using streams, you can apply the changes to a full-text search data store such as Elasticsearch, push incremental backups to Amazon S3, or maintain an up-to-date read cache.

Database 167
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Accelerating Data: Faster and More Scalable ElastiCache for Redis

All Things Distributed

Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency. While caching continues to be a dominant use of ElastiCache for Redis, we see customers increasingly use it as an in-memory NoSQL database.

article thumbnail

A one size fits all database doesn't fit anyone

All Things Distributed

We are increasingly seeing customers wanting to build Internet-scale applications that require diverse data models. Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. Purpose-built databases.

Database 167