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Based on our record, Amazon ElastiCache should be more popular than Presto DB. It has been mentiond 12 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Key-value databases are designed to store and retrieve data using simple key-value pairs, making them ideal for applications that require fast and simple data access. AWS offers a fully managed key-value database service called Amazon ElastiCache that supports popular key-value engines such as Redis and Memcached. - Source: dev.to / 7 months ago
Cloud-Based Caching Services: Evaluate the use of cloud-based caching services, such as Amazon ElastiCache or Redis Cloud, for managed caching solutions that offer scalability, resilience, and reduced maintenance overhead. - Source: dev.to / 8 months ago
Amazon ElastiCache (database) Amazon ElastiCache is a web service that simplifies deploying, operating and scaling an in-memory cache in the cloud. The service improves the performance of web applications by providing information retrieval from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. Https://aws.amazon.com/elasticache/. - Source: dev.to / over 1 year ago
Amazon DynamoDB Accelerator (DAX) and ElastiCache both are fully managed caching services from AWS. DAX is designed especially for DynamoDB on the other hand ElastiCache can cache anything including DynamoDB. Source: over 1 year ago
Not to sound like a purist, but when I build serverless applications, I'd prefer for all of it to be serverless. Using Amazon Elasticache breaks that paradigm. That service has pay-per-hour pricing and doesn't quite have the flexibility I'm used to when working with serverless services. - Source: dev.to / over 1 year ago
Presto is an open-source distributed SQL query engine, originally developed at Facebook, now hosted under the Linux Foundation. It connects to multiple databases or other data sources (for example, Amazon S3). We can use a Presto cluster as a single compute engine for an entire data lake. - Source: dev.to / almost 2 years ago
Fair point, but I am talking about Athena (not SQL Server), which under the hood uses a distributed query engine. It is capable to deal with huge amounts of data, if the storage is in the right shape. You can read more about the underlying technology here: https://prestodb.io/. Source: about 2 years ago
So there is Presto, which is a distributed SQL engine created by Facebook. Source: about 2 years ago
You can use Athena to run data analytics, with just standard SQL (Presto). - Source: dev.to / over 2 years ago
Presto does this, but I'm honestly uncertain how performant it is. In my experience, centralizing data is the superior approach to attempting to query multiple sources in place. Source: almost 3 years ago
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Amazon DynamoDB - Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
memcached - High-performance, distributed memory object caching system
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.