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Decisions about Amazon DynamoDB, Amazon ElastiCache, and Amazon S3
Gabriel Pa
CEO at NaoLogic Inc · | 2 upvotes · 317.9K views
We offer our customer HIPAA compliant storage. After analyzing the market, we decided to go with Google Storage. The Nodejs API is ok, still not ES6 and can be very confusing to use. For each new customer, we created a different bucket so they can have individual data and not have to worry about data loss. After 1000+ customers we started seeing many problems with the creation of new buckets, with saving or retrieving a new file. Many false positive: the Promise returned ok, but in reality, it failed.
That's why we switched to S3 that just works.
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Learn MorePros of Amazon DynamoDB
Pros of Amazon ElastiCache
Pros of Amazon S3
Pros of Amazon DynamoDB
- Predictable performance and cost62
- Scalable56
- Native JSON Support35
- AWS Free Tier21
- Fast7
- No sql3
- To store data3
- Serverless2
- No Stored procedures is GOOD2
- ORM with DynamoDBMapper1
- Elastic Scalability using on-demand mode1
- Elastic Scalability using autoscaling1
- DynamoDB Stream1
Pros of Amazon ElastiCache
- Redis58
- High-performance32
- Backed by amazon26
- Memcached21
- Elastic14
Pros of Amazon S3
- Reliable590
- Scalable492
- Cheap456
- Simple & easy329
- Many sdks83
- Logical30
- Easy Setup13
- REST API11
- 1000+ POPs11
- Secure6
- Easy4
- Plug and play4
- Web UI for uploading files3
- Faster on response2
- Flexible2
- GDPR ready2
- Easy to use1
- Plug-gable1
- Easy integration with CloudFront1
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Cons of Amazon DynamoDB
Cons of Amazon ElastiCache
Cons of Amazon S3
Cons of Amazon DynamoDB
- Only sequential access for paginate data4
- Scaling1
- Document Limit Size1
Cons of Amazon ElastiCache
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Cons of Amazon S3
- Permissions take some time to get right7
- Requires a credit card6
- Takes time/work to organize buckets & folders properly6
- Complex to set up3
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What is Amazon DynamoDB?
With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.
What is Amazon ElastiCache?
ElastiCache improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. ElastiCache supports Memcached and Redis.
What is Amazon S3?
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
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What companies use Amazon DynamoDB?
What companies use Amazon ElastiCache?
What companies use Amazon S3?
What companies use Amazon DynamoDB?
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What tools integrate with Amazon DynamoDB?
What tools integrate with Amazon ElastiCache?
What tools integrate with Amazon S3?
What tools integrate with Amazon DynamoDB?
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What are some alternatives to Amazon DynamoDB, Amazon ElastiCache, and Amazon S3?
Google Cloud Datastore
Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Amazon SimpleDB
Developers simply store and query data items via web services requests and Amazon SimpleDB does the rest. Behind the scenes, Amazon SimpleDB creates and manages multiple geographically distributed replicas of your data automatically to enable high availability and data durability. Amazon SimpleDB provides a simple web services interface to create and store multiple data sets, query your data easily, and return the results. Your data is automatically indexed, making it easy to quickly find the information that you need. There is no need to pre-define a schema or change a schema if new data is added later. And scale-out is as simple as creating new domains, rather than building out new servers.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
Amazon Redshift
It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.