Need advice about which tool to choose?Ask the StackShare community!
Manage your open source components, licenses, and vulnerabilities
Learn MorePros of Amazon Redshift
Pros of Amazon S3
Pros of ZeroMQ
Pros of Amazon Redshift
- Data Warehousing41
- Scalable27
- SQL17
- Backed by Amazon14
- Encryption5
- Cheap and reliable1
- Isolation1
- Best Cloud DW Performance1
- Fast columnar storage1
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
Pros of ZeroMQ
- Fast23
- Lightweight20
- Transport agnostic11
- No broker required7
- Low level APIs are in C4
- Low latency4
- Open source1
- Publish-Subscribe1
Sign up to add or upvote prosMake informed product decisions
Cons of Amazon Redshift
Cons of Amazon S3
Cons of ZeroMQ
Cons of Amazon Redshift
Be the first to leave a con
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
Cons of ZeroMQ
- No message durability5
- Not a very reliable system - message delivery wise3
- M x N problem with M producers and N consumers1
Sign up to add or upvote consMake informed product decisions
- No public GitHub repository available -
- No public GitHub repository available -
What is 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.
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
What is ZeroMQ?
The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.
Need advice about which tool to choose?Ask the StackShare community!
Jobs that mention Amazon Redshift, Amazon S3, and ZeroMQ as a desired skillset
What companies use Amazon Redshift?
What companies use Amazon S3?
What companies use ZeroMQ?
What companies use ZeroMQ?
Sign up to get full access to all the companiesMake informed product decisions
What tools integrate with Amazon Redshift?
What tools integrate with Amazon S3?
What tools integrate with ZeroMQ?
What tools integrate with Amazon S3?
What tools integrate with ZeroMQ?
Sign up to get full access to all the tool integrationsMake informed product decisions
Blog Posts
What are some alternatives to Amazon Redshift, Amazon S3, and ZeroMQ?
Google BigQuery
Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure.
Load data with ease. Bulk load your data using Google Cloud Storage or stream it in.
Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.
Amazon Athena
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
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.
Amazon Redshift Spectrum
With Redshift Spectrum, you can extend the analytic power of Amazon Redshift beyond data stored on local disks in your data warehouse to query vast amounts of unstructured data in your Amazon S3 “data lake” -- without having to load or transform any data.
Hadoop
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.