Decodo
Bright Data
Oxylabs
IPRoyal
NetNut.io
Zyte
SOAX
ASocks
Google Cloud Dataproc
Amazon EMR
HortonWorks Data Platform
Google BigQuery
Google Cloud Dataflow
Snowflake
Qubole
MapR Converged Data Platform
Decodo has been a promising proxy provider since its first days in 2018. They offer a wide selection of proxies (residential, shared and private datacenter proxies) and three full-stack scraping APIs with 100% success rates and a no-code scraper. It has an easy-to-use dashboard, public API, and flexible payment methods. Being awarded for its consumer-centric approach, Decodo continues to look for ways to make public data gathering as simple and accessible to everyone as possible.
The key things Decodo offers for you:
55M+ high-quality residential IPs with an average speed of <0.5 sec.
Global coverage โ target 195+ locations, including cities and 50 US states.
Pay As You Go option - $3.5 per 1GB.
500K+ shared and dedicated datacenter IPs.
Unlimited connections and threads.
Full anonymity and security.
Smart Wallet for easy payment management.
Fantastic 24/7 support with 40s average response time.
User-friendly dashboard with a quick and easy proxy setup.
Detailed documentation and an informative blog.
A bunch of free tools with any plan subscription.
Free trial for all products..
Decodo Google Cloud DataprocResidential proxy is quite good. High success rate with their proxies even though it is quite expensive
Smartproxy, in my experience, is a solid choice for heavy-duty web scraping tasks. Been using it for bulk data mining. Their proxy pool's massive โ good for avoiding blocks and captchas. Speed's decent, uptime mostly consistent. Setup? Straightforward. But yeah, pricing's a bit on the higher side, especially for large-scale operations. Overall, Smartproxy delivers, especially for those heavy scraping needs.
Based on our record, Decodo should be more popular than Google Cloud Dataproc. It has been mentiond 6 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.
Smarproxy is another proxy provider that offers a dedicated section for scraping e-commerce platforms including Amazon. Their Amazon API is known for its speed and quality and can be used just with a simple POST request. - Source: dev.to / about 2 years ago
Smartproxy: Offers residential proxies with support for HTTP(S) and SOCKS5. It is known for its high success rate and 24/7 technical support. Smartproxy provides a balance between price and performance, making it accessible to less experienced users (Smartproxy). - Source: dev.to / over 2 years ago
For instance, imagine you are conducting market research and need to scrape data from various websites for analysis. By using a residential proxy service like anyip.io or Smart Proxy, you can ensure that your scraping activities are secure and undetectable while maintaining anonymity. Additionally, these services effortlessly handle throttling of threads and swiftly manage captchas. Source: over 2 years ago
Smartproxy Rotating residential IPs for multi-accounting. Large rotating residential proxy pool, 195+ countries, no subnets, an easy setup process. The IPs are from both desktop and mobile devices. Different tools for IG automation and affordable price plans ($75/5 GB ($15/GB). However the residential IPs are still P2P, so you have sticky sessions up to 30 min and then proxies rotate. - Source: dev.to / over 3 years ago
Smartproxy is one of the latest rotating residential proxy services to hit the market. Smartproxy offers its users immense features and functionality at affordable rates. If youโre looking for a long-term proxy service to stick to, itโs worth looking at Smartproxyโs unique offerings. - Source: dev.to / about 5 years ago
I have also a spark cluster created with google cloud dataproc. Source: over 3 years ago
Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 4 years ago
With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 4 years ago
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