KindProxy offers rotating residential and static ISP proxies across 198+ countries and regions. Featuring HTTP(S) and SOCKS5 support, sticky sessions, and city and ASN targeting, it's ideal for web scraping, SEO monitoring, market research, ad verifi
sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Which is more popular?
Based on our record, ParseHub
seems to be more popular. It has been mentioned
3 times
since March 2021.
social mentions
0 vs 3
Data Dashboard popularity
100% vs 0%
alternatives listed
70 vs 224
Base details
Website, pricing, platforms and company facts side by side.
Cross-Platform Support SQL Server 2017 offers cross-platform support, enabling it to run on Windows, Linux, and Docker containers, providing flexibility and integration into various environments.
Graph Database Capabilities Introduces graph database capabilities, allowing the modeling of complex data relationships easily and efficiently, expanding its use cases.
Advanced Analytics Integrates with Microsoft R and Python services, facilitating advanced analytics and machine learning directly within the database, which helps organizations to perform sophisticated data analysis.
Adaptive Query Processing Includes adaptive query processing features to optimize query performance automatically, improving application speed and efficiency.
Enhanced Security SQL Server 2017 continues to enhance security with features like Always Encrypted, Dynamic Data Masking, and Row-Level Security to protect sensitive data.
Possible disadvantages
Cost Licensing and support costs for SQL Server can be relatively high, particularly for enterprise editions, which may not be cost-effective for smaller organizations.
Complexity SQL Server 2017 includes a vast array of features and configurations that can introduce complexity, requiring substantial expertise to manage and optimize.
Resource Intensive Requires significant system resources for optimal performance, which may necessitate additional investment in hardware to operate efficiently at scale.
Limited NoSQL Functionality While SQL Server 2017 introduces some NoSQL features through its support for JSON and graph databases, it still lags behind dedicated NoSQL databases in terms of flexibility and scalability for unstructured data.
Version-Specific Features Some advanced features are only available in the latest versions or specific editions, which may necessitate upgrades or specific licensing to access the full capabilities, leading to additional expenses.
User-friendly Interface ParseHub offers a point-and-click interface that makes it easy for users to extract data from websites without needing any coding skills.
Advanced Features The tool supports complex data extraction tasks, including handling AJAX, JavaScript, infinite scroll, forms, and CAPTCHA.
Cross-platform Compatibility ParseHub is available as a web app and a desktop application, making it accessible on multiple operating systems.
API Integration ParseHub provides an API that allows for easy integration with other applications, enabling automated data extraction workflows.
Schedule and Automate Users can schedule their data extraction tasks to run at specific intervals, which is useful for keeping datasets up-to-date.
Cloud Storage Extracted data is stored in the cloud, allowing easy access and management of large datasets without consuming local storage resources.
Free Tier ParseHub offers a free tier that allows users to perform a limited number of data extraction tasks, suitable for small projects or initial testing.
Possible disadvantages
Learning Curve for Complex Tasks While the basic interface is user-friendly, advanced data extraction tasks may require a steep learning curve to master.
Monthly Limits The free tier and lower-tier plans have limits on the number of tasks and the amount of data that can be extracted per month, which could constrain heavy users.
Pricing Higher-tier plans can become expensive, especially for businesses that require extensive data extraction capabilities.
Performance Issues Users have reported occasional performance issues and bugs when dealing with very large or complex websites, which can affect the reliability of the data extraction processes.
Limited Export Formats While ParseHub supports common formats like CSV, JSON, and Excel, it lacks support for some specialized or less common file formats.
Customer Support Some users have reported that customer support can be slow to respond to issues, which could be problematic for time-sensitive projects.
Privacy Concerns Since the data extraction occurs on ParseHub's servers, there could be privacy concerns related to the handling of sensitive or proprietary data.
Analysis
An editorial look at what each product does well and who it suits.
SQL Server 2017ParseHub
No analysis of SQL Server 2017 yet.
Overall verdict
ParseHub is generally a reliable and effective tool for web scraping purposes. Its ease of use and powerful features make it a strong choice for both beginners and experienced data analysts. However, users should be aware of potential limitations regarding speed and handling extremely large-scale data scraping tasks.
Why this product is good
ParseHub is considered a good tool due to its versatility in web scraping without requiring extensive programming knowledge. It provides a user-friendly interface that allows users to automate data extraction tasks from websites. Additionally, it supports complex website structures and can handle dynamic content and JavaScript-driven sites.
Recommended for
ParseHub is recommended for business analysts, data scientists, researchers, and anyone who needs to extract data from websites regularly but does not wish to dive deeply into coding. It's also a good option for individuals or small businesses looking to gather market research, product pricing information, or other competitive intelligence from web sources.
Parsehub is a fantastic tool for people who want to extract data from websites without coding. It is used widely by data analysts, journalists, data scientists, and many fields. Parse Hub is easier to use; you can...
Social recommendations and mentions
Recommendations tracked on public social media and blogs since March 2021.
SQL Server 20170 mentionsParseHub3 mentions
Tracking SQL Server 2017 since Mar 2021.
Home Depot price data using IMPORTXML?
I've heard some folks have success with "parsehub.com", though I once tried it for a project and found it a bit intimidating...
Source:
almost 5 years ago
Parsehub.com — Extract data from dynamic sites, turn dynamic websites into APIs, 5 projects free.
- Source: dev.to
/
over 5 years ago
Turn any website into an API with no code
Parsehub is a powerful web scraping GUI tool for efficient fetching and manipulating data from any webpage. It helps you create an API output for a given website. You can even sanitize your content by using regex or replace function....
- Source: dev.to
/
over 5 years ago
Alternatives to SQL Server 2017 and ParseHub
When comparing SQL Server 2017 and ParseHub, you can also consider the following products.
Deliver Reports to Any Application. Add reports to any business application. View reports on mobile devices and in web, desktop and cloud apps. Export reports to any format.
Compare Telerik Reporting to SQL Server 2017 or ParseHub:
Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.
Save up to 25% when you buy or upgrade. Discover SAP Crystal Reports to take control of complex data and monitor business performance to achieve results.
Compare Crystal Reports to SQL Server 2017 or ParseHub:
JasperReports
Telerik Reporting
Crystal Reports
Sisense
i-net Clear Reports
SharpDevelop Reports
Microsoft Power BI
Apify
import.io
Octoparse
Data Miner
Scrapy
Kimono
ScrapeHero
