Apache Solr is an open-source enterprise search server.
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Octoparse
Score 7.0 out of 10
Small Businesses (1-50 employees)
Octoparse is a no-code web scraping tool offering hundreds of online scraper templates designed for various scraping scenarios, such as e-commerce, social media, lead generation, Google search, financial data, real estate, and job search.
Users can collect desired data points through point-and-click actions. Features like API integration, cloud storage, cloud execution, and task scheduling provide a more flexible scraping experience. For more complex data scraping needs,…
Solr spins up nicely and works effectively for small enterprise environments providing helpful mechanisms for fuzzy searches and facetted searching. For larger enterprises with complex business solutions you'll find the need to hire an expert Solr engineer to optimize the powerful platform to your needs. Internationalization is tricky with Solr and many hosting solutions may limit you to a latin character set.
Octoparse is utilized to scratch item information from sites and programming projects that don't give XML or API and import them in web based businessAdditionally, it has solid capabilities to extract data from various types of sites, which is truly splendid. However it is not suitable to be used only in the free version as the features and usecases are limited.The user woould not face issues in implementation in the premium version. Implemetion specificallly in web-crawling does not require octoparse completely,but scrapping data, yes.
Easy to get started with Apache Solr. Whether it is tackling a setup issue or trying to learn some of the more advanced features, there are plenty of resources to help you out and get you going.
Performance. Apache Solr allows for a lot of custom tuning (if needed) and provides great out of the box performance for searching on large data sets.
Maintenance. After setting up Solr in a production environment there are plenty of tools provided to help you maintain and update your application. Apache Solr comes with great fault tolerance built in and has proven to be very reliable.
These examples are due to the way we use Apache Solr. I think we have had the same problems with other NoSQL databases (but perhaps not the same solution). High data volumes of data and a lot of users were the causes.
We have lot of classifications and lot of data for each classification. This gave us several problems:
First: We couldn't keep all our data in Solr. Then we have all data in our MySQL DB and searching data in Solr. So we need to be sure to update and match the 2 databases in the same time.
Second: We needed several load balanced Solr databases.
Third: We needed to update all the databases and keep old data status.
If I don't speak about problems due to our lack of experience, the main Solr problem came from frequency of updates vs validation of several database. We encountered several locks due to this (our ops team didn't want to use real clustering, so all DB weren't updated). Problem messages were not always clear and we several days to understand the problems.
It takes some time to deploy and currectly maintein it. And also, to learn how to use and integrate in the enviroment as well. Once you get theses steps done, it usability is very simple, and almost of the time it don't require no further attention on it. Even for maintence, if you deploy it on a cluster mode, it is very reliable and easy to take one host down.
We tried to use both Elasticsearch and Swiftype with Drupal 8 but there are currently no good modules that integrate Drupal with those solutions. So Solr was really the only option for a Drupal 8 web site. It's not as easy to learn or use as Swiftype, but in the end I think it will be a little less expensive and offer more customization and flexibility.
Other similar products like webautomation.io and webscarpper.io were tried and implemented along with Octoparse. Thier trial versions have much more limited features. The complexity while using Octoparse is relatively low and much more effecient and powerful to implement as compared to other softwares. Also usecases are quick to learn and implement.