Top 2 Custom Search Products in ORMs

1

Apache Solr

• Scalability - Apache Solr is highly scalable, capable of handling large amounts of data and numerous queries per second. It supports distributed search and indexing, which allows for horizontal scaling by adding more nodes.
• Flexibility - Solr provides flexible schema management, allowing for dynamic field definitions and easy handling of various data types. It supports a variety of search query types and can be customized to meet specific search requirements.
• Rich Feature Set - Solr comes with a wealth of features out-of-the-box, including faceted search, result highlighting, multi-index search, and advanced filtering capabilities. It also offers robust analytics and joins support.
• Community and Documentation - Being an open-source project, Apache Solr has a strong community and comprehensive documentation, which ensures continuous improvements, updates, and extensive support resources for developers.
• Performance - Solr is built on top of Apache Lucene, which provides high performance for searching and indexing. It is optimized for speed and can handle rapid data ingestion and real-time indexing.

#Search Engine #Search API #Custom Search 19 social mentions

GhostMyData

• Data Broker Coverage - 1,500+ sites scanned and monitored
• CCPA Legal Requests - Automated deletion requests citing state privacy laws
• Removal Verification - Re-scans to confirm brokers actually deleted data
• Continuous Monitoring - Auto re-removes when brokers re-list your data
• Family Plans - Protect up to 5 household members

#Security & Privacy #Privacy #Security Featured

2

Paris Orm

• Simplicity - Paris provides a simple, intuitive Active Record implementation in PHP, making it easy for developers to interact with databases without complex setup.
• Lightweight - Being a lightweight ORM, Paris has minimal overhead and is easy to include in any project, making it suitable for small to medium-sized applications.
• Flexible - Paris offers flexibility by building on Idiorm, allowing developers to write custom queries when needed, thus providing both ease of use and control.
• Easy Integration - The ORM is easy to integrate with existing projects as it doesn't require any special frameworks, making it adaptable to various development environments.

#Search Engine #Custom Search #Custom Search Engine

HasData

• Sub-2s Median Latency - Every API request completes in about 2.1 seconds on average, even under high load.
• 99.9% uptime SLA - Stay online with highly reliable servers, automated failover, and 24/7 infrastructure monitoring.
• Up to 10M Requests/Hour - Handle massive scraping operations with infrastructure built to support 10 million hourly API calls.
• 100M+ Proxies - Access hundreds of millions rotating IPs for global coverage and unblockable data collection.
• JavaScript Rendering - Extract content from dynamic, JavaScript-heavy websites without manual browser emulation.

#Web Scraping #Web Scraping API #Data Extraction Featured