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Automate contact and company data extraction
Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.
Generate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
SAFMQ: Store and Forward Message Queue, message oriented middleware. Uses include Assured Async Messaging, SOA, Delayed/Batch, and Cluster/Grid Computing. The SAFMQ server provides cross platform communication among C++, PHP, Java, and .NET clients.
SOA infrastracture initially developed by NICT Language Grid Project
Service Grid is an infrastructure for accumulating and sharing Web services. Resources with complicated intellectual property issues are wrapped as Web services and shared on the Service Grid.
If you release your software by using the software of this project, please include the following description in the documents or on the website.
* This software uses the [SOFTWARE] by the Language Grid project (http://langrid.org/).
[SOFTWARE] is one of:
* Service Grid Server Software...
Cube Platform is a decentralized grid computing system that uses P2P Pastry protocol for communication between nodes. It's a big data storage written in Java.
IoguiGrid is a simple component to be used as an AJAX data grid web control wich displays database information in a dynamically constructed HTML table. This project is currently discontinued. Go to jqGrid and see if it fit your needs.
Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.