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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.
Boest is an application for stress testing an SAP BusinessObjects Enterprise deployment. It launches a series of tests in parallel from which we can measure performance of the BOE system
SPIZD stands for Stress Probing Invasive Zap Destructor; it's a command-line stress test tool used to determine how many simultaneous (concurrent) connections servers can handle. Protocols: http, pop3, pop3s, imap, imaps, smtp, smtps, ssh, radius.
A Portable Thin Client & Server Pair for XA / 2PC Testing
A portable testing tool to validate the configuration of XA and two-phase commit for Java EE 6 Containers. The tool permits the stress-testing, performance characterization and correct transaction semantics of distributed transactions across Three XA resource managers by Exception Injection. The thin-client can be run from the command-line or inside the IDE. The server side component includes EJB packaging and some simple Web servlet support for retrieving diagnostic and performance data...
JDistUnit is a test framework for distributed unit testing with Java (think "JUnit on multiple computers at once"), useful for load and stress testing. Features hot deployment of test cases to the remote test servers.
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.