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Description
Enhance your biomedical research endeavors through the most extensive database of biomedical literature available globally. By utilizing a thorough and contemporary search process, you can access a wealth of biomedical evidence that is both comprehensive and pertinent. Streamline your systematic searches with automated query generation facilitated by user-friendly search forms. Discover critical insights into drug-disease interactions and drug-drug relationships, meticulously curated through extensive indexing efforts. The rapid evolution of biomedical research and development necessitates access to exhaustive information, allowing you to identify potential risks by evaluating all known data. Furthermore, you can monitor safety standards to ensure compliance with regulations while unveiling connections that foster innovation. Embase stands out as a distinctive medical literature database where depth of content exceeds mere quantity. With Emtree indexing of full-text resources and specialized search terminology, you are empowered to locate all significant and up-to-date information, including data that may elude other databases. Scroll down to understand the compelling reasons why regulatory bodies endorse Embase within their best practice recommendations, ensuring that your research is not only thorough but also aligned with industry standards. This commitment to excellence in biomedical literature further positions Embase as an indispensable tool for researchers and practitioners alike.
Description
Redis Enterprise offers a robust real-time indexing, querying, and full-text search engine that is accessible both on-premises and as a cloud-managed service. This real-time search capability is optimized for rapid indexing and data ingestion, utilizing high-performance in-memory data structures developed in C. You can expand and partition indexes across multiple shards and nodes, enhancing both speed and memory capacity. With an impressive five-nines availability and Active-Active failover, uninterrupted operations are ensured in any circumstance. The real-time search feature of Redis Enterprise enables users to swiftly establish primary and secondary indexes on Hash and JSON datasets through an incremental indexing method, which facilitates quick index creation and removal. These indexes empower users to perform queries at remarkable speeds, execute complex aggregations, and filter data based on properties, numeric ranges, and geographical distances, thus enhancing overall data accessibility. By leveraging these capabilities, organizations can significantly improve their data management and retrieval processes.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Elsevier
Country
Netherlands
Website
www.embase.com/landing
Vendor Details
Company Name
Redis
Country
United States
Website
redis.com/modules/redis-search/
Product Features
Product Features
Enterprise Search
AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery