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Average Ratings 0 Ratings
Description
Cloud Search offers the power of Google Search tailored for your business, enabling a comprehensive enterprise search experience. It can be utilized in conjunction with G Suite or as an independent tool to link various third-party applications and data sources, allowing employees to efficiently and securely locate information throughout the organization. The process of searching through corporate data is simplified with Cloud Search. By leveraging machine learning, it provides immediate query suggestions and highlights the most pertinent results from over 100 content platforms in more than 100 languages. Essentially, Cloud Search mirrors Google's capabilities for the web, but focuses on enhancing enterprise search for organizations. Additionally, it provides enterprise search solutions through sturdy SDKs and user-friendly APIs, making it easy to scale and index extensive data from diverse origins. With more than 100 connectors available, you can seamlessly integrate and index content from a wide array of enterprise sources, ensuring that your business's information is always at your fingertips. This innovative search solution empowers employees to enhance their productivity and decision-making processes.
Description
Sphinx is a high-performance open-source full-text search engine specifically designed to prioritize efficiency, search quality, and ease of integration. Built using C++, it operates seamlessly across various platforms including Linux (such as RedHat and Ubuntu), Windows, MacOS, Solaris, FreeBSD, and several others. Sphinx supports both batch indexing and on-the-fly searching of data from SQL databases, NoSQL systems, or even plain files, allowing for a flexible approach similar to querying a traditional database server. The platform offers numerous text processing capabilities that facilitate the customization of its functions to meet the distinct needs of different applications, while multiple relevance tuning options help enhance the quality of search results. Implementing searches through SphinxAPI requires only three lines of code, and using SphinxQL is even more straightforward, enabling users to write search queries in familiar SQL syntax. Remarkably, Sphinx can index between 10 to 15 MB of text in a second for each CPU core, translating to over 60 MB per second on a dedicated indexing server. With its robust features and efficient performance, Sphinx stands out as an excellent choice for developers seeking a search solution tailored to their specific requirements.
API Access
Has API
API Access
Has API
Integrations
MySQL
Box
Caramel
Confluence
DataSet
GenFuse AI
Jira
JustDone
LowFruits
Lyftrondata
Integrations
MySQL
Box
Caramel
Confluence
DataSet
GenFuse AI
Jira
JustDone
LowFruits
Lyftrondata
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
Founded
1998
Country
United States
Website
cloud.google.com/products/search/
Vendor Details
Company Name
Sphinx
Founded
2007
Country
United States
Website
sphinxsearch.com
Product Features
Enterprise Search
AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery
Product Features
Enterprise Search
AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery