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Description
Cribl Search introduces an innovative search-in-place technology that allows users to effortlessly explore, discover, and analyze data that was once deemed inaccessible, directly from its source and across various cloud environments, including data secured behind APIs. Users can easily navigate through their Cribl Lake or examine data stored in prominent object storage solutions such as AWS S3, Amazon Security Lake, Azure Blob, and Google Cloud Storage, while also enriching their insights by querying multiple live API endpoints from a variety of SaaS providers. The core advantage of Cribl Search is its strategic capability to forward only the essential data to analytical systems, thus minimizing the expenses associated with storage. With built-in compatibility for platforms like Amazon Security Lake, AWS S3, Azure Blob, and Google Cloud Storage, Cribl Search offers a unique opportunity to analyze all data directly where it resides. Furthermore, it empowers users to conduct searches and analyses on data regardless of its location, whether it be debug logs at the edge or data archived in cold storage, thereby enhancing their data-driven decision-making. This versatility in data access significantly streamlines the process of gaining insights from diverse data sources.
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
AWS Security Hub
Amazon S3
Azure Blob Storage
Cribl AppScope
Cribl Edge
Cribl Lake
Cribl Stream
Crowdin
Dash
Google Cloud Storage
Integrations
AWS Security Hub
Amazon S3
Azure Blob Storage
Cribl AppScope
Cribl Edge
Cribl Lake
Cribl Stream
Crowdin
Dash
Google Cloud Storage
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
Cribl
Founded
2018
Country
United States
Website
cribl.io/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