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ease
features
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support

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Description

IndexedDB serves as a fundamental API designed for the client-side storage of large volumes of structured data, including files and blobs. It utilizes indexing to facilitate efficient searches, making it suitable for extensive datasets. While traditional web storage can handle smaller data quantities well, it falls short when it comes to managing larger structured datasets, a gap that IndexedDB effectively fills. Functioning as a transactional database system akin to SQL-based Relational Database Management Systems (RDBMS), IndexedDB diverges from them by operating as a JavaScript-based object-oriented database. This distinction allows it to store and retrieve objects indexed by keys, with support for any objects that comply with the structured clone algorithm. Users must outline the database schema, establish a connection, and execute retrieval and updating of data through a series of transactions. Additionally, like other web storage solutions, IndexedDB adheres to the same-origin policy, ensuring data security and integrity across different domains. With its versatility and capability, IndexedDB has become an essential tool for developers dealing with complex data needs on the web.

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

Screenshots View All

Screenshots View All

Integrations

Crowdin
Dash
Dexie
JavaScript
Knoku
Mermaid Chart
MySQL
PushFeedback
Read the Docs

Integrations

Crowdin
Dash
Dexie
JavaScript
Knoku
Mermaid Chart
MySQL
PushFeedback
Read the Docs

Pricing Details

Free
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

Mozilla

Founded

2005

Country

United States

Website

developer.mozilla.org/en-US/docs/Web/API/IndexedDB_API

Vendor Details

Company Name

Sphinx

Founded

2007

Country

United States

Website

sphinxsearch.com

Product Features

Product Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

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Alternatives

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