Dtsearch
dtSearch is an enterprise and developer text retrieval engine for searching terabytes of text across online, desktop, server, web, and cloud data. It features its own query language along with natural language and boolean searching.
text-search
indexing
enterprise-search
dtSearch: Enterprise Text Retrieval Engine
An enterprise and developer text retrieval engine for terabytes of text across online, desktop, server, web, and cloud data, featuring its own query language and natural language searching.
What is Dtsearch?
dtSearch is a powerful text retrieval engine designed for searching large volumes of text data. Developed by DT Software since 1991, dtSearch can index documents across online and offline data stores, including file systems, emails, databases, web sites and more.
Some key features of dtSearch include:
- Indexes and searches terabytes of text across a variety of data sources
- Supports 40+ search options including boolean, fuzzy, regex, proximity, numeric ranges etc.
- Indexing filters for over 25 formats including MS Office, PDF, HTML, Zip, RAR etc.
- APIs for .NET, Java, C++, Perl and more to integrate search into applications
- Scalable architecture using search clusters to distribute large indexing and search workloads
- Runs on Windows, Linux and cloud platforms like Azure for on premises or cloud search deployments
dtSearch offers developer libraries, on-premise and cloud-based solutions to meet different text search needs. With advanced search features and scalable architecture, it's used by developers, IT teams and enterprises to enable fast text search within their data.
Dtsearch Features
Features
- Fast document search and retrieval
- Supports wide range of file formats including PDF, HTML, DOC, PPT, XLS, emails, etc
- Indexing and search terabytes of text
- Advanced search options like boolean, regex, proximity, wildcards, etc
- Highlight search hits
- APIs for integration into applications
- Distributed searching across servers
Pricing
- One-time Purchase
- Subscription-Based
Pros
Very fast indexing and search speed
Powerful query language
Scales to large data sets
Integrates into many programming languages and platforms
Flexible licensing options
Cons
Steep learning curve for query language
Not as user friendly as simpler search tools
Can require significant resources for large scale deployments
Official Links
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