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dtSearch Adds Linux ARM64 Build and Boosts JSON/CSV Support in 2025.02 Release
dtSearch has released version 2025.02 of its enterprise and developer product line, expanding platform coverage and strengthening support for modern data formats used in large-scale applications. The update targets organizations and developers who need to instantly search terabytes of text across mixed on-premises and cloud environments.
The new release adds an ARM64 build to the existing x64 support for the dtSearch Engine for Linux, reflecting growing interest in ARM64-based infrastructure. dtSearch has also shipped new versions of the dtSearch Engine for Windows and the dtSearch Engine for macOS, with both x64 and ARM64 builds now available across the board.
Alongside the platform expansion, dtSearch is enhancing how its products work with structured text data. Version 2025.02 improves JSON and CSV handling through the company's proprietary document filters, which are used throughout the dtSearch product line and can also be accessed separately by dtSearch Engine SDK developers. The same filters cover a wide range of additional formats, including Microsoft Office files, OpenOffice files, PDFs, compression formats, web-ready data, emails with nested attachments, image, sound and video metadata, and recursively nested files. After a search, the filters can display retrieved items with hit highlighting.
The dtSearch line is built around a terabyte-scale indexer designed to span multiple folders, emails with nested attachments, online data and other databases in a single index. The products can create and search any number of terabyte indexes, with a 64-bit multithreaded indexing option aimed at significantly faster index build times. Indexed search is typically intended to be instantaneous even when running many concurrent queries over mixed online and offline data, and the products do not impose built-in limits on the number of search threads. dtSearch says concurrent, multithreaded searching can continue while indexes automatically update to reflect new content.
Search functionality includes more than 25 full-text and metadata options with integrated relevancy ranking across different data repositories. Unicode support extends across hundreds of international languages, including double-byte Asian character handling and right-to-left text such as Arabic and Hebrew. Forensics-oriented features include identifying credit card numbers in data, as well as hash value generation and search.
For developers, the dtSearch Engine SDKs provide C++, Java and current .NET APIs for x64 and ARM64 Windows, Linux and Mac deployments. The APIs can work with data in platforms such as SharePoint, SQL and NoSQL databases, and BLOB file storage. They also support faceted search and granular data classification using multiple full-text and metadata parameters. The SDKs include the document filters both for general indexing and searching and for direct document filter access through the API, giving developers options for parsing, extraction, conversion and searching across a broad set of data types.
More information can be found in the new edition's release notes.
dtSearch positions its product line for scenarios that require instant text retrieval across very large data sets, with options to deploy entirely on premises or in cloud environments such as Azure or AWS. The company has long earned honors from our readers in the Visual Studio Magazine Reader's Choice Awards, including this year, the 31st for the user-voted program.
About the Author
David Ramel is an editor and writer at Converge 360.