The release also has a dtSearch Engine release candidate for Apple M1; Windows/Linux/macOS dtSearch Engine SDKs have cross-platform .NET 5 / .NET Core, C++ and Java APIs
dtSearch announces new versions of its enterprise and developer text retrieval product line to instantly search terabytes of online and offline data, spanning multiple folders, emails including attachments and nested attachments, online data and other databases.
Recommended ITech News: New Research From Absolute Software Reveals Increases in Device Mobility, Complexity, and Vulnerability
- The beta has a preview multithreaded indexer to greatly increase indexing speed on multicore 64-bit Windows systems.
- The beta also adds Hancom Office HWPX support to the many data types covered by dtSearch’s proprietary document filters.
- The dtSearch Engine for macOS release candidate adds support for Apple silicon M1/ARM; the dtSearch Engine developer SDKs for macOS, Linux and Windows share cross-platform .NET 5 / .NET Core, C++ and Java APIs for use in developing both “on premises” and online applications, including on Azure and AWS.
With the new updates, key features of the dtSearch product line are as follows.
Terabyte Indexer. dtSearch enterprise and developer products can index a terabyte of text encompassing multiple folders, emails with nested attachments, online data and other databases in a single index. The products can create and search any number of indexes. Index updates do not prevent continued searching. The multithreaded 64-bit indexer speed boost applies both to new index builds and to index updates. (The multithreaded indexer does not involve any change to the index format.)
Concurrent, Multithreaded Searching. Indexed search covering full-text and metadata is typically instantaneous, even in a concurrent search environment encompassing terabytes of mixed online and offline data. For online use, dtSearch products have no limits on the number of concurrent search threads. The new multithreaded indexer does not affect searching.
Document Filters and Supported Data Types. dtSearch’s proprietary document filters support Microsoft Office files, OpenOffice files, PDFs, compression formats, emails along with nested attachments, web-ready data, and more. For supported data types, the document filters further support browser display with highlighted hits. The beta also expands Hancom (a popular Korean Office application) support to cover the HWPX document format.
Recommended ITech News: Monte Carlo Raises Series C, Brings Funding to $101M to Help Companies Trust Their Data
25+ Search Options. The dtSearch product line has over 25 full-text and metadata hit-highlighted search options, with integrated relevancy ranking across multiple data repositories. Forensics-oriented options include identifying credit card numbers in data and hash value generation and search. For international languages, dtSearch products support Unicode, with support for right-to-left languages, and special Chinese/Japanese/Korean character options (covering text in the HWPX format as well as in other supported formats).
Faceted Search and Other Data Classification. The dtSearch Engine SDKs make available advanced data classification options like faceted search and granular data classification based on document full-text contents, internal document metadata, database content, or data attributes associated with documents during document indexing.
SDKs. The SDKs offer developers all of dtSearch’s general search features plus developer-focused features like faceted search and granular data classification as well as providing access to dtSearch’s document filters. The release candidate extends the SDKs cross-platform .NET 5 / .NET Core, C++ and Java APIs for Windows, Linux and macOS to encompass Apple Silicon (M1, Arm). The dtSearch Engine can operate in applications running locally or in a cloud environment like Azure or AWS.
Recommended ITech News: Roysons Taps Confluera to Secure Company’s Business Critical Infrastructure
