Best Enterprise Search Software for Mac of 2024

Omnis Studio is a cross-platform application development environment. Omnis Studio allows programmers and application developers to create application code once and then deploy their applications on almost any platform or device. This includes desktop PCs on Windows, macOS, and tablets as well as phones on iOS, Android, and Windows. Omnis JavaScript Client supports a wide range of client devices. This unique JavaScript-based technology renders the application UI and web pages in a standard web browser for desktops and mobile devices. Omnis Studio allows data and service integration via REST-based Web Services. The Omnis Studio API lets you extend the functionality of Omnis Studio with its powerful and flexible external components API. Omnis is headquartered at the UK, and has subsidiaries in USA and France. There are also distributors for many other parts.

Our commerce-specific digital experience platform, enables brands to deliver incredible, revenue-driving commerce experiences through three key pillars. 1. Engagement: World-class CDP capabilities seamlessly integrated with omnichannel marketing automation delivers experiences so personalized, they feel like magic. 2. Discovery: Product and content search, merchandising, SEO, and recommendations in one place, backed by an AI engine built with more than a decade of data. 3. Content: A headless CMS with the APIs and flexibility to power any front end while retaining powerful personalization and authoring capabilities. We want to help you to make full use of our tools so that you're set up for winning from day zero. We Care About Your Success - Creating cutting edge 1:1 digital experiences is complex. You now have the right tools; the next step is to ensure your organization is aligned to get full use of them. Bloomreach’s Professional Services team brings you advice from our product experts and best practices from across our customers to ensure you get the most out of your investment.

Onna, a real time search solution, allows you to connect and search across a growing number of cloud platforms. Onna helps users access eDiscovery and find high-value items across all legal departments. Onna allows users to report, collaborate, manage compliance, and share documents. Onna integrates well with other data sources such as DropBox, Confluence, and Gmail.

We simplify complex enterprise searches. Data isn't only growing. Data is becoming more connected, which makes data-driven decisions more complex than ever. Open source technologies are used to build intelligent and intuitive insight engines. Our enterprise search products deliver the right data at the right time to the right person. An annual subscription will help you avoid vendor lock-in. Our upfront, transparent pricing allows you to plan ahead and avoid surprises, even when you are in the cloud. Our website doesn't contain the phrase "Contact Us For Pricing". Search is as easy to use for you as it is for customers. Visitors are increasingly using search to navigate websites. If they don't find what their looking for, they will leave. SearchBlox Site Search offers a fast, accurate search and a sophisticated user experience that increases conversions.

DragonGlass is a highly scalable Platform as a Service infrastructure. It stores and processes (unmarshalling indexing, signature verification etc) data from the Hedera Hashgraph Platform at a TPS comparable to the Mainnet. The platform allows end users to search Google-like for accounts, transactions, smart contracts files, and... almost all other information produced on the Mainnet. The platform supports a wide variety of REST-based API's for developers to access all data. DragonGlass also offers a dApp Marketplace, where developers can list their product and allow users to view all details about the dApp, such as balance history and payment receipts.

This software will allow you to search, organize, and share all your files on your desktop as well as across multiple cloud drives. Your computer has valuable data and it is growing quickly. Although you may have many files on cloud drives, the majority of your documents and photos are still on your computer. It can be difficult to locate all files and you could waste precious time searching for the right file. QuikFynd instantly finds files on your computer, connected network drives and removable storage. It can also be used to search across cloud drives. QuikFynd is beautiful and simple to use. It can search for keywords in documents or objects in images. It even tags your documents automatically with machine learning.

INDICA Enterprise Search allows companies to quickly search through their systems and find the data they need in a matter of seconds. INDICA's patented data platform indexes both structured and unstructured data, ranking the results according to relevance. This is in contrast to other Enterprise Search solutions. This allows you to quickly find the data you need in just a few clicks. Enterprise Search is built on our Basic Data Platform, Enterprise Search Module, and can be customized to meet your needs.

Sphinx is an open-source full text search engine. It was designed with simplicity, performance, relevance (aka search quality), as well as integration simplicity in mind. It is written in C++ and can be used on Linux (RedHat Ubuntu, etc), Windows and MacOS, Solaris and FreeBSD. Sphinx allows you to either batch index and store search data in an SQL database, NoSQL or just files, or index and search data as needed. It works almost exactly the same way with a database server. Sphinx offers a variety of text processing options that allow you to fine tune it for your specific application requirements. You can also adjust the quality of search results with a number relevance functions. SphinxAPI allows you to search in just 3 lines of code. SphinxQL allows you to query your results using SQL. Sphinx indexes between 10-15 MB and 60 MB per second on a single CPU core.

Redis Enterprise offers powerful real-time querying, indexing, and full text search engines. It is available both on-premises as well as managed in the cloud. It is optimized for performance by using in-memory data structure implemented in C. Scale up and partition indexes across multiple shards or nodes for increased speed and memory capacity. You can continue operations in any scenario thanks to Active-Active failover and five-nines availability. Redis Enterprise real time search allows you create primary and secondary indexes quickly on JSON and Hash datasets. This is done using an incremental indexing method for quick index creation and deletion. The indexes allow you to query data at high speed, perform complex aggregates, filter by properties and numeric ranges, as well as filter by geographical distance.