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Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
5,834
Unternehmen
Wir haben Daten zu 5,834 Unternehmen, die Solr verwenden. Unsere Solr Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
---|---|---|---|---|
Veeva Systems | Vereinigte Staaten | Software Development | 8.4K | $2.2B |
![]() Apple | Vereinigte Staaten | Computer Hardware Manufacturing | 293K | |
Publicis Sapient | Vereinigte Staaten | Business Consulting And Services | 25K | $2.7B |
opentext | Kanada | It Services And It Consulting | 19K | $3.9B |
EY | Vereinigtes Königreich | Professional Services | 357K | $45B |
Cymertek | Vereinigte Staaten | It Services And It Consulting | 19 | $2.2M |
HII | Vereinigte Staaten | Defense And Space Manufacturing | 40K | $11B |
Enlighten | Vereinigte Staaten | Software Development | 182 | $13M |
Getty Images | Vereinigte Staaten | Photography | 6.1K | $900M |
Steampunk | Vereinigte Staaten | It Services And It Consulting | 390 | $2.2M |
SAIC | Vereinigte Staaten | It Services And It Consulting | 36K | $7.7B |
BlackRock | Vereinigte Staaten | Financial Services | 26K | $18B |
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Nutzungsstatistiken für Technologie und Marktanteil
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Solr wird in 67 Ländern verwendet
Es gibt 12 Alternativen zu Solr
Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
Wir aktualisieren unsere Daten täglich, um sicherzustellen, dass Sie auf die aktuellsten verfügbaren Informationen zugreifen. Dieser häufige Aktualisierungsprozess garantiert, dass unsere Einsichten und Erkenntnisse die neuesten Entwicklungen und Trends der Branche widerspiegeln.
Solr, an open-source search platform, is a highly popular technology in the realm of Search Tools. It is renowned for its capability to facilitate highly scalable and fault-tolerant search applications. Developed by Apache Software Foundation, Solr is based on Java and utilizes the Lucene search library. It provides features such as full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, and rich document handling.
Solr falls under the category of Search Tools, which are essential for organizations aiming to enhance their search functionalities across various data sources. Whether it's a website, an e-commerce platform, or a database, Solr plays a pivotal role in enabling efficient and accurate search operations. By utilizing Solr, companies can improve user experience, increase customer engagement, and optimize information retrieval processes.
Established in 2004 by Yonik Seeley as an independent project under the Apache Software Foundation, Solr originated from the need to create a fast, scalable, and reliable search platform. Over the years, it has evolved into one of the leading solutions in the search technology landscape. Its continuous development and community support have contributed to its widespread adoption by businesses across industries.
Currently, Solr holds a significant market share within the Search Tools category. Its robust features, compatibility with various data sources, and flexibility have made it a preferred choice for organizations seeking advanced search capabilities. With the increasing reliance on data-driven insights and the growing demand for efficient search solutions, Solr is poised to experience further growth in the foreseeable future. As more companies prioritize enhancing their search functionalities, Solr is expected to continue expanding its market presence and solidifying its position as a leading search technology.
Solr is a powerful search tool that companies utilize to enhance their data retrieval and analytics capabilities. With its robust features and efficient search algorithms, Solr offers numerous benefits that set it apart from other similar technologies in the market.
Solr provides advanced search functionalities, including full-text search, faceted search, and hit highlighting. Its scalability and flexibility allow companies to handle vast amounts of data and deliver accurate search results in real-time. Compared to traditional search engines, Solr's high performance and customizable search options make it the preferred choice for companies looking to optimize their search processes.
Solr seamlessly integrates with other technologies and platforms, such as Apache Hadoop and Apache Spark, enabling companies to leverage existing infrastructure and tools. Its compatibility with various programming languages and frameworks simplifies the integration process, resulting in quicker deployment and reduced development costs.
Solr is highly scalable and reliable, making it suitable for handling large datasets and supporting high traffic websites and applications. Its distributed architecture ensures seamless performance even under heavy workloads, providing companies with the assurance of consistent search functionality regardless of the data volume.
Solr's faceted search capabilities allow companies to offer users a personalized and intuitive search experience. By enabling users to filter search results based on specific criteria, such as price ranges or product categories, Solr enhances user engagement and conversion rates. Compared to standard search tools, Solr's faceted navigation feature empowers companies to deliver targeted search results, driving customer satisfaction and loyalty.
In the world of enterprise search, Solr has become a popular choice for companies looking to power their search capabilities with speed and scalability. Several renowned companies across various industries rely on Solr to enhance their search functionality and deliver better user experiences. Let's delve into a few notable case studies showcasing how Solr has made a significant impact:
Reddit: Reddit, the popular social news aggregation and discussion website, leverages Solr to streamline its search functionality. By implementing Solr, Reddit has been able to provide its users with fast and accurate search results across a vast array of content. The platform started using Solr in 2015, and since then, it has continuously improved its search capabilities, making it easier for users to discover relevant content within the platform.
Booking.com: Booking.com, a leading online travel agency, relies on Solr to power its search engine and enable users to find the best accommodation options quickly and efficiently. With Solr, Booking.com has enhanced its search accuracy and speed, allowing users to search through millions of property listings with ease. The company integrated Solr into its platform in 2013, transforming the way users interact with its search functionality.
Zappos: Zappos, a prominent online retailer specializing in footwear and apparel, harnesses the power of Solr to enhance its product search capabilities. By utilizing Solr, Zappos enables customers to search for products based on various criteria such as size, color, brand, and style, delivering a personalized shopping experience. The company adopted Solr in 2012, revolutionizing its search functionality and driving customer engagement.
These case studies exemplify how Solr has become an integral part of the tech stack for companies in the Search Tools category, enabling them to optimize their search capabilities and meet the evolving needs of users. By leveraging Solr's robust features and flexibility, companies like Reddit, Booking.com, and Zappos have successfully enhanced their search functionalities and delivered superior user experiences.
Sie können eine aktuelle Liste von Unternehmen, die Solr verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 5,834 Unternehmen, die Solr verwenden.
Solr wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "Software Development", "Computer Hardware Manufacturing", "Business Consulting And Services", "It Services And It Consulting", "Professional Services", "It Services And It Consulting", "Defense And Space Manufacturing", "Software Development", "Photography", "It Services And It Consulting", verwendet. Für eine umfassende Liste aller Branchen, die Solr nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die Solr verwenden, umfassen Veeva Systems, Apple, Publicis Sapient, opentext, EY, Cymertek, HII, Enlighten, Getty Images, Steampunk und viele mehr. Sie können eine vollständige Liste von 5,834 Unternehmen, die Solr nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist Solr am beliebtesten in Vereinigte Staaten (2,210 companies), Vereinigtes Königreich (275 companies), Deutschland (256 companies), Frankreich (228 companies), Indien (228 companies), Kanada (145 companies), Spanien (133 companies), Niederlande (65 companies), Australien (63 companies), Brasilien (52 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die Solr verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.