Apache Solr Integrations

Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.

Sematext Cloud provides all-in-one observability solutions for modern software-based businesses. It provides key insights into both front-end and back-end performance. Sematext includes infrastructure, synthetic monitoring, transaction tracking, log management, and real user & synthetic monitoring. Sematext provides full-stack visibility for businesses by quickly and easily exposing key performance issues through a single Cloud solution or On-Premise.

Monitor your servers, containers, and applications, in high-resolution and in real-time. Netdata collects metrics per second and presents them in beautiful low-latency dashboards. It is designed to run on all of your physical and virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers, and applications. It scales nicely from just a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments, and given enough disk space it can keep your metrics for years. KEY FEATURES: Collects metrics from 800+ integrations Real-Time, Low-Latency, High-Resolution Unsupervised Anomaly Detection Powerful Visualization Out of box Alerts systemd Journal Logs Explorer Low Maintenance Open and Extensible Troubleshoot slowdowns and anomalies in your infrastructure with thousands of per-second metrics, meaningful visualisations, and insightful health alarms with zero configuration. Netdata is different. Real-Time data collection and visualization. Infinite scalability baked into its design. Flexible and extremely modular. Immediately available for troubleshooting, requiring zero prior knowledge and preparation.

SearchStax provides end-to-end search solutions to improve the search experience. SearchStax Site Search is a site search solution that enables companies to quickly, easily, and cost-effectively implement a high-quality search experience. SearchStax Manged Search is a fully managed Solr service to help minimize the need to managed search infrastructure. We have over 700 clients in 20+ countries. We were recognized by G2 as a High Performer for Enterprise Search. Site Search for Your Website Made Easy SearchStax Site Search provides advanced, modern, and personalized search for your website. • Best-in-Class search experience • Actionable search insight for executives and managers • Self-service tools that the marketing team can use to update and optimize search results without the need for developers • Quick Implementation for developers Fully-Managed Solr Service in the Cloud SearchStax Managed Search, a fully managed, hosted Solr service that automates, manages, and scales high-availability Solr infrastructures in public or private clouds. • Spend more time on value-added projects and build faster. • Scale faster with automation • Lower incident and SLA costs reduce costs

OpenDQ is a zero-cost enterprise data quality, master and governance solution. OpenDQ is modularly built and can scale to meet your enterprise data management requirements. OpenDQ provides trusted data using a machine learning- and artificial intelligence-based framework. Comprehensive Data Quality Matching Profiling Data/Address Standardization Master Data Management 360 View of Customer Data Governance Business Glossary Meta Data Management

You don't need to speak to the users in order to understand what they experienced (replays, behavior insights, etc.). End-2-end Transaction Insights (business, technology, etc). Poor user experience can be caused by issues with the interface design or technology. Germain UX identifies the root-cause and use cases of issues, down to user clicks and scenarios and technology (network requests, code, sql etc.). Ineffective business operations can be caused by a lack of training, poor organizational structure, and attrition. Germain UX identifies the main gaps and their root cause, in real-time, 24x7. Low conversion rates can be caused by a number of factors, including a crowded call center, a lack of expertise and difficulty finding information on a site. Germain UX can help identify actionable insights. A poor customer experience can be caused by a number of factors, including a product or service that is ineffective, lacked support, and difficult to find online material. Germain UX identifies these insights in real-time and 24x7.

Kapacitor serves as a dedicated data processing engine for InfluxDB 1.x and is also a core component of the InfluxDB 2.0 ecosystem. This powerful tool is capable of handling both stream and batch data, enabling real-time responses through its unique programming language, TICKscript. In the context of contemporary applications, merely having dashboards and operator alerts is insufficient; there is a growing need for automation and action-triggering capabilities. Kapacitor employs a publish-subscribe architecture for its alerting system, where alerts are published to specific topics and handlers subscribe to these topics for updates. This flexible pub/sub framework, combined with the ability to execute User Defined Functions, empowers Kapacitor to function as a pivotal control plane within various environments, executing tasks such as auto-scaling, stock replenishment, and managing IoT devices. Additionally, Kapacitor's straightforward plugin architecture allows for seamless integration with various anomaly detection engines, further enhancing its versatility and effectiveness in data processing.

Riak®, TS is an enterprise-grade NoSQL Time Series Database that is specifically designed for IoT data and Time Series data. It can ingest, transform, store, and analyze massive amounts of time series information. Riak TS is designed to be faster than Cassandra. Riak TS masterless architecture can read and write data regardless of network partitions or hardware failures. Data is evenly distributed throughout the Riak ring. By default, there are three copies of your data. This ensures that at least one copy is available for reading operations. Riak TS is a distributed software system that does not have a central coordinator. It is simple to set up and use. It is easy to add or remove nodes from a cluster thanks to the masterless architecture. Riak TS's masterless architecture makes it easy for you to add or remove nodes from your cluster. Adding nodes made of commodity hardware to your cluster can help you achieve predictable and almost linear scale.

Develop robust, production-ready Node.js applications in just weeks instead of months. Sails stands out as the leading MVC framework for Node.js, crafted to mirror the well-known MVC structure found in frameworks like Ruby on Rails while addressing the needs of contemporary applications, including data-driven APIs and scalable service-oriented architecture. Utilizing Sails allows for the easy creation of tailored, enterprise-level Node.js applications. By leveraging Sails, your application is entirely composed in JavaScript, the same language your team is already adept at using within the browser. The framework includes a powerful Object-Relational Mapping (ORM) tool called Waterline, which offers a straightforward data access layer that functions seamlessly across various databases. Sails also provides built-in blueprints that facilitate the rapid development of your app's backend without any coding required. Additionally, Sails automatically translates incoming socket messages, ensuring they work with every route in your application. To further enhance your development process, Sails provides commercial support to help speed up project timelines and maintain coding best practices throughout your work. With its expansive features, Sails empowers developers to focus on building innovative solutions without getting bogged down in technical complexities.

Hue delivers an exceptional querying experience through its advanced autocomplete features and sophisticated query editor components. Users can seamlessly navigate tables and storage browsers, utilizing their existing knowledge of data catalogs. This functionality assists in locating the right data within extensive databases while also enabling self-documentation. Furthermore, the platform supports users in crafting SQL queries and provides rich previews for links, allowing for direct sharing in Slack from the editor. There is a variety of applications available, each tailored to specific querying needs, and data sources can be initially explored through the intuitive browsers. The editor excels particularly in SQL queries, equipped with intelligent autocomplete, risk alerts, and self-service troubleshooting capabilities. While dashboards are designed to visualize indexed data, they also possess the ability to query SQL databases effectively. Users can now search for specific cell values in tables, with results highlighted for easy identification. Additionally, Hue's SQL editing capabilities are considered among the finest globally, ensuring a streamlined and efficient experience for all users. This combination of features makes Hue a powerful tool for data exploration and management.

AllegroGraph represents a revolutionary advancement that facilitates limitless data integration through a proprietary methodology that merges all types of data and isolated knowledge into a cohesive Entity-Event Knowledge Graph, which is capable of handling extensive big data analytics. It employs distinctive federated sharding features that promote comprehensive insights and allow for intricate reasoning across a decentralized Knowledge Graph. Additionally, AllegroGraph offers an integrated version of Gruff, an innovative browser-based tool designed for visualizing graphs, helping users to explore and uncover relationships within their enterprise Knowledge Graphs. Furthermore, Franz's Knowledge Graph Solution encompasses both cutting-edge technology and expert services aimed at constructing robust Entity-Event Knowledge Graphs, leveraging top-tier tools, products, and extensive expertise to ensure optimal performance. This comprehensive approach not only enhances data utility but also empowers organizations to derive deeper insights and drive informed decision-making.

Algonomy's real-time Customer Data Platform (CDP) empowers marketers to deliver tailored customer experiences consistently and instantly. By consolidating customer identities from both online and offline sources, it facilitates immediate audience activation for a comprehensive perspective. Specifically designed for the retail sector, it can monitor customer actions using over 1,200 predefined metrics and attributes. The platform leverages machine learning algorithms to generate micro-segments, provide in-depth insights, and identify marketing opportunities at every stage of the customer journey. This innovative approach ensures that businesses can engage their customers effectively and adapt to their evolving needs in real-time.

SearchUnify is a leading enterprise agentic platform for elevating self-service and customer support outcomes. The platform powers a suite of next-gen products, including: - Cognitive Search - SearchUnify Virtual Assistant (World’s First Federated, Information Retrieval Augmented Chatbot for Fine-tuned, Contextual, and Intent-driven Conversational Experiences at Scale) - Knowbler (World’s First Knowledge-centered Customer Service Software), - Agent Helper (ML-powered solution for augmenting agent productivity and promoting case swarming) - Community Helper (AI-powered application to foster a personalized, engaging community and reduce community moderation effort)

Azul Zulu is 100% open-source, fully standards-compliant Java Development Kit, (JDK), and runtime platform. It offers flexible pricing and support plans with no field restrictions or proprietary licenses, timely security updates, and industry-leading support from Azul’s worldwide-distributed support staff. Customers value the level of support they receive. One survey respondent, a Vice President of Global Information Security, stated that Zulu's strong support and flexibility allow them to choose the level of support they want. Customers feel Azul is willing to work with them to find the best solution for their business needs.

Apache Ranger™ serves as a framework designed to facilitate, oversee, and manage extensive data security within the Hadoop ecosystem. The goal of Ranger is to implement a thorough security solution throughout the Apache Hadoop landscape. With the introduction of Apache YARN, the Hadoop platform can effectively accommodate a genuine data lake architecture, allowing businesses to operate various workloads in a multi-tenant setting. As the need for data security in Hadoop evolves, it must adapt to cater to diverse use cases regarding data access, while also offering a centralized framework for the administration of security policies and the oversight of user access. This centralized security management allows for the execution of all security-related tasks via a unified user interface or through REST APIs. Additionally, Ranger provides fine-grained authorization, enabling specific actions or operations with any Hadoop component or tool managed through a central administration tool. It standardizes authorization methods across all Hadoop components and enhances support for various authorization strategies, including role-based access control, thereby ensuring a robust security framework. By doing so, it significantly strengthens the overall security posture of organizations leveraging Hadoop technologies.

JanusGraph stands out as a highly scalable graph database designed for efficiently storing and querying extensive graphs that can comprise hundreds of billions of vertices and edges, all managed across a cluster of multiple machines. This project, which operates under The Linux Foundation, boasts contributions from notable organizations such as Expero, Google, GRAKN.AI, Hortonworks, IBM, and Amazon. It offers both elastic and linear scalability to accommodate an expanding data set and user community. Key features include robust data distribution and replication methods to enhance performance and ensure fault tolerance. Additionally, JanusGraph supports multi-datacenter high availability and provides hot backups for data security. All these capabilities are available without any associated costs, eliminating the necessity for purchasing commercial licenses, as it is entirely open source and governed by the Apache 2 license. Furthermore, JanusGraph functions as a transactional database capable of handling thousands of simultaneous users performing complex graph traversals in real time. It ensures support for both ACID properties and eventual consistency, catering to various operational needs. Beyond online transactional processing (OLTP), JanusGraph also facilitates global graph analytics (OLAP) through its integration with Apache Spark, making it a versatile tool for data analysis and visualization. This combination of features makes JanusGraph a powerful choice for organizations looking to leverage graph data effectively.

The Knox API Gateway functions as a reverse proxy, prioritizing flexibility in policy enforcement and backend service management for the requests it handles. It encompasses various aspects of policy enforcement, including authentication, federation, authorization, auditing, dispatch, host mapping, and content rewriting rules. A chain of providers, specified in the topology deployment descriptor associated with each Apache Hadoop cluster secured by Knox, facilitates this policy enforcement. Additionally, the cluster definition within the descriptor helps the Knox Gateway understand the structure of the cluster, enabling effective routing and translation from user-facing URLs to the internal workings of the cluster. Each secured Apache Hadoop cluster is equipped with its own REST APIs, consolidated under a unique application context path. Consequently, the Knox Gateway can safeguard numerous clusters while offering REST API consumers a unified endpoint for seamless access. This design enhances both security and usability by simplifying interactions with multiple backend services.

Apache Sentry™ serves as a robust system for implementing detailed role-based authorization for both data and metadata within a Hadoop cluster environment. Achieving Top-Level Apache project status after graduating from the Incubator in March 2016, Apache Sentry is recognized for its effectiveness in managing granular authorization. It empowers users and applications to have precise control over access privileges to data stored in Hadoop, ensuring that only authenticated entities can interact with sensitive information. Compatibility extends to a range of frameworks, including Apache Hive, Hive Metastore/HCatalog, Apache Solr, Impala, and HDFS, though its primary focus is on Hive table data. Designed as a flexible and pluggable authorization engine, Sentry allows for the creation of tailored authorization rules that assess and validate access requests for various Hadoop resources. Its modular architecture increases its adaptability, making it capable of supporting a diverse array of data models within the Hadoop ecosystem. This flexibility positions Sentry as a vital tool for organizations aiming to manage their data security effectively.

The Apache Lucene™ initiative is dedicated to creating open-source search technology. This initiative not only offers a fundamental library known as Lucene™ core but also includes PyLucene, which serves as a Python interface for Lucene. Lucene Core functions as a Java library that delivers robust features for indexing and searching, including capabilities for spellchecking, hit highlighting, and sophisticated analysis/tokenization. The PyLucene project enhances accessibility by allowing developers to utilize Lucene Core through Python. Backing this initiative is the Apache Software Foundation, which supports a variety of open-source software endeavors. Notably, Apache Lucene is made available under a license that is favorable for commercial use. It has established itself as a benchmark for search and indexing efficiency. Furthermore, Lucene is the foundational search engine for both Apache Solr™ and Elasticsearch™, which are widely used in various applications. From mobile platforms to major websites like Twitter, Apple, and Wikipedia, our core algorithms, together with the Solr search server, enable a multitude of applications globally. Ultimately, the objective of Apache Lucene is to deliver exceptional search capabilities that meet the needs of diverse users. Its continuous development reflects the commitment to innovation in search technology.

Achieve optimal visibility for products, brands, and categories while swiftly responding to new product introductions and promoting seasonal offerings. Stay agile in the face of emerging trends by leveraging shopper behavior, purchasing habits, analytics, and established machine learning models to drive relevant results. Display the most appropriate outcomes at crucial moments through contextual promotions, while emphasizing significant products, refining navigation, and crafting an exceptional user experience. B2B merchants are empowered to design search and navigation experiences that not only enhance customer relationships but also contribute to revenue growth and offer a competitive edge. FindTuner delivers an extensive array of features that enable merchandisers to effectively produce high-quality, relevant search results, enhance the shopping experience with personalization, and maximize both revenue and profitability. Additionally, the expanding feature set of FindTuner allows for the seamless creation and management of merchandising strategies across multiple storefronts, ensuring adaptability and efficiency in a dynamic market. This enables merchants to stay ahead of trends and provide consumers with a tailored shopping journey.

The Azure Marketplace serves as an extensive digital storefront, granting users access to a vast array of certified, ready-to-use software applications, services, and solutions provided by both Microsoft and various third-party vendors. This platform allows businesses to easily explore, purchase, and implement software solutions directly within the Azure cloud ecosystem. It features a diverse selection of products, encompassing virtual machine images, AI and machine learning models, developer tools, security features, and applications tailored for specific industries. With various pricing structures, including pay-as-you-go, free trials, and subscriptions, Azure Marketplace makes the procurement process more straightforward and consolidates billing into a single Azure invoice. Furthermore, its seamless integration with Azure services empowers organizations to bolster their cloud infrastructure, streamline operational workflows, and accelerate their digital transformation goals effectively. As a result, businesses can leverage cutting-edge technology solutions to stay competitive in an ever-evolving market.

By shifting testing to the left, issues can be identified sooner, making them cheaper and easier to resolve. This practice empowers developers to enhance their integration testing, which in turn reduces development cycles and boosts overall productivity. With more efficient and comprehensive integration feedback loops, products become significantly more reliable. Testcontainers Cloud simplifies the process for developers to execute dependable integration tests, utilizing real dependencies that are specified in code, seamlessly transitioning from personal laptops to team continuous integration (CI) systems. As an open-source framework, Testcontainers offers ephemeral, lightweight instances of databases, message brokers, web browsers, and virtually any application compatible with Docker containers. This eliminates the need for complicated mocks or environment setups, allowing developers to define their test dependencies in code; they can then execute their tests, automatically creating and subsequently removing the necessary containers. Ultimately, this approach fosters a more agile development environment, ensuring that teams can deliver high-quality software more efficiently.

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