Alternatives to Elasticsearch

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.

AddSearch provides lightning-fast, effortless, and customizable site search for any website or web application. Use our Crawler or Indexing API to index your content and keep it up-to-date. AddSearch also supports with search UI build and search setup. With enterprise-level features, such as autocomplete, synonyms, ranking tools, and progressive ranking, AddSearch scales to any needs from small businesses to large corporations.

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

Algolia is an API platform for dynamic experiences that helps businesses maximize the speed of search and discovery, while solving the pain of relevance tuning through AI. Accessing the right piece of content on websites and apps has never been faster or more intuitive. Algolia Search is a powerful, fully hosted API that delivers content to users in milliseconds. Developers can customize the relevance of their user experience and get insights on how users interact with it. Algolia Recommend is a robust API that allows you to build unique product recommendations into any digital e-commerce experience.

The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.

Toucan, a customer-facing platform for analytics, empowers organizations to drive engagement and provide the best possible end-user experience. Toucan makes it simple, from data connections to the distribution and sharing of insights wherever they are needed. Toucan analytics are 3x more popular than the industry average. With hundreds of connectors, users can connect to any cloud-based or stored data. Data readiness features make data preparation easy for business people. They can perform tasks that would normally require an expert. Visualization can be described as "data storytelling", where every chart is accompanied with context, collaboration and annotation to help users understand the "why" behind their data. Finally, deployment and management are easy with one-touch deployment, from staging to production, easy embedding and publishing to any device.

MongoDB is a versatile, document-oriented, distributed database designed specifically for contemporary application developers and the cloud landscape. It offers unparalleled productivity, enabling teams to ship and iterate products 3 to 5 times faster thanks to its adaptable document data model and a single query interface that caters to diverse needs. Regardless of whether you're serving your very first customer or managing 20 million users globally, you'll be able to meet your performance service level agreements in any setting. The platform simplifies high availability, safeguards data integrity, and adheres to the security and compliance requirements for your critical workloads. Additionally, it features a comprehensive suite of cloud database services that support a broad array of use cases, including transactional processing, analytics, search functionality, and data visualizations. Furthermore, you can easily deploy secure mobile applications with built-in edge-to-cloud synchronization and automatic resolution of conflicts. MongoDB's flexibility allows you to operate it in various environments, from personal laptops to extensive data centers, making it a highly adaptable solution for modern data management challenges.

Amazon CloudWatch serves as a comprehensive monitoring and observability tool designed specifically for DevOps professionals, software developers, site reliability engineers, and IT administrators. This service equips users with essential data and actionable insights necessary for overseeing applications, reacting to performance shifts across systems, enhancing resource efficiency, and gaining an integrated perspective on operational health. By gathering monitoring and operational information in the forms of logs, metrics, and events, CloudWatch delivers a cohesive view of AWS resources, applications, and services, including those deployed on-premises. Users can leverage CloudWatch to identify unusual patterns within their environments, establish alerts, visualize logs alongside metrics, automate responses, troubleshoot problems, and unearth insights that contribute to application stability. Additionally, CloudWatch alarms continuously monitor your specified metric values against established thresholds or those generated through machine learning models to effectively spot any anomalous activities. This functionality ensures that users can maintain optimal performance and reliability across their systems.

We address your most pressing business challenges through adaptable, straightforward, and scalable solutions designed to facilitate your digital transformation journey. Start utilizing our premier business observability platform today to achieve comprehensive visibility across your operations with insights tailored for business needs, powered by AppDynamics and Cisco. Focus on what truly matters for your organization and your workforce, allowing you to monitor, collaborate, and act in real time. By gaining a profound understanding of user interactions and application performance, you can convert efficiency into profitability. Link full-stack performance analytics with essential business indicators such as conversion rates, enabling you to swiftly tackle problems before they have a detrimental effect on revenue. Navigate the uncertainties of the modern technological environment with our easily deployable solutions that promote growth, enhance customer satisfaction, and engage your teams in achieving business excellence. By aligning application performance with customer experiences and key business outcomes, you can ensure that critical issues are prioritized effectively, safeguarding your customers' experiences. The synergy between performance metrics and business success is vital for fostering innovation and maintaining a competitive edge.

Luigi's Box is a unique technological solution that uses AI to bring customers only relevant search results and personalized product suggestions, enhances the user experience, and unlocks the potential of your business. It is a year-by-year awarded easy-to-operate solution with a support team that acts in the interest of your continuous success. Luigi's Box offers easy no-code self-service integration - you only need to paste the tracking script into the header of your web. But there is more; we understand that every platform has different needs and preferences, and therefore we offer several more integration options to choose from. Luigi's Box offers several advanced features to increase search relevance and revenue and avoid fruitless searches and other unnecessary troubles, which reached out and helped companies such as O2, Mountfield, and Dr.Max. These use cases are proof that Luigi's Box is suitable for any business or industry platform on the online market.

Mistral AI stands out as an innovative startup in the realm of artificial intelligence, focusing on open-source generative solutions. The company provides a diverse array of customizable, enterprise-level AI offerings that can be implemented on various platforms, such as on-premises, cloud, edge, and devices. Among its key products are "Le Chat," a multilingual AI assistant aimed at boosting productivity in both personal and professional settings, and "La Plateforme," a platform for developers that facilitates the creation and deployment of AI-driven applications. With a strong commitment to transparency and cutting-edge innovation, Mistral AI has established itself as a prominent independent AI laboratory, actively contributing to the advancement of open-source AI and influencing policy discussions. Their dedication to fostering an open AI ecosystem underscores their role as a thought leader in the industry.

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

Cloud Search offers the power of Google Search tailored for your business, enabling a comprehensive enterprise search experience. It can be utilized in conjunction with G Suite or as an independent tool to link various third-party applications and data sources, allowing employees to efficiently and securely locate information throughout the organization. The process of searching through corporate data is simplified with Cloud Search. By leveraging machine learning, it provides immediate query suggestions and highlights the most pertinent results from over 100 content platforms in more than 100 languages. Essentially, Cloud Search mirrors Google's capabilities for the web, but focuses on enhancing enterprise search for organizations. Additionally, it provides enterprise search solutions through sturdy SDKs and user-friendly APIs, making it easy to scale and index extensive data from diverse origins. With more than 100 connectors available, you can seamlessly integrate and index content from a wide array of enterprise sources, ensuring that your business's information is always at your fingertips. This innovative search solution empowers employees to enhance their productivity and decision-making processes.

Introducing the ultimate analytics platform tailored specifically for industries that prioritize data sensitivity. With Piwik PRO, you can monitor user interactions even in the most secure environments while ensuring adherence to privacy standards, whether you opt for an on-premises setup or a cloud solution. It guarantees full compliance with global privacy and security regulations, making it simple to navigate stringent data protection laws. This includes compliance with various regulations from the United States and across Europe, such as GDPR, HIPAA, and more, alongside specific laws from countries like China and Russia. Piwik PRO ensures that you retain complete ownership of your data, as none is transmitted to external servers or third parties, regardless of whether you use the On-Premises or Cloud option. By leveraging the Piwik PRO Analytics Suite, you can merge the data you collect to create precise customer profiles and analyze user behavior with remarkable detail. Integrate first-party data seamlessly from diverse sources such as web analytics, your organization’s CRM, offline data (including CSV files), forms, and beyond. This holistic approach allows for a thorough understanding of your customers’ behavior patterns. Ultimately, Piwik PRO empowers you to make informed decisions backed by comprehensive insights into your audience.

Grafana Loki is a free and open-source system designed for log aggregation, focusing on the efficient collection, storage, and querying of logs from diverse sources. Unlike conventional logging solutions, Loki is specifically tailored for cloud-native applications, making it ideal for modern environments like Kubernetes that utilize containerization. It integrates smoothly with Grafana, enabling users to visualize log data alongside metrics and traces, thereby creating a cohesive observability framework. By indexing only essential metadata, including labels and timestamps, Loki minimizes data storage needs while enhancing query efficiency compared to traditional log management systems. This streamlined method not only facilitates easier scalability but also ensures more economical storage solutions. Furthermore, Loki accommodates log aggregation from a variety of sources, such as Syslog, application logs, and container logs, and works in conjunction with other observability tools, offering a comprehensive insight into system performance. Users benefit from this integration, as it allows for real-time monitoring and troubleshooting, ultimately leading to improved operational efficiency.

Assist visitors in locating the information they desire on your site by incorporating a customizable search box into your web pages, which delivers quick, pertinent results powered by Google's advanced search technology. This continuous enhancement ensures that you receive swift and relevant outcomes every time users search. You have complete control over your search engine’s configuration, allowing you to specify the content it searches and customize its appearance. Setting up your search engine on your website is a breeze, and you can choose whether to restrict searches to your site alone or to include results from other locations on the internet. With various pre-designed themes available, or the option to create a unique search results page, you can tailor the experience to fit your brand. Moreover, you can utilize AdSense to display relevant advertisements, providing an opportunity to earn income while keeping the service free, or opt for a minimal fee to enjoy an ad-free browsing experience. This flexibility in monetization and customization makes it simple to enhance user satisfaction while also benefiting your website's revenue.

Built on the powerful Graylog Platform, Graylog Security is a leading threat detection, investigation, and response (TDIR) solution that streamlines cybersecurity operations with an intuitive workflow, seamless analyst experience, and cost efficiency. It helps security teams reduce risk and improve key metrics like Mean Time to Detect (MTTD) by optimizing threat detection coverage while lowering Total Cost of Ownership (TCO) through native data routing and tiering. Additionally, Graylog Security accelerates incident response by enabling analysts to quickly address critical alerts, reducing Mean Time to Response (MTTR). With integrated SOAR capabilities, Graylog Security automates repetitive tasks, orchestrates workflows, and enhances response efficiency, empowering organizations to proactively detect and neutralize cybersecurity threats.

Capture all logs and respond to inquiries in real-time with cutting-edge log management that includes streaming observability and cost-effective Unlimited Plans. Humio is designed to quickly ingest and preserve streaming data as it arrives, no matter the quantity. Alerts, scripts, and dashboards reflect updates instantly, while both live tail and searches of retained data experience nearly zero latency. With an index-free architecture, Humio accommodates any format, whether structured or unstructured. Users can formulate any question regarding live or archived data without the need to define fields in advance, ensuring rapid response times. Humio’s pricing is competitive, featuring top-tier Unlimited Plans that cater to various needs. Its sophisticated compression techniques and bucket storage approach can reduce compute and storage expenses by up to 70%. Moreover, Humio can be deployed in just a few minutes and requires minimal upkeep. By ingesting unlimited data at any throughput, Humio ensures you have access to the complete dataset necessary for timely incident detection and response, making it a robust solution for modern data management. Its user-friendly interface and efficient architecture position it as a leader in the log management space.

Yext (NYSE: YEXT) offers a software platform that helps organizations deliver relevant, actionable answers everywhere their customers, employees, and partners look for information. Learn more at yext.com.

The Apache Hadoop software library serves as a framework for the distributed processing of extensive data sets across computer clusters, utilizing straightforward programming models. It is built to scale from individual servers to thousands of machines, each providing local computation and storage capabilities. Instead of depending on hardware for high availability, the library is engineered to identify and manage failures within the application layer, ensuring that a highly available service can run on a cluster of machines that may be susceptible to disruptions. Numerous companies and organizations leverage Hadoop for both research initiatives and production environments. Users are invited to join the Hadoop PoweredBy wiki page to showcase their usage. The latest version, Apache Hadoop 3.3.4, introduces several notable improvements compared to the earlier major release, hadoop-3.2, enhancing its overall performance and functionality. This continuous evolution of Hadoop reflects the growing need for efficient data processing solutions in today's data-driven landscape.

TimescaleDB is the most popular open-source relational database that supports time-series data. Fully managed or self-hosted. You can rely on the same PostgreSQL that you love. It has full SQL, rock-solid reliability and a huge ecosystem. Write millions of data points per node. Horizontally scale up to petabytes. Don't worry too much about cardinality. Reduce complexity, ask more questions and build more powerful applications. You will save money with 94-97% compression rates using best-in-class algorithms, and other performance improvements. Modern cloud-native relational database platform that stores time-series data. It is based on PostgreSQL and TimescaleDB. This is the fastest, easiest, and most reliable way to store all of your time-series information. All observability data can be considered time-series data. Time-series problems are those that require efficient solutions to infrastructure and application problems.

Swiftype Site Search provides companies and their users with a speedy and adaptable search functionality for websites. By integrating Swiftype Site Search, organizations can offer a tool that enables customers, visitors, and followers to easily discover pertinent information. This solution is customizable to cater to the unique requirements of various businesses, whether they are e-commerce platforms aiming to enhance sales or digital publications striving to improve user interaction and engagement. Ultimately, it ensures that users have a seamless and efficient search experience tailored to their needs.

dtSearch products enable rapid searching across vast amounts of text, encompassing both online and offline data formats, with search results typically returned in under one second, even during concurrent queries. Designed for both individual and shared network use, dtSearch Desktop and dtSearch Network function seamlessly within a traditional Windows setting. Additionally, the dtSearch Engine offers a developer SDK available in various versions tailored for different platforms. When utilized in an Internet or Intranet server environment, the dtSearch Engine facilitates efficient multithreaded searching, allowing for an unlimited number of concurrent search threads. The process of indexing is straightforward; simply direct dtSearch to the folders or online data you wish to include, and it will automatically identify the files, emails, and other content available. Furthermore, dtSearch is capable of constructing and simultaneously searching multiple terabyte indexes, ensuring extensive data retrieval capabilities. This robust functionality makes dtSearch an invaluable tool for organizations dealing with large volumes of information.

Achieve optimal results through efficient and adaptable query-time sorting, allowing you to position specific records strategically for enhanced visibility or promotion. Enable users to discover pants when they search for trousers, and vice versa, by setting them as synonyms. Consolidate multiple users’ data within a single index and issue unique API keys to ensure that each user can only access their own information. Dynamically sort records by any field in your documents, such as price or popularity, eliminating the need for duplicate indices. Enhance result diversity by grouping similar items together, like combining all color variations of a shirt into one entry. Retrieve only those records that align with specified filters, and perform aggregate functions to compute counts, minimums, maximums, and averages across your records. Additionally, facilitate search and sorting capabilities within a specified distance from a particular latitude and longitude or within a defined polygon area. By following a few straightforward steps, you can build a robust and reliable production-grade search service that meets your needs. Ultimately, this approach ensures a seamless and efficient user experience, promoting greater satisfaction and engagement.

LOGalyze serves as a powerful open-source solution for centralized log management and network monitoring. If you aim to consolidate all your log data in one location, LOGalyze is an excellent option. It is compatible with Linux/Unix servers, network devices, and Windows hosts. Offering real-time event detection along with comprehensive search functions, this application enables you to gather log data from various devices, analyze, normalize, and parse it using custom Log Definitions. You can also take advantage of the existing Statistics and Report Definitions, or create your own to suit your needs. By correlating any log data, you have the ability to define specific Events and Alerts. Furthermore, its ticketing system acts as a robust tool for resolving open incidents more efficiently. LOGalyze not only aids in reducing internal expenses but also enhances network uptime, boosts efficiency, and helps eliminate unnecessary network traffic. Additionally, the integrated scheduled Reports provide a holistic view of your entire network's performance. This comprehensive approach ensures that you can maintain optimal network health and responsiveness.

Sumo Logic is a cloud-based solution for log management and monitoring for IT and security departments of all sizes. Integrated logs, metrics, and traces allow for faster troubleshooting. One platform. Multiple uses. You can increase your troubleshooting efficiency. Sumo Logic can help you reduce downtime, move from reactive to proactive monitoring, and use cloud-based modern analytics powered with machine learning to improve your troubleshooting. Sumo Logic Security Analytics allows you to quickly detect Indicators of Compromise, accelerate investigation, and ensure compliance. Sumo Logic's real time analytics platform allows you to make data-driven business decisions. You can also predict and analyze customer behavior. Sumo Logic's platform allows you to make data-driven business decisions and reduce the time it takes to investigate operational and security issues, so you have more time for other important activities.

IBM Instana sets the benchmark for incident prevention, offering comprehensive full-stack visibility with one-second precision and a notification time of just three seconds. In the current landscape of rapidly evolving and intricate cloud infrastructures, the financial repercussions of an hour of downtime can soar into the six-figure range or more. Conventional application performance monitoring (APM) tools often fall short, lacking the speed and depth required to effectively address and contextualize technical issues, and they usually necessitate extensive training for super users before they can be utilized effectively. In contrast, IBM Instana Observability transcends the limitations of standard APM tools by making observability accessible to a wider audience, enabling individuals from DevOps, SRE, platform engineering, ITOps, and development teams to obtain the necessary data and context without barriers. The Instana Dynamic APM functions through a specialized agent architecture, utilizing sensors—automated, lightweight programs specifically designed to monitor particular entities and ensure optimal performance. As a result, organizations can respond to incidents proactively and maintain a higher level of service continuity.

Fusion transforms siloed data into unique insights for each user. Lucidworks Fusion allows customers to easily deploy AI-powered search and data discovery applications in a modern, containerized cloud-native architecture. Data scientists can interact with these applications by using existing machine learning models. They can also quickly create and deploy new models with popular tools such as Python ML and TensorFlow. It is easier and less risk to manage Fusion cloud deployments. Lucidworks has modernized Fusion using a cloud-native microservices architecture orchestrated and managed by Kubernetes. Fusion allows customers to dynamically manage their application resources according to usage ebbs, flows, and reduce the effort of deploying Fusion and upgrading it. Fusion also helps avoid unscheduled downtime or performance degradation. Fusion supports Python machine learning models natively. Fusion can integrate your custom ML models.

Klevu is an intelligent site-search solution that helps e-commerce businesses increase their onsite sales and improve customer online shopping experience. Klevu powers the navigation and search experience for thousands of enterprise and mid-level online retailers. It leverages advanced semantic search, natural word processing, merchandising, and multilingual capabilities to ensure that visitors to your site find exactly the information they need, regardless of device or query complexity.

Kibana serves as a free and open user interface that enables the visualization of your Elasticsearch data while providing navigational capabilities within the Elastic Stack. You can monitor query loads or gain insights into how requests traverse your applications. This platform offers flexibility in how you choose to represent your data. With its dynamic visualizations, you can start with a single inquiry and discover new insights along the way. Kibana comes equipped with essential visual tools such as histograms, line graphs, pie charts, and sunbursts, among others. Additionally, it allows you to conduct searches across all your documents seamlessly. Utilize Elastic Maps to delve into geographic data or exercise creativity by visualizing custom layers and vector shapes. You can also conduct sophisticated time series analyses on your Elasticsearch data using our specially designed time series user interfaces. Furthermore, articulate queries, transformations, and visual representations with intuitive and powerful expressions that are easy to master. By employing these features, you can uncover deeper insights into your data, enhancing your overall analytical capabilities.

LlamaIndex serves as a versatile "data framework" designed to assist in the development of applications powered by large language models (LLMs). It enables the integration of semi-structured data from various APIs, including Slack, Salesforce, and Notion. This straightforward yet adaptable framework facilitates the connection of custom data sources to LLMs, enhancing the capabilities of your applications with essential data tools. By linking your existing data formats—such as APIs, PDFs, documents, and SQL databases—you can effectively utilize them within your LLM applications. Furthermore, you can store and index your data for various applications, ensuring seamless integration with downstream vector storage and database services. LlamaIndex also offers a query interface that allows users to input any prompt related to their data, yielding responses that are enriched with knowledge. It allows for the connection of unstructured data sources, including documents, raw text files, PDFs, videos, and images, while also making it simple to incorporate structured data from sources like Excel or SQL. Additionally, LlamaIndex provides methods for organizing your data through indices and graphs, making it more accessible for use with LLMs, thereby enhancing the overall user experience and expanding the potential applications.

InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 250 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on-premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge. To get started, InfluxData offers free training through InfluxDB University.

Mindbreeze takes note of what you are most interested in, learns how to search intelligently and quickly recognizes information that other systems miss. To give employees and customers a 360-degree view, data is gathered from many sources. Mindbreeze automatically makes data accessible across all applications, departments, and company boundaries. Mindbreeze InSpire searches for all information about your company such as e mail addresses, telephone numbers and contact persons. It displays contact information for experts from different fields and their contact information. The preview function allows you to quickly find all documents, including the latest revisions. The 360-degree customer search app allows the user to interact with 360-degree views of one account. It indexes multiple structured data sources, such as SAP.

Enhance your organization's productivity and streamline your workflow with an enterprise search solution that delivers highly relevant search outcomes. Microsoft Search empowers you to quickly locate the information necessary to finish your tasks. Whether you need to find colleagues, documents, organizational charts, websites, or responses to frequently asked questions, Microsoft Search is available to provide answers throughout your day at work. This tool assists users in discovering the appropriate answers, individuals, and content needed to complete their work within the applications they are currently utilizing. The results are tailored to be contextually relevant based on the specific app being used; for instance, searching in Microsoft Outlook yields emails, while a search in SharePoint reveals websites, pages, and files. Regardless of the application in use, Microsoft Search adapts to each user’s needs. By leveraging insights from the Microsoft Graph, it presents results that are individualized and pertinent to every user’s specific context. This personalized approach ensures that everyone can efficiently access the resources they need to enhance their productivity.

Real-time analytics on raw data. Live ingest from S3, DynamoDB, DynamoDB and more. Raw data can be accessed as SQL tables. In minutes, you can create amazing data-driven apps and live dashboards. Rockset is a serverless analytics and search engine that powers real-time applications and live dashboards. You can directly work with raw data such as JSON, XML and CSV. Rockset can import data from real-time streams and data lakes, data warehouses, and databases. You can import real-time data without the need to build pipelines. Rockset syncs all new data as it arrives in your data sources, without the need to create a fixed schema. You can use familiar SQL, including filters, joins, and aggregations. Rockset automatically indexes every field in your data, making it lightning fast. Fast queries are used to power your apps, microservices and live dashboards. Scale without worrying too much about servers, shards or pagers.

Scalyr is the log management platform and observability platform for new stack. Scalyr was designed to deal with the complexity and scale of modern cloud architectures. It allows engineers to quickly solve problems and concentrate on what they love, coding. Scalyr has made logs a benefit with 96% of searches being completed in less than one second and thousands upon thousands of active users. Scalyr's rapidly growing customer base includes NBCUniversal and Business Insider as well as Valentino, Giphy and Zalando. The company is the best-rated in its category in G2 Crowd and is a Gartner 2018 cool vendor. It was also named a 2018 Forbes Cloud 100 Rising Star. Visit us at www.scalyr.com or follow us on Twitter (@scalyr).

Redis Labs is the home of Redis. Redis Enterprise is the best Redis version. Redis Enterprise is more than a cache. Redis Enterprise can be free in the cloud with NoSQL and data caching using the fastest in-memory database. Redis can be scaled, enterprise-grade resilience, massive scaling, ease of administration, and operational simplicity. Redis in the Cloud is a favorite of DevOps. Developers have access to enhanced data structures and a variety modules. This allows them to innovate faster and has a faster time-to-market. CIOs love the security and expert support of Redis, which provides 99.999% uptime. Use relational databases for active-active, geodistribution, conflict distribution, reads/writes in multiple regions to the same data set. Redis Enterprise offers flexible deployment options. Redis Labs is the home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.

We streamline the search process for intricate enterprises. Data is not only expanding in volume but is also becoming increasingly interconnected, complicating the process of making data-driven decisions. Our company develops smart and user-friendly insight engines built on open-source platforms. Our enterprise search solutions ensure secure access to the appropriate data for each user precisely when it’s needed. With an annual subscription model, you can sidestep vendor lock-in. Our clear and upfront yearly pricing structure allows you to predict your expenses without any unexpected costs, even in cloud environments. You will not encounter the phrase “Contact Us for Pricing” anywhere on our site. Our search solutions are designed to be as effortless for you to implement as they are for your clients to navigate. More and more, users rely on search to explore websites, and if they can’t quickly locate what they need, they tend to leave. SearchBlox Site Search delivers speedy and precise results, enhancing the customer experience and ultimately increasing conversion rates. Furthermore, our solutions are tailored to adapt to the changing landscape of digital interactions, ensuring continued relevance and effectiveness.

Centralize, transform, and store your data seamlessly. Logstash serves as a free and open-source data processing pipeline on the server side, capable of ingesting data from numerous sources, transforming it, and then directing it to your preferred storage solution. It efficiently handles the ingestion, transformation, and delivery of data, accommodating various formats and levels of complexity. Utilize grok to extract structure from unstructured data, interpret geographic coordinates from IP addresses, and manage sensitive information by anonymizing or excluding specific fields to simplify processing. Data is frequently dispersed across multiple systems and formats, creating silos that can hinder analysis. Logstash accommodates a wide range of inputs, enabling the simultaneous collection of events from diverse and common sources. Effortlessly collect data from logs, metrics, web applications, data repositories, and a variety of AWS services, all in a continuous streaming manner. With its robust capabilities, Logstash empowers organizations to unify their data landscape effectively. For further information, you can download it here: https://sourceforge.net/projects/logstash.mirror/

SolarWinds®, Loggly®, is a cost-effective, hosted and scalable multi-source log management system that combines powerful search and analytics with extensive alerting, dashboarding and reporting to help you identify potential problems and reduce Mean Time to Fix (MTTR). LOGGLY AT A GLANCE >> Full-stack log aggregation, log monitoring and data analytics Log analytics provides context and patterns for events, as well as anomalies that can be used to gain deeper insights. >> Highly scalable to ingest large data volumes and enable quick searching across large and complicated environments >> Spot usage patterns with application, service, and infrastructure-aligned historical analysis of user, log, and infrastructure data >> Manage by exception: Identify variations from the norm with powerful log formatting capabilities and analytic search capabilities

Unlock the potential of your data, expedite insightful decision-making, and attain agility in data management securely with the MarkLogic data platform. This platform allows you to merge your data with all relevant metadata within a unified service, leading to quicker and more informed decision-making. Experience a reliable and efficient approach to securely link data and metadata, derive meaningful insights, and access high-quality contextualized information throughout your organization using the MarkLogic data platform. Gain real-time insights into your customers to deliver relevant and seamless interactions, uncover new opportunities to drive innovation, and facilitate compliant access within a single data framework. With MarkLogic, you have a solid foundation that supports your essential business and technical goals both now and in the future, ensuring you stay ahead in a dynamic market.

Open source is a passion for engineers. We supercharged the top open-source monitoring tools, including Jaeger, Prometheus and ELK, and combined them into a scalable SaaS platform. You can collect and analyze all your logs, metrics, traces and other data on one platform for end to end monitoring. You can visualize your data using customizable and easy-to-use monitoring dashboards. Logz.io's AI/ML human-coach automatically detects and corrects any errors or exceptions in your logs. Alerting to Slack and PagerDuty, Gmail and other endpoints allows you to quickly respond to new events. Centralize your metrics at any scale on Prometheus-as-a-service. Unified with logs, traces. Just three lines of code are required to add to your Prometheus config file to start forwarding your metrics and data to Logz.io.

MeiliSearch is a lightning-fast, open-source search engine designed to enhance your search experience significantly. It comes equipped with a comprehensive set of customization tools, although these are entirely optional, allowing users to tailor their experience as needed. Out of the box, it functions with a preset configuration that meets the requirements of most applications seamlessly. Developers will appreciate its RESTful API, which aligns with familiar standards, making integration straightforward. The interface is designed to be user-friendly and intuitive, addressing a common frustration where search bars often require users to learn complex syntax to achieve optimal results. Users frequently find themselves switching between search engines and external sources for accurate information, such as correct spellings or product IDs. MeiliSearch eliminates these hurdles, ensuring that users can focus on the search results without unnecessary distractions. It also supports a typo-tolerant and natural query language, making the search process even more accessible and efficient, ultimately enhancing user satisfaction. With its innovative approach, MeiliSearch stands out as a superior choice for anyone looking to streamline their search functionality.

MongoDB Atlas stands out as the leading cloud database service available, offering unparalleled data distribution and seamless mobility across all major platforms, including AWS, Azure, and Google Cloud. Its built-in automation tools enhance resource management and workload optimization, making it the go-to choice for modern application deployment. As a fully managed service, it ensures best-in-class automation and adheres to established practices that support high availability, scalability, and compliance with stringent data security and privacy regulations. Furthermore, MongoDB Atlas provides robust security controls tailored for your data needs, allowing for the integration of enterprise-grade features that align with existing security protocols and compliance measures. With preconfigured elements for authentication, authorization, and encryption, you can rest assured that your data remains secure and protected at all times. Ultimately, MongoDB Atlas not only simplifies deployment and scaling in the cloud but also fortifies your data with comprehensive security features that adapt to evolving requirements.

Site Search 360 is an intelligent, ad-free search engine for your website. You can quickly get your search up-and-running with a simple drag and drop integration. Your visitors will find exactly what they need right away. Site Search 360 features include: Visual configuration is quick and simple Search suggestions and autocomplete Search results for Facet-organized Semantic Search: Built-in Dictionary in 19 Languages + the ability to add custom synonyms Analytics to help you get more out of your search: What are your visitors looking for? What results do they click on? What queries don't bring any results? Full control over search results: boost, reorder, redirect Integration with Google Analytics & Google Tag Manager Import of Google Custom Search Promotions Amazing support: Live chat, email, and phone

Sinequa offers a cutting-edge intelligent enterprise search solution that links employees in the digital workspace with essential information, expertise, and insights necessary for their tasks. It efficiently manages large and diverse data sets while ensuring security and compliance, even in intricate environments. By providing employees with pertinent information and insights, it accelerates innovation and enhances responsiveness to clients. Organizations leveraging intelligent search empower their workforce to perform tasks more effectively, leading to substantial cost reductions. By delivering insights within the context of employees' work, it ensures the transparency and agility required for timely regulatory compliance, ultimately reducing financial and reputational risks. Additionally, Sinequa’s Neural Search boasts the most advanced engine on the market for uncovering enterprise information assets, making it an invaluable tool for organizations aiming to optimize their operational efficiency.

OpenSearch is an open-source search and analytics suite that is community-driven and based on the Apache 2.0 licensed versions of Elasticsearch 7.10.2 and Kibana 7.10.2. It includes the OpenSearch search engine daemon and the OpenSearch Dashboards for visualization and user interaction. This platform allows users to easily ingest, secure, search, aggregate, visualize, and analyze their data. It is particularly well-suited for various applications, including application search and log analytics. Users gain the advantage of an open-source solution that they can customize, enhance, monetize, and resell according to their needs. Furthermore, OpenSearch is committed to delivering a secure and high-quality search and analytics environment, continuously evolving with a promising roadmap of innovative features and enhancements to meet users' needs effectively.

Sphinx is a high-performance open-source full-text search engine specifically designed to prioritize efficiency, search quality, and ease of integration. Built using C++, it operates seamlessly across various platforms including Linux (such as RedHat and Ubuntu), Windows, MacOS, Solaris, FreeBSD, and several others. Sphinx supports both batch indexing and on-the-fly searching of data from SQL databases, NoSQL systems, or even plain files, allowing for a flexible approach similar to querying a traditional database server. The platform offers numerous text processing capabilities that facilitate the customization of its functions to meet the distinct needs of different applications, while multiple relevance tuning options help enhance the quality of search results. Implementing searches through SphinxAPI requires only three lines of code, and using SphinxQL is even more straightforward, enabling users to write search queries in familiar SQL syntax. Remarkably, Sphinx can index between 10 to 15 MB of text in a second for each CPU core, translating to over 60 MB per second on a dedicated indexing server. With its robust features and efficient performance, Sphinx stands out as an excellent choice for developers seeking a search solution tailored to their specific requirements.

Weaviate serves as an open-source vector database that empowers users to effectively store data objects and vector embeddings derived from preferred ML models, effortlessly scaling to accommodate billions of such objects. Users can either import their own vectors or utilize the available vectorization modules, enabling them to index vast amounts of data for efficient searching. By integrating various search methods, including both keyword-based and vector-based approaches, Weaviate offers cutting-edge search experiences. Enhancing search outcomes can be achieved by integrating LLM models like GPT-3, which contribute to the development of next-generation search functionalities. Beyond its search capabilities, Weaviate's advanced vector database supports a diverse array of innovative applications. Users can conduct rapid pure vector similarity searches over both raw vectors and data objects, even when applying filters. The flexibility to merge keyword-based search with vector techniques ensures top-tier results while leveraging any generative model in conjunction with their data allows users to perform complex tasks, such as conducting Q&A sessions over the dataset, further expanding the potential of the platform. In essence, Weaviate not only enhances search capabilities but also inspires creativity in app development.

ParadeDB enhances Postgres tables by introducing column-oriented storage alongside vectorized query execution capabilities. At the time of table creation, users can opt for either row-oriented or column-oriented storage. The data in column-oriented tables is stored as Parquet files and is efficiently managed through Delta Lake. It features keyword search powered by BM25 scoring, adjustable tokenizers, and support for multiple languages. Additionally, it allows semantic searches that utilize both sparse and dense vectors, enabling users to achieve improved result accuracy by merging full-text and similarity search techniques. Furthermore, ParadeDB adheres to ACID principles, ensuring robust concurrency controls for all transactions. It also seamlessly integrates with the broader Postgres ecosystem, including various clients, extensions, and libraries, making it a versatile option for developers. Overall, ParadeDB provides a powerful solution for those seeking optimized data handling and retrieval in Postgres.