Elasticsearch Alternatives

IBM Cognos Analytics acts as your trusted co-pilot for business with the aim of making you smarter, faster, and more confident in your data-driven decisions. IBM Cognos Analytics gives every user — whether data scientist, business analyst or non-IT specialist — more power to perform relevant analysis in a way that ties back to organizational objectives. It shortens each user’s journey from simple to sophisticated analytics, allowing them to harness data to explore the unknown, identify new relationships, get a deeper understanding of outcomes and challenge the status quo. Visualize, analyze and share actionable insights about your data with anyone in your organization with IBM Cognos Analytics.

AddSearch provides a lightning-fast, effortless, and customizable site search and recommendation tool for any website or e-commerce site. It works with any CMS and provides an Enterprise level tools to manage search results. With nearly 2000 customers globally, in Media, Telecommunications, Government, Education, eCommerce and many more, AddSearch is a proven best-of-breed site search solution. AddSearch has all the Enterprise-level features that you need: - Autocomplete - Smart results ranking - Including / Excluding content - Advanced search analytics with 1 year retention - Filters and facets - Search personalization - Custom SSO - Audit logs - Recommendation Engine - Automated synonyms suggestions - Organizational User Management - Works with any CMS - Implementations with a crawler or API - SLA up to 99.999% - Fast turnaround time Prices start from $99/month when implementing the search yourself. Full setup service included in plans from $499/month.

A powerful data analysis and visualization platform purpose-built for market research data. From data processing through to analysis, reporting, visualization, dashboards, distribution, and data alerts, Harmoni is for you. Spend less time processing data, and more time analyzing it. Harmoni uses automation to make your job easier. With Harmoni, it's easy to provide valuable, actionable insights to stakeholders. Market research budgets are shrinking, but expectations are ramping up. With Harmoni, you can slice and dice your data as the questions are asked, on the go. Bring your data sources together with Harmoni to form one usable set. Harmoni supports a wide range of data sources, including IBM SPSS®, SQL, Microsoft Excel, CSV, tab-delimited files, Dimensions, and more. Integrated with popular market research platforms, Harmoni supports data collection leaders such as Voxco, FocusVision Decipher, and Qualtrics.

Algolia is a search and discovery API platform for building powerful and composable experiences while solving for relevance with AI and configurable rules. Algolia Search enables our customers to design and implement unique search experiences using the design language of their choice. Algolia Recommend is a robust API that allows you to add “frequently bought together” and “related items” into any digital experience with as little as 6 lines of code.

SearchStax offers end-to-end search solutions for better search with site search on the frontend and hosted Solr infrastructure on the backend. We have over 700 customers in 20+ countries. Site Search for Websites Made Easy SearchStax Site Search delivers advanced, modern and personalized site search for your website or custom application: • Best-In-Class search experience • Actionable search insights for managers and executives • Self-service tools for the marketing team that don’t need developers to update and optimize the search experience • Quick Implementation for developers Fully-Managed Solr Service in the Cloud SearchStax Managed Search is a fully-managed, hosted Solr service that automates, manages and scales high-availability Solr infrastructure in public or private clouds: • Build faster and spend more time on value-added tasks • Scale faster through automation • Reduce costs through lower incidents and SLA

Toucan is a customer-facing analytics platform that empowers organizations to drive engagement with the best end-user experience. From data connections to the distribution of insights anywhere they're needed, Toucan makes it easy. As a result, Toucan analytics are used 3x more than the industry average. Users can connect to any data, cloud-based or other, streaming or stored, with hundreds of connectors. Preparation of data is equally simple with data readiness features that lets business people perform tasks that would ordinarily require an expert. Visualization takes the form of “data storytelling” where every chart is accompanied by context, collaboration, and annotation so that users understand the “why” and not just the “what” of their data. Finally, deployment and management are made easy with one-touch deployment from staging to production, easy embedding, and publishing to any device.

Long-term memory for AI. The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles. Once you have vector embeddings, manage and search through them in Pinecone to power semantic search, recommenders, and other applications that rely on relevant information retrieval. Ultra-low query latency, even with billions of items. Give users a great experience. Live index updates when you add, edit, or delete data. Your data is ready right away. Combine vector search with metadata filters for more relevant and faster results. Launch, use, and scale your vector search service with our easy API, without worrying about infrastructure or algorithms. We'll keep it running smoothly and securely.

Amazon CloudWatch is a monitoring and observability service built for DevOps engineers, developers, site reliability engineers (SREs), and IT managers. CloudWatch provides you with data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services that run on AWS and on-premises servers. You can use CloudWatch to detect anomalous behavior in your environments, set alarms, visualize logs and metrics side by side, take automated actions, troubleshoot issues, and discover insights to keep your applications. CloudWatch alarms watch your metric values against thresholds that you specify or that it creates using ML models to detect anomalous behavior.

Luigi's Box is a search and discovery solution designed specifically for e-commerce websites to improve the customer experience and achieve desired revenue. Through years of operation, Luigi's Box earned several awards for its intelligent AI-driven Search and Analytics. Our advanced features helped companies such as O2, Mountfield, and Answear successfully increase search usage and conversions. Luigi's Box is easy to use and has a user-friendly interface, making it suitable for businesses of all sizes and kinds. We understand that e-commerce businesses have unique needs, and a good product discovery solution should offer a range of advanced features to allow them to tailor the search experience to their specific needs. Luigi's Box is the easiest-to-use solution for its seamless integration. You need to just paste the tracking script into the header of your web. But we offer various types of implementation to choose from based on your preferences.

The Only Analytics Suite Designed For Data-Sensitive Industries. Use Piwik PRO to track user behavior even in the most secure areas while staying privacy-compliant, available on-premises and in the cloud. Full compliance with privacy & security laws worldwide. Piwik PRO makes it easy to comply with strict data privacy regulations. From privacy laws in the United States to all European laws and directives, including: GDPR, HIPAA, Chinese Internet Law, Russian law 526-FZ and many more. Piwik PRO offers 100% data ownership. None of it is ever sent to other servers or third parties whether you choose the On-Premises or Cloud solution. Combine data collected through Piwik PRO Analytics Suite to build highly accurate profiles of your customers and research user behavior patterns on the most granular level. Integrate first-party data from web analytics, your company’s CRM, offline sources (including CSV files), forms, and other sources. Get a complete picture of your customers’ behavior.

OpenSearch is a community-driven, open source search and analytics suite derived from Apache 2.0 licensed Elasticsearch 7.10.2 & Kibana 7.10.2. It consists of a search engine daemon, OpenSearch, and a visualization and user interface, OpenSearch Dashboards. OpenSearch enables people to easily ingest, secure, search, aggregate, view, and analyze data. These capabilities are popular for use cases such as application search, log analytics, and more. With OpenSearch people benefit from having an open source product they can use, modify, extend, monetize, and resell how they want. At the same time, OpenSearch will continue to provide a secure, high-quality search and analytics suite with a rich roadmap of new and innovative functionality.

Real-Time Analytics on Raw Data. Live ingest from S3, Kafka, DynamoDB & more. Explore raw data as SQL tables. Build amazing data-driven applications & live dashboards in minutes. Rockset is a serverless search and analytics engine that powers real-time apps and live dashboards. Operate directly on raw data, including JSON, XML, CSV, Parquet, XLSX or PDF. Plug data from real-time streams, data lakes, databases, and data warehouses into Rockset. Ingest real-time data without building pipelines. Rockset continuously syncs new data as it lands in your data sources without the need for a fixed schema. Use familiar SQL, including joins, filters, and aggregations. It’s blazing fast, as Rockset automatically indexes all fields in your data. Serve fast queries that power the apps, microservices, live dashboards, and data science notebooks you build. Scale without worrying about servers, shards, or pagers.

Redis Labs: home of Redis. Redis Enterprise is the best version of Redis. Go beyond cache; try Redis Enterprise free in the cloud using NoSQL & data caching with the world’s fastest in-memory database. Run Redis at scale, enterprise grade resiliency, massive scalability, ease of management, and operational simplicity. DevOps love Redis in the Cloud. Developers can access enhanced data structures, a variety of modules, and rapid innovation with faster time to market. CIOs love the confidence of working with 99.999% uptime best in class security and expert support from the creators of Redis. Implement relational databases, active-active, geo-distribution, built in conflict distribution for simple and complex data types, & reads/writes in multiple geo regions to the same data set. Redis Enterprise offers flexible deployment options, cloud on-prem, & hybrid. Redis Labs: home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.

Scalyr is the log management and observability platform for the new stack. Purpose-built to handle the scale and complexity of modern cloud architectures, Scalyr changes the dynamics of delivering healthy applications by allowing engineers to quickly troubleshoot problems and focus on doing what they love - coding. With 96% of searches completing in under one second and thousands of active users, Scalyr has transformed logs from afterthought into advantage. Scalyr’s rapidly-growing customer base includes NBCUniversal, Business Insider, Valentino, Giphy, Zalando and OkCupid. The company has the highest rating in its category in G2 Crowd, is a Gartner 2018 Cool Vendor, and was recognized as a 2018 Forbes Cloud 100 Rising Star. Visit us at scalyr.com and follow us on Twitter (@scalyr).

We simplify search for complex enterprises. Data isn’t just getting bigger. It’s becoming more connected, which makes data-driven decision making more complicated than ever. We build intuitive and intelligent insight engines on open source technologies. Our enterprise search products securely deliver the right data to the right user at the right time. Avoid vendor lock-in with an annual subscription. Our transparent, upfront annual pricing allows you to anticipate your spend and avoid surprises, even in the cloud. You won’t see the phrase “Contact Us for Pricing” anywhere on our website. Search that’s as easy for you to install as it is for your customers to use. Increasingly, visitors use search to navigate websites. And if they don’t find what they’re looking for right away, they leave. SearchBlox Site Search provides fast, accurate search and a sophisticated customer experience that boosts conversions.

ParadeDB brings column-oriented storage and vectorized query execution to Postgres tables. Users can choose between row and column-oriented storage at table creation time. Column-oriented tables are stored as Parquet files and are managed by Delta Lake. Search by keyword with BM25 scoring, configurable tokenizers, and multi-language support. Search by semantic meaning with support for sparse and dense vectors. Surface results with higher accuracy by combining the strengths of full text and similarity search. ParadeDB is ACID-compliant with concurrency controls across all transactions. ParadeDB integrates with the Postgres ecosystem, including clients, extensions, and libraries.

MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era. No database is more productive to use. Ship and iterate 3–5x faster with our flexible document data model and a unified query interface for any use case. Whether it’s your first customer or 20 million users around the world, meet your performance SLAs in any environment. Easily ensure high availability, protect data integrity, and meet the security and compliance standards for your mission-critical workloads. An integrated suite of cloud database services that allow you to address a wide variety of use cases, from transactional to analytical, from search to data visualizations. Launch secure mobile apps with native, edge-to-cloud sync and automatic conflict resolution. Run MongoDB anywhere, from your laptop to your data center.

Purpose-built for cloud-native deployments, EraSearch brings you a dynamic data fabric that leverages decoupled storage & compute, a true zero-schema design, and adaptive indexing to deliver an infinitely-scalable log management experience with an unparalleled reduction in cost and complexity. Lots of log management products are built on top of Elasticsearch. We built EraSearch from scratch to solve its key problems. By embracing a stateless design for all of the core components, managing EraSearch with k8s is a dream. Lots of log management products are built on top of Elasticsearch. We built EraSearch from scratch to solve its key problems. By using a modern, coordination-free ingest design, EraSearch can handle data at a greatly-reduced cost. Running EraSearch is completely hands-off, so you never have to worry about cluster health again.

An open source, blazingly fast and hyper relevant search-engine that will improve your search experience. MeiliSearch provides an extensive toolset for customization. Unlike with other search engines, these customization options are just optional. It works out-of-the-box with a preset that easily answers the needs of most applications. Communication is done with a RESTful API because most developers are already familiar with its norms. The search experience feels simple and intuitive. It’s all too common for search bars to make users feel like they have to learn a new language just to get the best results, or worse, that they have to jump back and forth between their search and Google just to get the right spelling or product UID. MeiliSearch makes searching simple and responsive, so the user can stay focused on the results. MeiliSearch offers a typo-tolerant and natural query language search experience.

Sinequa provides intelligent enterprise search connecting workers in the digital workplace with the information, expertise and insights they need to do their jobs. It handles vast and heterogeneous data volumes, offering security and compliance even in the most complex environments. Enabling employees to get relevant information & insights speeds up innovation and optimizes responsiveness to customers. Organizations powered by intelligent search enable people to do their jobs better, resulting in significant cost savings. Delivering insights to employees within the context of their work provides the transparency and speed needed to comply with regulations on a timely basis and mitigate financial and reputational risk. Sinequa’s Neural Search provides the most sophisticated engine for discovering enterprise information assets available on the market today.

Site Search 360 is a smart, ad-free search bar for your website. With a simple drag-and-drop integration, get your search up and running in no time! Let your visitors find exactly what they are looking for, right away. Features of Site Search 360 include: - Quick and easy visual configuration - Autocomplete and search suggestions - Low-to-no-code Search Designer for a customized search UX/UI - Faceted search results (filters) - Semantic search: built-in dictionaries in 19 languages + the ability to add your custom synonyms - In-depth Analytics to help you get the most out of your search: what your visitors look for the most, what results they click on, what queries bring no results, etc. - Full control over search results: boost, reorder, redirect them in no time with our low-to-no-code Result Manager - Integration with Google Analytics and Google Tag Manager - Import of Google Custom Search promotions - Awesome support: via live chat, email, or phone

Sphinx is an open source full text search server, designed from the ground up with performance, relevance (aka search quality), and integration simplicity in mind. It's written in C++ and works on Linux (RedHat, Ubuntu, etc), Windows, MacOS, Solaris, FreeBSD, and a few other systems. Sphinx lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily, or index and search data on the fly, working with Sphinx pretty much as with a database server. A variety of text processing features enable fine-tuning Sphinx for your particular application requirements, and a number of relevance functions ensures you can tweak search quality as well. Searching via SphinxAPI is as simple as 3 lines of code, and querying via SphinxQL is even simpler, with search queries expressed in good old SQL. Sphinx indexes up to 10-15 MB of text per second per single CPU core, that is 60+ MB/sec per server (on a dedicated indexing machine).

Amazon CloudSearch is a managed service in the AWS Cloud that makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application. Amazon CloudSearch supports 34 languages and popular search features such as highlighting, autocomplete, and geospatial search. With Amazon CloudSearch, you can quickly add rich search capabilities to your website or application. You don't need to become a search expert or worry about hardware provisioning, setup, and maintenance. With a few clicks in the AWS Management Console, you can create a search domain and upload the data that you want to make searchable, and Amazon CloudSearch will automatically provision the required resources and deploy a highly tuned search index. You can easily change your search parameters, fine tune search relevance, and apply new settings at any time. As your volume of data and traffic fluctuates, Amazon CloudSearch seamlessly scales to meet your needs.

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. As a document database, Amazon DocumentDB makes it easy to store, query, and index JSON data. Amazon DocumentDB is a non-relational database service designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data. Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs).

Amazon ElastiCache allows you to seamlessly set up, run, and scale popular open-Source compatible in-memory data stores in the cloud. Build data-intensive apps or boost the performance of your existing databases by retrieving data from high throughput and low latency in-memory data stores. Amazon ElastiCache is a popular choice for real-time use cases like Caching, Session Stores, Gaming, Geospatial Services, Real-Time Analytics, and Queuing. Amazon ElastiCache offers fully managed Redis and Memcached for your most demanding applications that require sub-millisecond response times. Amazon ElastiCache works as an in-memory data store and cache to support the most demanding applications requiring sub-millisecond response times. By utilizing an end-to-end optimized stack running on customer-dedicated nodes, Amazon ElastiCache provides secure, blazing-fast performance.

Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by machine learning. Kendra delivers powerful natural language search capabilities to your websites and applications so your end users can more easily find the information they need within the vast amount of content spread across your company. Use natural language questions instead of just simple keywords to get the answers you’re looking for, whether that is a precise answer, an FAQ, or an entire document. Say goodbye to sifting through long lists of links and hoping one has the information you need. Get rid of information silos. Kendra lets you easily add content from file systems, SharePoint, intranet sites, file sharing services, and more, into a centralized location so you can quickly search all of your information to find the best answer. Your results get better over time search, because Kendra’s machine learning algorithms learn which results your users find most valuable.

Amazon Timestream is a fast, scalable, and serverless time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th the cost of relational databases. Amazon Timestream saves you time and cost in managing the lifecycle of time series data by keeping recent data in memory and moving historical data to a cost optimized storage tier based upon user defined policies. Amazon Timestream’s purpose-built query engine lets you access and analyze recent and historical data together, without needing to specify explicitly in the query whether the data resides in the in-memory or cost-optimized tier. Amazon Timestream has built-in time series analytics functions, helping you identify trends and patterns in your data in near real-time.

Build cutting-edge, market-ready AI applications with out-of-the-box and customizable APIs and models. Quickly infuse generative AI into production workloads using studios, SDKs, and APIs. Gain a competitive edge by building AI apps powered by foundation models, including those from OpenAI, Meta, and Microsoft. Detect and mitigate harmful use with built-in responsible AI, enterprise-grade Azure security, and responsible AI tooling. Build your own copilot and generative AI applications with cutting-edge language and vision models. Retrieve the most relevant data using keyword, vector, and hybrid search. Monitor text and images to detect offensive or inappropriate content. Translate documents and text in real time across more than 100 languages.

Azure Cognitive Search is the only cloud search service with built-in AI capabilities that enrich all types of information to easily identify and explore relevant content at scale. Formerly known as Azure Search, it uses the same integrated Microsoft natural language stack that Bing and Office have used for more than a decade, and AI services across vision, language, and speech. Spend more time innovating and less time maintaining a complex cloud search solution. Deploy a search index quickly and avoid operational maintenance. This fully managed cloud search service reduces the complexity of data ingestion and index creation by integrating with popular Azure storage solutions and offering index functionality exposed through a simple REST API or .NET SDK. Deploy a fully configured search service with intuitive user experiences such as scoring, faceting, suggestions, synonyms, and geo-search—all while avoiding the operational overhead.

Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. Ask questions and iteratively explore data on the fly to improve products, enhance customer experiences, monitor devices, and boost operations. Quickly identify patterns, anomalies, and trends in your data. Explore new questions and get answers in minutes. Run as many queries as you need, thanks to the optimized cost structure. Explore new possibilities with your data cost-effectively. Focus on insights, not infrastructure, with the easy-to-use, fully managed data analytics service. Respond quickly to fast-flowing and rapidly changing data. Azure Data Explorer simplifies analytics from all forms of streaming data.

Log analytics should not break the bank. Because most logging solutions use one or both of these technologies - Elasticsearch database and/ or Lucene index - the cost of operation is unreasonably high. ChaosSearch takes a revolutionary approach. We reinvented indexing, which allows us to pass along substantial cost savings to our customers. See for yourself with this price comparison calculator. ChaosSearch is a fully managed SaaS platform that allows you to focus on search and analytics in AWS S3 rather than spend time managing and tuning databases. Leverage your existing AWS S3 infrastructure and let us do the rest. Watch this short video to learn how our unique approach and architecture allow ChaosSearch to address the challenges of today’s data & analytic requirements. ChaosSearch indexes your data as-is, for log, SQL and ML analytics, without transformation, while auto-detecting native schemas. ChaosSearch is an ideal replacement for the commonly deployed Elasticsearch solutions.

Natively store data for graph, document and search needs. Utilize feature-rich access with one query language. Map data natively to the database and access it with the best patterns for the job – traversals, joins, search, ranking, geospatial, aggregations – you name it. Polyglot persistence without the costs. Easily design, scale and adapt your architectures to changing needs and with much less effort. Combine the flexibility of JSON with semantic search and graph technology for next generation feature extraction even for large datasets.

Experience powerful, efficient threat detection and response through security analytics from a next-gen SIEM. Real-time threat detection and response backed by a powerful, open, and intelligent SIEM (Security Information and Event Management). Gain enterprise-wide threat visibility from an industry-leading data collection framework that connects to all your security event devices. When it comes to threat detection, every second counts. ESM’s powerful real-time correlation offers the fastest way to detect known threats. Coordinating a rapid response to threats is critical for Next-Gen SecOps. Automated responses and workflow processing keep your SOC efficient. A Next-Gen SIEM will efficiently integrate with your existing security solutions to boost their ROI and support a layered analytics approach. ArcSight ESM leverages the Security Open Data Platform, whose SmartConnectors can connect to 450+ data source types to collect, aggregate, clean, and enrich your data.

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data. Cassandra's support for replicating across multiple datacenters is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages.

Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures.

Use Ignite as a traditional SQL database by leveraging JDBC drivers, ODBC drivers, or the native SQL APIs that are available for Java, C#, C++, Python, and other programming languages. Seamlessly join, group, aggregate, and order your distributed in-memory and on-disk data. Accelerate your existing applications by 100x using Ignite as an in-memory cache or in-memory data grid that is deployed over one or more external databases. Think of a cache that you can query with SQL, transact, and compute on. Build modern applications that support transactional and analytical workloads by using Ignite as a database that scales beyond the available memory capacity. Ignite allocates memory for your hot data and goes to disk whenever applications query cold records. Execute kilobyte-size custom code over petabytes of data. Turn your Ignite database into a distributed supercomputer for low-latency calculations, complex analytics, and machine learning.

The Apache Lucene™ project develops open-source search software. The project releases a core search library, named Lucene™ core, as well as PyLucene, a python binding for Lucene. Lucene Core is a Java library providing powerful indexing and search features, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities. The PyLucene sub project provides Python bindings for Lucene Core. The Apache Software Foundation provides support for the Apache community of open-source software projects. Apache Lucene is distributed under a commercially friendly Apache Software license. Apache Lucene set the standard for search and indexing performance. Lucene is the search core of both Apache Solr™ and Elasticsearch™. Our core algorithms along with the Solr search server power applications the world over, ranging from mobile devices to sites like Twitter, Apple and Wikipedia. The goal of Apache Lucene is to provide world class search capabilities.

Pinot is designed to answer OLAP queries with low latency on immutable data. Pluggable indexing technologies - Sorted Index, Bitmap Index, Inverted Index. Joins are currently not supported, but this problem can be overcome by using Trino or PrestoDB for querying. SQL like language that supports selection, aggregation, filtering, group by, order by, distinct queries on data. Consist of of both offline and real-time table. Use real-time table only to cover segments for which offline data may not be available yet. Detect the right anomalies by customizing anomaly detect flow and notification flow.

Add a site search to your ecommerce site in 5 minutes without having to program a thing. Doofinder increases your sales by allowing your customers to search for and find the most relevant results. Increase the conversion rate of your online store. Doofinder is the advanced site search you need to sell more through your ecommerce website. Installation is quick and easy. You don’t even have to know how to program. And if you’d like any help, our team is always happy to be of service. No upfront payments or obligations. Try Doofinder for a month, then decide if you want to continue using it. We think you’re going to love it! You don’t need to know how to program in order to install Doofinder or configure its search results. Doofinder handles typos and synonyms while supporting over 30 languages. Our smart technology is predictive, dynamic, fast, and intuitive. It also learns from the behavior of online consumers.

Unlike other NoSQL databases, Couchbase provides an enterprise-class, multicloud to edge database that offers the robust capabilities required for business-critical applications on a highly scalable and available platform. As a distributed cloud-native database, Couchbase runs in modern dynamic environments and on any cloud, either customer-managed or fully managed as-a-service. Couchbase is built on open standards, combining the best of NoSQL with the power and familiarity of SQL, to simplify the transition from mainframe and relational databases. Couchbase Server is a multipurpose, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON’s versatility, with a foundation that is extremely fast and scalable. It’s used across industries for things like user profiles, dynamic product catalogs, GenAI apps, vector search, high-speed caching, and much more.

360° relevance across Websites, Ecommerce, Service, and the Workplace. Every search, recommendation, and interaction made it better. We help businesses deliver the relevant experiences people expect. With the Coveo Relevance Cloud, relevant search is just the beginning. Harness self-optimizing AI that learns from every click and query, at every touchpoint. So you can deliver experiences that get better and better, notice search relevance from Day 1, and scale to full 360° Relevance. Every click and query tells you what a customer wants. Serve up relevant product results, and tailored product and content recommendations, that they’ll want to 'add to cart. Connect each customer to the most relevant answers faster, with AI-powered customer self-service and AI-assisted agent responses. Coveo scores high marks for how we make things work, from drag-and-drop UI customizations to headless APIs and more.

The enterprise database for time series, documents, and vectors. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source distributed database running queries in milliseconds, whatever the complexity, volume and velocity of data.

WHY DEVO Devo Data Analytics Platform. Achieve full visibility with centralized cloud-scale log management. Say goodbye to constraints and compromises. Say hello to the new generation of log management and analytics that powers operations teams. For machine data to improve visibility, transform the SOC, and achieve enterprise-wide business initiatives, you need to keep pace with the relentless real-time demands of exploding data volumes, while not breaking the bank. Massive scale, no ninjas required. Forget about re-architecting. Devo grows with your business, exceeding even the highest demands without requiring you to manage clusters and indexes or be confined by unreasonable limits. Onboard giant new datasets in a snap. Roll out access to hundreds of new users painlessly. Always meet your teams’ demands year after year, petabyte upon petabyte. Agile cloud-native SaaS. Lift-and-shift cloud architectures just don’t cut it. They’re afflicted with the same performance

ClickHouse is a fast open-source OLAP database management system. It is column-oriented and allows to generate analytical reports using SQL queries in real-time. ClickHouse's performance exceeds comparable column-oriented database management systems currently available on the market. It processes hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. ClickHouse uses all available hardware to its full potential to process each query as fast as possible. Peak processing performance for a single query stands at more than 2 terabytes per second (after decompression, only used columns). In distributed setup reads are automatically balanced among healthy replicas to avoid increasing latency. ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters. All nodes are equal, which allows avoiding having single points of failure.

Get deep visibility into your cloud-native and distributed applications — from microservices to serverless architectures — and quickly identify and resolve root causes of issues. Seamlessly adopt APM to automatically identify anomalies, map service dependencies, and simplify investigations into outliers and abnormal behavior. Optimize your application code with extensive support for popular languages, OpenTelemetry, and distributed tracing. Identify performance issues with automated and curated visual representation of all dependencies, including cloud, messaging, data store, and third-party services and their performance data. Drill into anomalies, transaction details, and metrics for deeper analysis.

Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights. To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together the application, infrastructure, and user data into a unified solution for end-to-end observability and alerting. Combine limitless telemetry data collection and search-powered problem resolution in a unified solution for optimal operational and business results. Converge data silos by ingesting all your telemetry data (metrics, logs, and traces) from any source in an open, extensible, and scalable platform. Accelerate problem resolution with automatic anomaly detection powered by machine learning and rich data analytics.

Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research.

Sumo Logic offers a cloud solution for log management and metrics monitoring for IT and security teams of organizations of all sizes. Faster troubleshooting with integrated logs, metrics and traces. One platform. Many use cases. Increase your troubleshooting effectiveness. Sumo Logic helps you reduce downtime and move from reactive to proactive monitoring with cloud-based modern analytics powered by machine learning. Quickly detect Indicators of Compromise (IoCs), accelerate investigation, and ensure compliance using Sumo Logic Security Analytics. Enable data-driven business decisions and predict and analyze customer behavior using Sumo Logic’s real-time analytics platform. The Sumo Logic platform helps you make data-driven decisions and reduce the time to investigate security and operational issues so you can free up resources for more important activities.

Swiftype Site Search offers businesses and their audience a flexible and fast site search experience. With Swiftype Site Search, businesses can add a search feature to their website to help customers, readers and followers find highly relevant results. The solution can be adapted to a business' specific needs--whether it's an online store looking to increase conversion rates or an online publication seeking to boost engagement.

Klevu is an intelligent site search solution designed to help e-commerce businesses increase onsite sales and improve the customer online shopping experience. Klevu powers the search and navigation experience of thousands of mid-level and enterprise online retailers by leveraging advanced semantic search, natural language processing, merchandising and multi-lingual capabilities, ensuring visitors to your site find exactly what they are looking for regardless of the device or query complexity. Klevu AI is the most human-centric based AI, designed specifically for ecommerce, and one of the most comprehensive, included in Gartner’s Market Guide 2021 for Digital commerce search. Deliver relevant search results to your customers with Klevu’s powerful and customizable search engine built exclusively for ecommerce.