Alternatives to Elasticsearch

Compare Elasticsearch alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Elasticsearch in 2026. Compare features, ratings, user reviews, pricing, and more from Elasticsearch competitors and alternatives in order to make an informed decision for your business.

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    MongoDB Atlas
    The most innovative cloud database service on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more. MongoDB Atlas is the global cloud database service for modern applications. Deploy fully managed MongoDB across AWS, Google Cloud, and Azure with best-in-class automation and proven practices that guarantee availability, scalability, and compliance with the most demanding data security and privacy standards. The best way to deploy, run, and scale MongoDB in the cloud. MongoDB Atlas offers built-in security controls for all your data. Enable enterprise-grade features to integrate with your existing security protocols and compliance standards. With MongoDB Atlas, your data is protected with preconfigured security features for authentication, authorization, encryption, and more.
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    Grafana Cloud

    Grafana Cloud

    Grafana Labs

    Grafana Labs delivers the leading AI-powered observability platform, built around Grafana—the world’s most widely adopted open source technology for dashboards and visualization. Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms, Grafana Labs supports more than 25 million users and thousands of organizations, from startups to the Fortune 500. Grafana Cloud is the open observability cloud, built on open source, open standards, and open ecosystems. Powered by the LGTM stack—Grafana (visualization), Mimir (metrics), Loki (logs) & Tempo (traces)—it unifies telemetry in one platform for full-stack visibility across applications, infrastructure, and digital experiences. With the AI-powered Grafana Assistant and Adaptive Telemetry suite, teams detect and resolve issues faster, reduce wasteful telemetry spend, and gain real-time insights to ensure reliability. Native OTel support and 100s of integrations mean you can plug in existing tools & data sources.
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    AddSearch

    AddSearch

    AddSearch

    AddSearch goes beyond traditional site search with AI Answers and AI Conversations, enabling businesses to deliver direct, conversational, and context-aware responses. Combined with lightning-fast search and smart recommendations, AddSearch helps organizations create personalized, engaging digital experiences across websites and applications. Trusted by nearly 2,000 global customers in Media, Telecommunications, Government, Education, and more. AddSearch offers enterprise-grade features including advanced GenAI capabilities, personalization, advanced analytics, and SLA up to 99.999%. It works with any CMS, supports crawler or API-based indexing, and provides full setup services to save developer time. Built to deliver powerful search with AI Answers and Conversations that elevate digital experiences for website visitors—without adding complexity.
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    StarTree

    StarTree

    StarTree

    StarTree, powered by Apache Pinot™, is a fully managed real-time analytics platform built for customer-facing applications that demand instant insights on the freshest data. Unlike traditional data warehouses or OLTP databases—optimized for back-office reporting or transactions—StarTree is engineered for real-time OLAP at true scale, meaning: - Data Volume: query performance sustained at petabyte scale - Ingest Rates: millions of events per second, continuously indexed for freshness - Concurrency: thousands to millions of simultaneous users served with sub-second latency With StarTree, businesses deliver always-fresh insights at interactive speed, enabling applications that personalize, monitor, and act in real time.
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    Algolia

    Algolia

    Algolia

    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.
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    SearchStax

    SearchStax

    SearchStax

    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
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    Redis

    Redis

    Redis Labs

    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.
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    Amazon ElastiCache
    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.
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    Amazon CloudWatch
    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.
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    Luigi's Box

    Luigi's Box

    Luigi's Box

    Luigi's Box is a search and discovery solution designed specifically for e-commerce websites to improve the customer experience and achieve desired revenue. Search Recommender Product Listing Shopping Assistant Analytics Through years of operation, Luigi's Box earned several awards. Our advanced features helped companies such as Under Armour, Nespresso and Notino to 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 offers a quick and easy integration that doesn’t require deep technical knowledge. You need to just paste the tracking script into the header of your web. We also offer various types of implementation to choose from.
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    IBM Instana
    IBM Instana is the gold standard of incident prevention with automated full-stack visibility, 1-second granularity and 3 seconds to notify. With today’s highly dynamic and complex cloud environments, the average cost of an hour of downtime can reach six figures and beyond. Traditional application performance monitoring (APM) tools simply aren’t fast enough to keep up or thorough enough to contextualize the issues identified. Also, they are typically limited to super users who must complete months of training to learn. IBM Instana Observability goes beyond traditional APM solutions by democratizing observability so anyone across DevOps, SRE, platform engineering, ITOps and development can get the data they want with the context they need. Instana Dynamic APM operates using the Instana agent architecture, which incorporates sensors—lightweight, automated programs tailored to monitor specific entities.
    Starting Price: $75 per month
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    Azure AI Search
    Deliver high-quality responses with a vector database built for advanced retrieval augmented generation (RAG) and modern search. Focus on exponential growth with an enterprise-ready vector database that comes with security, compliance, and responsible AI practices built in. Build better applications with sophisticated retrieval strategies backed by decades of research and customer validation. Quickly deploy your generative AI app with seamless platform and data integrations for data sources, AI models, and frameworks. Automatically upload data from a wide range of supported Azure and third-party sources. Streamline vector data processing with built-in extraction, chunking, enrichment, and vectorization, all in one flow. Support for multivector, hybrid, multilingual, and metadata filtering. Move beyond vector-only search with keyword match scoring, reranking, geospatial search, and autocomplete.
    Starting Price: $0.11 per hour
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    MongoDB

    MongoDB

    MongoDB

    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.
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    AWS Elastic Beanstalk
    AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers such as Apache, Nginx, Passenger, and IIS. You can simply upload your code and Elastic Beanstalk automatically handles the deployment, from capacity provisioning, load balancing, auto-scaling to application health monitoring. At the same time, you retain full control over the AWS resources powering your application and can access the underlying resources at any time. There is no additional charge for Elastic Beanstalk - you pay only for the AWS resources needed to store and run your applications. Elastic Beanstalk is the fastest and simplest way to deploy your application on AWS. You simply use the AWS Management Console, a Git repository, or an integrated development environment (IDE) such as Eclipse or Visual Studio to upload your application.
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    AWS Fargate
    AWS Fargate is a serverless compute engine for containers that works with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). Fargate makes it easy for you to focus on building your applications. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Fargate allocates the right amount of compute, eliminating the need to choose instances and scale cluster capacity. You only pay for the resources required to run your containers, so there is no over-provisioning and paying for additional servers. Fargate runs each task or pod in its own kernel providing the tasks and pods their own isolated compute environment. This enables your application to have workload isolation and improved security by design.
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    Amazon CloudFront
    Amazon CloudFront is a fast content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers globally with low latency, high transfer speeds, all within a developer-friendly environment. CloudFront is integrated with AWS – both physical locations that are directly connected to the AWS global infrastructure, as well as other AWS services. CloudFront works seamlessly with services including AWS Shield for DDoS mitigation, Amazon S3, Elastic Load Balancing or Amazon EC2 as origins for your applications, and Lambda@Edge to run custom code closer to customers’ users and to customize the user experience. Lastly, if you use AWS origins such as Amazon S3, Amazon EC2 or Elastic Load Balancing, you don’t pay for any data transferred between these services and CloudFront. Customize the code you run at the AWS content delivery network (CDN) edge using serverless compute features to balance cost, performance, and security.
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    Piwik PRO

    Piwik PRO

    Piwik PRO

    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.
    Starting Price: $500 per month
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    PromptX

    PromptX

    VE3 Global

    PromptX unifies your data across SharePoint, Google Drive, email, cloud, and legacy systems into a single Enterprise Knowledge System. With AI-Powered Search, users ask conversational questions and get context-aware, verifiable answers in seconds. Auto-ingestion, semantic tagging, smart entity recognition transforms unstructured files, emails, and URLs into Knowledge Cards. Adaptive prompts, split-chat pathways, collaborative workspaces, and agent automations streamline workflows. Deployed across any cloud or hybrid environment, PromptX integrates any LLM or external search engine, PromptX scales to any enterprise, all while providing granular permissions, SSO, audit trails, and built-in AI governance.
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    SearchBlox

    SearchBlox

    SearchBlox Software

    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.
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    Scalyr

    Scalyr

    Scalyr

    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).
    Starting Price: $35/month
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    TimescaleDB

    TimescaleDB

    Tiger Data

    TimescaleDB is the leading time-series database built on PostgreSQL, designed to handle massive volumes of real-time data efficiently. It enables organizations to store, analyze, and query time-series data — such as IoT sensor data, financial transactions, or event logs — using standard SQL. With hypertables, TimescaleDB automatically partitions data by time and ID for fast ingestion and predictable query performance. Its compression engine reduces storage costs by up to 95%, while continuous aggregates make real-time dashboards instantly responsive. Fully compatible with PostgreSQL, it integrates seamlessly with existing tools and applications. TimescaleDB combines the simplicity of Postgres with the scalability and speed of a specialized analytical system.
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    Typesense

    Typesense

    Typesense

    Tailor your results to perfection via flexible and fast query-time sorting. Pin specific records in a particular position to feature or merchandize them. Show results for pants when users search for trousers, or vice-versa, when you define them as synonyms. Store multiple users’ data in a single index, create API keys for each user that restrict access to just their data. Sort records on the fly by any fields in your document. For eg: sort by price, sort by popularity, etc. No duplicate indices needed. Provide more varietry in your results by grouping results. You can combine all color variations of a shirt into a single result. Only fetch records that match a given filter. Aggregate field values and get counts, min, max and avg of values across records. Search & sort results within a certain distance from a latitude/longitude or within a polygon region. Build a resilient production-grade search service, with a few simple steps.
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    Amazon CloudSearch
    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.
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    Amazon DocumentDB
    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).
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    Amazon Kendra
    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.
    Starting Price: $2.50 per hour
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    Amazon OpenSearch Service
    Increase operational excellence by using a popular open source solution, managed by AWS. Audit and secure your data with a data center and network architecture with built-in certifications. Systematically detect potential threats and react to a system’s state through machine learning, alerting, and visualization. Optimize time and resources for strategic work. Securely unlock real-time search, monitoring, and analysis of business and operational data. Amazon OpenSearch Service makes it easy for you to perform interactive log analytics, real-time application monitoring, website search, and more. OpenSearch is an open source, distributed search and analytics suite derived from Elasticsearch. Amazon OpenSearch Service offers the latest versions of OpenSearch, support for 19 versions of Elasticsearch (1.5 to 7.10 versions), as well as visualization capabilities powered by OpenSearch dashboards and Kibana.
    Starting Price: $0.036 per hour
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    ArangoDB

    ArangoDB

    ArangoDB

    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.
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    Azure AI Services
    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.
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    Azure Data Explorer
    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.
    Starting Price: $0.11 per hour
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    dtSearch

    dtSearch

    dtSearch

    dtSearch products instant searching across terabytes of text in a wide range of online and offline data types. Search time (including concurrent search time) is typically less then a second. dtSearch Desktop and dtSearch Network run in a classic Windows environment for individual or shared network-based searching. The dtSearch Engine developer SDK comes in multiple different versions for different platforms. Running in an Internet or Intranet server-based environment, the dtSearch Engine supports efficient multithreaded searching, with no limit on the number of concurrent search threads. Indexing is easy: just point to the folders or online data you want to index. No need to tell dtSearch what files, emails or other content you have; dtSearch will figure that out for itself. dtSearch can build and simultaneously search any number of terabyte indexes.
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    Yext

    Yext

    Yext

    Yext (NYSE: YEXT) helps organizations answer every question about their business. Yext's Answers Platform collects and organizes content into a Knowledge Graph, then leverages a complementary set of products — including Listings, Pages, Reviews, and Search — to deliver relevant, actionable answers wherever customers, employees, and partners look for information. For over 15 years, thousands of companies worldwide have trusted Yext to create seamless content-driven experiences at scale across search engines, websites, mobile apps, and hundreds of other digital touchpoints. Learn more at yext.com.
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    Weaviate

    Weaviate

    Weaviate

    Weaviate is an open-source vector database. It allows you to store data objects and vector embeddings from your favorite ML-models, and scale seamlessly into billions of data objects. Whether you bring your own vectors or use one of the vectorization modules, you can index billions of data objects to search through. Combine multiple search techniques, such as keyword-based and vector search, to provide state-of-the-art search experiences. Improve your search results by piping them through LLM models like GPT-3 to create next-gen search experiences. Beyond search, Weaviate's next-gen vector database can power a wide range of innovative apps. Perform lightning-fast pure vector similarity search over raw vectors or data objects, even with filters. Combine keyword-based search with vector search techniques for state-of-the-art results. Use any generative model in combination with your data, for example to do Q&A over your dataset.
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    Apache Cassandra

    Apache Cassandra

    Apache Software Foundation

    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.
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    Apache Druid
    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.
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    Apache Ignite

    Apache Ignite

    Apache Ignite

    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.
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    Apache Lucene

    Apache Lucene

    Apache Software Foundation

    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.
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    Apache Pinot

    Apache Pinot

    Apache Corporation

    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.
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    Amazon Timestream
    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.
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    Sinequa

    Sinequa

    Sinequa

    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.
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    Site Search 360

    Site Search 360

    Zoovu (Germany) (formerly SEMKNOX)

    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
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    Sphinx

    Sphinx

    Sphinx

    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).
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    Swiftype

    Swiftype

    Swiftype

    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.
    Starting Price: $299.00/month
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    Sumo Logic

    Sumo Logic

    Sumo Logic

    Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. Sumo Logic Cloud SIEM helps your team detect, investigate, and respond to threats with faster behavioral analytics and automation—powered by real-time data and logs-first intelligence. Sumo Logic UEBA baselines user and entity behavior in minutes—training models on historical data to reduce false positives and surface high-risk anomalies.
    Starting Price: $270.00 per month
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    Vertex AI Search
    Google Cloud's Vertex AI Search is a comprehensive, enterprise-grade search and retrieval platform that leverages Google's advanced AI technologies to deliver high-quality search experiences across various applications. It enables organizations to build secure, scalable search solutions for websites, intranets, and generative AI applications. It supports both structured and unstructured data, offering capabilities such as semantic search, vector search, and Retrieval Augmented Generation (RAG) systems, which combine large language models with data retrieval to enhance the accuracy and relevance of AI-generated responses. Vertex AI Search integrates seamlessly with Google's Document AI suite, facilitating efficient document understanding and processing. It also provides specialized solutions tailored to specific industries, including retail, media, and healthcare, to address unique search and recommendation needs.
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    EraSearch

    EraSearch

    Era Software

    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.
    Starting Price: ¢65 per GB
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    Coveo

    Coveo

    Coveo

    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.
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    CrateDB

    CrateDB

    CrateDB

    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.
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    Elastic APM
    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.
    Starting Price: $95 per month
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    Elastic Observability
    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.
    Starting Price: $16 per month
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    ClickHouse

    ClickHouse

    ClickHouse

    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.