Azure Cognitive Search vs Azure Search

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Azure Cognitive Search vs Azure Search: What are the differences?


Azure Cognitive Search and Azure Search are both cloud-based search services offered by Microsoft. They enable developers to build powerful search solutions with features like full-text search, faceted navigation, and customizable ranking. While they share many similarities, there are key differences between the two services that sets them apart.

  1. Data enrichment capabilities: Azure Cognitive Search offers advanced AI capabilities, allowing developers to extract insights from unstructured content using cognitive skills, which includes optical character recognition (OCR), entity recognition, and language detection. This enables better search relevance and more comprehensive search experiences. In contrast, Azure Search does not include these AI capabilities by default, making it more suitable for simpler search requirements without the need for data enrichment.

  2. Cognitive Services integration: Azure Cognitive Search is tightly integrated with Azure Cognitive Services, a suite of AI and machine learning APIs. This integration enables developers to leverage the power of pre-trained models and APIs for tasks like image recognition, text analytics, and speech-to-text conversion within their search solutions. On the other hand, Azure Search does not provide this level of integration with Azure Cognitive Services.

  3. Pricing model: Azure Cognitive Search has a different pricing model compared to Azure Search. With Azure Cognitive Search, you pay for the number of documents you index and the amount of data you store, along with the cognitive services utilized. In contrast, Azure Search has a pricing model based on the number of indexes and indexers you create, along with the amount of data stored. This distinction is important when choosing between the two services, depending on your specific requirements and budget.

  4. Geo-replication capabilities: Azure Cognitive Search offers built-in geo-replication for higher availability and disaster recovery. This ensures that your search index and data are replicated across multiple Azure data centers, providing resilience and reducing the risk of data loss. In comparison, Azure Search does not natively provide this geo-replication feature, requiring additional configuration and management for achieving similar levels of availability.

  5. Search scaling options: Azure Cognitive Search provides automatic scaling options to handle increased search query traffic. It can scale based on the query traffic and target response times, distributing the load across multiple replicas. In contrast, Azure Search requires manual scaling, where you need to provision and manage the number of search units based on your expected query loads. This difference in scaling options can impact the performance and cost-effectiveness of the search solution.

  6. Availability of private endpoints: Azure Cognitive Search supports private endpoints, which allow you to securely access your search service over a private network connection or virtual network (VNet). This provides enhanced security by eliminating exposure to the public internet. Azure Search, however, does not have native support for private endpoints, making it more suitable for scenarios where internet access is permissible.

In summary, Azure Cognitive Search offers advanced AI capabilities, deep integration with Azure Cognitive Services, a different pricing model, built-in geo-replication, automatic search scaling, and support for private endpoints. On the other hand, Azure Search is a more lightweight option without AI capabilities, simpler pricing, and requires manual scaling.

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Pros of Azure Cognitive Search
Pros of Azure Search
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  • 4
    Easy to set up
  • 3
  • 3
  • 2
    Easy Setup
  • 2
    More languages
  • 2
    Lucene based search criteria

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What is Azure Cognitive Search?

It 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.

What is Azure Search?

Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios.

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What tools integrate with Azure Cognitive Search?
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What are some alternatives to Azure Cognitive Search and Azure Search?
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.
See all alternatives