Azure Search vs Found Elasticsearch vs Swiftype
Overview
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Detailed Comparison
Swiftype is the easiest way to add great search to your website or mobile application. | Create your own fully managed and hosted Elasticsearch cluster. You get a dedicated cluster with reserved memory, giving you predictable performance. There are no arbitrary limits on how many indexes or documents you can store. Scale your clusters as and when needed, without any downtime. | 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. |
Quick Start- Install by pasting a JavaScript snippet in your page.;Autocomplete- our search engines come with autocomplete built-in;Detailed Analytics- Our built-in search analytics give you real-time insight into what your users are looking for.;Custom Result Ranking- Drag-and-drop results to re-order them.;VIP-approved WordPress search plugin- Just install the plugin and your ready to go.;Great Mobile Support- Our search works great in mobile browsers, and our native iOS and Android SDKs make app integration a breeze.;Advanced Developer API- Our Developer API gives you low-level access to our search technology. | Hosted and managed: You get your own fully hosted and managed Elasticsearch cluster. No need to host and maintain your own costly search infrastructure.; Reserved Memory and storage: Your clusters get reserved memory and storage. No shared clusters and no arbitrary limits on how many indexes or documents you can store.; Scalable and flexible: Start small, grow big. You can scale your cluster as and when needed, without any downtime. There are several Elasticsearch versions to choose from, and upgrading is easier than ever.; Developer friendly: Our HTTPS API is developer-friendly and existing Elasticsearch libraries such as Tire, PyES and others works out of the box. We even provide an unmodified Elasticsearch API, so for those who have an existing Elasticsearch integration it is easy to start using Found.; Security: Communication to and from our service is securely transmitted over HTTPS (SSL) and your data is stored behind multiple firewalls and proxies. All clusters run in isolated containers (LXC) and customizable ACLs allow for restricting access to trusted people and hosts.; Availability: For production and mission critical environments we provide replication and automatic failover, protecting your cluster against unplanned downtime. In addition, data is continuously backed up to Amazon S3. In the event of a datacenter failure, your cluster is automatically failed over to a working datacenter or, in the case of a catastrophic event, rebuilt from backup.; Multi region: Found Elasticsearch is available in multiple regions.; Found Elasticsearch is also available on Heroku, AppHarbor and CloudControl. | Powerful, reliable performance;Easily tune search indices to meet business goals;Scale out simply;Enable sophisticated search functionality;Get up and running quickly;Simplify search index management |
Statistics | ||
Stacks 192 | Stacks 11 | Stacks 84 |
Followers 96 | Followers 15 | Followers 224 |
Votes 11 | Votes 0 | Votes 16 |
Pros & Cons | ||
Pros
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| No community feedback yet | Pros
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Integrations | ||
| No integrations available | No integrations available | |
What are some alternatives to Swiftype, Found Elasticsearch, Azure Search?
Elasticsearch
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).
Algolia
Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.
Typesense
It is an open source, typo tolerant search engine that delivers fast and relevant results out-of-the-box. has been built from scratch to offer a delightful, out-of-the-box search experience. From instant search to autosuggest, to faceted search, it has got you covered.
Amazon CloudSearch
Amazon CloudSearch enables you to search large collections of data such as web pages, document files, forum posts, or product information. With a few clicks in the AWS Management Console, you can create a search domain, upload the data you want to make searchable to Amazon CloudSearch, and the search service automatically provisions the required technology resources and deploys a highly tuned search index.
Amazon Elasticsearch Service
Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time.
Manticore Search
It is a full-text search engine written in C++ and a fork of Sphinx Search. It's designed to be simple to use, light and fast, while allowing advanced full-text searching. Connectivity is provided via a MySQL compatible protocol or HTTP, making it easy to integrate.
MeiliSearch
It is a powerful, fast, open-source, easy to use, and deploy search engine. The search and indexation are fully customizable and handles features like typo-tolerance, filters, and synonyms.
Quickwit
It is the next-gen search & analytics engine built for logs. It is designed from the ground up to offer cost-efficiency and high reliability on large data sets. Its benefits are most apparent in multi-tenancy or multi-index settings.
Bonsai
Your customers expect fast, near-magical results from your search. Help them find what they’re looking for with Bonsai Elasticsearch. Our fully managed Elasticsearch solution makes it easy to create, manage, and test your app's search.
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.
