Elasticsearch vs Manticore Search

Overview

Elasticsearch

Stacks35.5K

Followers27.1K

Votes1.6K

Manticore Search

Stacks10

Followers21

Votes22

GitHub Stars11.4K

Forks619

Elasticsearch vs Manticore Search: What are the differences?

Elasticsearch and Manticore Search are both powerful search engines that can be used to index and analyze large amounts of data, but they have some key differences.

Data Structures and Indexing: Elasticsearch uses an inverted index, which allows for quick searching and retrieval of data. Manticore Search, on the other hand, uses a hybrid data structure known as a inverted index with a disk-based hash table. This provides a more efficient indexing process and allows for faster data retrieval.
Full-text Search Features: Elasticsearch offers a wide range of full-text search features, including tokenization, stemming, and relevance scoring. Manticore Search, however, takes full-text search to another level with support for advanced features like faceted search, infix search, and indexing of custom data types.
Scalability: Both Elasticsearch and Manticore Search are designed to be scalable, but Elasticsearch has a more mature and robust clustering mechanism. It provides built-in features for horizontal scaling and automatic load balancing, making it better suited for larger deployments and high-volume search applications.
Query Language: Elasticsearch uses the Query DSL (Domain Specific Language) for querying, which is a powerful and flexible way to construct complex queries. Manticore Search, on the other hand, uses a simplified version of the SQL language, making it easier for developers familiar with SQL to get started.
Faceting and Aggregation: Elasticsearch has extensive support for faceting and aggregation, allowing users to extract valuable insights from their data. Manticore Search also supports faceting and aggregation, but the functionality is not as comprehensive as Elasticsearch's.
Logging and Monitoring: Elasticsearch provides a comprehensive logging and monitoring system, which includes built-in tools like the Elasticsearch Monitoring API and the Elastic Stack. Manticore Search, while it does have some logging and monitoring capabilities, does not have the same level of built-in tools and integration options as Elasticsearch.

In Summary, Elasticsearch and Manticore Search differ in terms of data structures and indexing, full-text search features, scalability, query language, faceting and aggregation capabilities, and logging and monitoring options.

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Advice on Elasticsearch, Manticore Search

Rana Usman

Chief Technology Officer at TechAvanza

Jun 4, 2020

Needs adviceon

Firebase

Elasticsearch

Algolia

Hey everybody! (1) I am developing an android application. I have data of around 3 million record (less than a TB). I want to save that data in the cloud. Which company provides the best cloud database services that would suit my scenario? It should be secured, long term useable, and provide better services. I decided to use Firebase Realtime database. Should I stick with Firebase or are there any other companies that provide a better service?

(2) I have the functionality of searching data in my app. Same data (less than a TB). Which search solution should I use in this case? I found Elasticsearch and Algolia search. It should be secure and fast. If any other company provides better services than these, please feel free to suggest them.

Thank you!

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Comments

Detailed Comparison

Elasticsearch	Manticore 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).	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.
Distributed and Highly Available Search Engine;Multi Tenant with Multi Types;Various set of APIs including RESTful;Clients available in many languages including Java, Python, .NET, C#, Groovy, and more;Document oriented;Reliable, Asynchronous Write Behind for long term persistency;(Near) Real Time Search;Built on top of Apache Lucene;Per operation consistency;Inverted indices with finite state transducers for full-text querying;BKD trees for storing numeric and geo data;Column store for analytics;Compatible with Hadoop using the ES-Hadoop connector;Open Source under Apache 2 and Elastic License	Full-text searching; RealTIme indexing; Facets; Percolate Queries; Distributed indexes; JSON attributes
Statistics
GitHub Stars -	GitHub Stars 11.4K
GitHub Forks -	GitHub Forks 619
Stacks 35.5K	Stacks 10
Followers 27.1K	Followers 21
Votes 1.6K	Votes 22
Pros & Cons
Pros 329 Powerful api 315 Great search engine 231 Open source 214 Restful 200 Near real-time search Cons 7 Resource hungry 6 Diffecult to get started 5 Expensive 4 Hard to keep stable at large scale	Pros 2 Distributed 2 Lightweight 2 Low RAM consumption 2 Open source 2 Easy to scale
Integrations
Kibana Beats Logstash	No integrations available

What are some alternatives to Elasticsearch, Manticore Search?

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.

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.

Swiftype

Swiftype is the easiest way to add great search to your website or mobile application.

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.

Related Comparisons

Elasticsearch vs Manticore Search: What are the differences?

Elasticsearch and Manticore Search are both powerful search engines that can be used to index and analyze large amounts of data, but they have some key differences.

Data Structures and Indexing: Elasticsearch uses an inverted index, which allows for quick searching and retrieval of data. Manticore Search, on the other hand, uses a hybrid data structure known as a inverted index with a disk-based hash table. This provides a more efficient indexing process and allows for faster data retrieval.
Full-text Search Features: Elasticsearch offers a wide range of full-text search features, including tokenization, stemming, and relevance scoring. Manticore Search, however, takes full-text search to another level with support for advanced features like faceted search, infix search, and indexing of custom data types.
Scalability: Both Elasticsearch and Manticore Search are designed to be scalable, but Elasticsearch has a more mature and robust clustering mechanism. It provides built-in features for horizontal scaling and automatic load balancing, making it better suited for larger deployments and high-volume search applications.
Query Language: Elasticsearch uses the Query DSL (Domain Specific Language) for querying, which is a powerful and flexible way to construct complex queries. Manticore Search, on the other hand, uses a simplified version of the SQL language, making it easier for developers familiar with SQL to get started.
Faceting and Aggregation: Elasticsearch has extensive support for faceting and aggregation, allowing users to extract valuable insights from their data. Manticore Search also supports faceting and aggregation, but the functionality is not as comprehensive as Elasticsearch's.
Logging and Monitoring: Elasticsearch provides a comprehensive logging and monitoring system, which includes built-in tools like the Elasticsearch Monitoring API and the Elastic Stack. Manticore Search, while it does have some logging and monitoring capabilities, does not have the same level of built-in tools and integration options as Elasticsearch.

Elasticsearch vs Manticore Search

Overview