Elasticsearch vs Flatsheet vs Google Maps

Overview

Elasticsearch

Stacks35.5K

Followers27.1K

Votes1.6K

Flatsheet

Stacks1

Followers11

Votes0

Google Maps

Stacks42.5K

Followers29.8K

Votes568

Elasticsearch vs Flatsheet vs Google Maps: What are the differences?

### Key Differences between Elasticsearch, Flatsheet, and Google Maps

Elasticsearch is a powerful search engine that excels in document indexing and full-text search, allowing for complex query capabilities and scalability. Flatsheet, on the other hand, is a simple tool for organizing and collaborating on tabular data without the need for a database, making it easy to work with spreadsheets in a team setting. Google Maps is a mapping service that provides detailed maps, satellite imagery, and street views for navigation and location-based services, integrating with various applications for geospatial analysis.

1. **Data Handling**: Elasticsearch focuses on document indexing and search, Flatsheet simplifies tabular data organization, and Google Maps emphasizes location-based services and mapping functionalities.
   
2. **Collaboration**: Flatsheet is designed for collaborative work on spreadsheets, while Elasticsearch and Google Maps are more individual-use focused, primarily for search and mapping.

3. **Complexity**: Elasticsearch offers complex querying capabilities and scalability, while Flatsheet and Google Maps provide user-friendly interfaces with simpler functionalities for data organization and mapping.

4. **Query Capabilities**: Elasticsearch allows for extensive query customization and filtering options, whereas Google Maps offers location-based search and routing features, and Flatsheet focuses on basic spreadsheet operations.

5. **Integration**: Google Maps provides extensive integration possibilities with various applications for geospatial analysis and mapping services, while Elasticsearch and Flatsheet are more standalone tools with limited integration options.

6. **Data Representation**: Elasticsearch focuses on structured data representation for search indexing, Flatsheet is centered around tabular data presentation, and Google Maps visualizes location-based information on interactive maps.

In Summary, Elasticsearch, Flatsheet, and Google Maps each have distinct focuses on search indexing, tabular data organization, and mapping services, respectively.

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Advice on Elasticsearch, Flatsheet, Google Maps

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!

408k views408k

Comments

StackShare

Apr 4, 2019

Needs advice

From a StackShare Community member: "We're a team of two starting to write a mobile app. The app will heavily rely on maps and this is where my partner and I are not seeing eye-to-eye. I would like to go with an open source solution like OpenStreetMap that is used by Apple & Foursquare. He would like to go with Google Maps since more apps use it and has better support (according to him). Mapbox is also an option but I don’t know much about it."

183k views183k

Comments

Detailed Comparison

Elasticsearch	Flatsheet	Google Maps
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).	Flatsheet is a tool for managing tabular data with a friendly editor and a simple JSON API. The editor allows the creation of rows and columns of data, similar to a spreadsheet. The JSON API exposes that data so it can be easily utilized by websites and applications.	Create rich applications and stunning visualisations of your data, leveraging the comprehensiveness, accuracy, and usability of Google Maps and a modern web platform that scales as you grow.
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	-	Maps Image APIs;Places API;Web Services;Google Earth API;Maps API Licensing;Google Maps API for Work
Statistics
Stacks 35.5K	Stacks 1	Stacks 42.5K
Followers 27.1K	Followers 11	Followers 29.8K
Votes 1.6K	Votes 0	Votes 568
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	No community feedback yet	Pros 253 Free 136 Address input through maps api 82 Sharable Directions 47 Google Earth 46 Unique Cons 5 Google Attributions and logo 2 Only map allowed alongside google place autocomplete
Integrations
Kibana Beats Logstash	No integrations available	No integrations available

What are some alternatives to Elasticsearch, Flatsheet, Google Maps?

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.

Mapbox

We make it possible to pin travel spots on Pinterest, find restaurants on Foursquare, and visualize data on GitHub.

Leaflet

Leaflet is an open source JavaScript library for mobile-friendly interactive maps. It is developed by Vladimir Agafonkin of MapBox with a team of dedicated contributors. Weighing just about 30 KB of gzipped JS code, it has all the features most developers ever need for online maps.

OpenStreetMap

OpenStreetMap is built by a community of mappers that contribute and maintain data about roads, trails, cafés, railway stations, and much more, all over the world.

OpenLayers

An opensource javascript library to load, display and render maps from multiple sources on web pages.

Airtable

Working with Airtable is as fast and easy as editing a spreadsheet. But only Airtable is backed by the power of a full database, giving you rich features far beyond what a spreadsheet can offer.

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.

Related Comparisons

Elasticsearch vs Flatsheet vs Google Maps: What are the differences?

### Key Differences between Elasticsearch, Flatsheet, and Google Maps

Elasticsearch is a powerful search engine that excels in document indexing and full-text search, allowing for complex query capabilities and scalability. Flatsheet, on the other hand, is a simple tool for organizing and collaborating on tabular data without the need for a database, making it easy to work with spreadsheets in a team setting. Google Maps is a mapping service that provides detailed maps, satellite imagery, and street views for navigation and location-based services, integrating with various applications for geospatial analysis.

1. **Data Handling**: Elasticsearch focuses on document indexing and search, Flatsheet simplifies tabular data organization, and Google Maps emphasizes location-based services and mapping functionalities.
   
2. **Collaboration**: Flatsheet is designed for collaborative work on spreadsheets, while Elasticsearch and Google Maps are more individual-use focused, primarily for search and mapping.

3. **Complexity**: Elasticsearch offers complex querying capabilities and scalability, while Flatsheet and Google Maps provide user-friendly interfaces with simpler functionalities for data organization and mapping.

4. **Query Capabilities**: Elasticsearch allows for extensive query customization and filtering options, whereas Google Maps offers location-based search and routing features, and Flatsheet focuses on basic spreadsheet operations.

5. **Integration**: Google Maps provides extensive integration possibilities with various applications for geospatial analysis and mapping services, while Elasticsearch and Flatsheet are more standalone tools with limited integration options.

6. **Data Representation**: Elasticsearch focuses on structured data representation for search indexing, Flatsheet is centered around tabular data presentation, and Google Maps visualizes location-based information on interactive maps.

In Summary, Elasticsearch, Flatsheet, and Google Maps each have distinct focuses on search indexing, tabular data organization, and mapping services, respectively.

Elasticsearch vs Flatsheet vs Google Maps

Overview