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  5. Elasticsearch vs GoDaddy

Elasticsearch vs GoDaddy

OverviewDecisionsComparisonAlternatives

Overview

GoDaddy
GoDaddy
Stacks561
Followers499
Votes11
Elasticsearch
Elasticsearch
Stacks35.5K
Followers27.1K
Votes1.6K

Elasticsearch vs GoDaddy: What are the differences?

Introduction:

Elasticsearch and GoDaddy are two different technology platforms with distinct features and purposes. Understanding the key differences between the two can help in making an informed decision when choosing the appropriate platform for specific needs.

  1. Functionality and Purpose: Elasticsearch is a search engine that is designed for full-text search, structured and unstructured search, as well as analytical queries. On the other hand, GoDaddy is a web hosting service that provides domain registration, website building tools, and hosting solutions for individuals and businesses.

  2. Scalability: Elasticsearch is highly scalable and can handle large volumes of data across multiple nodes, making it suitable for big data applications and enterprise search. In contrast, GoDaddy's scalability is limited to the hosting plans offered, which may have restrictions on traffic, storage, and performance.

  3. Customization and Control: Elasticsearch provides flexibility for customizing search functionality, data indexing, and query optimization through its robust API and configuration options. In comparison, GoDaddy's services are more standardized, with limited customization options, especially for users who prefer more control over their hosting environment.

  4. Pricing Model: Elasticsearch typically follows a subscription-based pricing model based on usage and storage requirements, making it more suitable for businesses with specific search and data analytics needs. In contrast, GoDaddy offers a variety of hosting plans with fixed pricing for different features and resources, catering to individuals and small businesses.

  5. Technical Support: Elasticsearch offers professional support services, including documentation, tutorials, and community forums, to help users troubleshoot issues and optimize their search functionality. GoDaddy also provides customer support, but the level of technical assistance may vary depending on the hosting plan and service tier.

  6. Security Features: Elasticsearch provides security features such as role-based access control, encryption, and auditing capabilities to secure data and prevent unauthorized access. GoDaddy also offers security features like SSL certificates and malware scanning to protect websites and online transactions, but the level of security may differ based on the hosting plan chosen.

In Summary, Elasticsearch and GoDaddy differ in terms of functionality, scalability, customization, pricing, technical support, and security features, catering to different user needs and preferences.

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Advice on GoDaddy, Elasticsearch

Rana Usman
Rana Usman

Chief Technology Officer at TechAvanza

Jun 4, 2020

Needs adviceonFirebaseFirebaseElasticsearchElasticsearchAlgoliaAlgolia

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
André
André

Nov 20, 2020

Needs adviceonElasticsearchElasticsearchAmazon DynamoDBAmazon DynamoDB

Hi, community, I'm planning to build a web service that will perform a text search in a data set off less than 3k well-structured JSON objects containing config data. I'm expecting no more than 20 MB of data. The general traits I need for this search are:

  • Typo tolerant (fuzzy query), so it has to match the entries even though the query does not match 100% with a word on that JSON
  • Allow a strict match mode
  • Perform the search through all the JSON values (it can reach 6 nesting levels)
  • Ignore all Keys of the JSON; I'm interested only in the values.

The only thing I'm researching at the moment is Elasticsearch, and since the rest of the stack is on AWS the Amazon ElasticSearch is my favorite candidate so far. Although, the only knowledge I have on it was fetched from some articles and Q&A that I read here and there. Is ElasticSearch a good path for this project? I'm also considering Amazon DynamoDB (which I also don't know of), but it does not look to cover the requirements of fuzzy-search and ignore the JSON properties. Thank you in advance for your precious advice!

60.3k views60.3k
Comments
Ted
Ted

Computer Science

Dec 19, 2020

Review

I think elasticsearch should be a great fit for that use case. Using the AWS version will make your life easier. With such a small dataset you may also be able to use an in process library for searching and possibly remove the overhead of using a database. I don’t if it fits the bill, but you may also want to look into lucene.

I can tell you that Dynamo DB is definitely not a good fit for your use case. There is no fuzzy matching feature and you would need to have an index for each field you want to search or convert your data into a more searchable format for storing in Dynamo, which is something a full text search tool like elasticsearch is going to do for you.

42.9k views42.9k
Comments

Detailed Comparison

GoDaddy
GoDaddy
Elasticsearch
Elasticsearch

Go Daddy makes registering Domain Names fast, simple, and affordable. It is a trusted domain registrar that empowers people with creative ideas to succeed online.

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).

Private Registration- Keeps your personal information private, protecting you from spam, scams and worse.;GeoDomainMap Tool- Quickly search for and register all the available domain names for a particular area or region (e.g. CedarRapidsCreativeWriters.com).;Internationalized Domain Names (IDN)- Register .COM, .NET, .ORG and other popular domain names in any one of over 100 native languages, ranging from Afrikaans to Vietnamese. Search using English or native character sets.;Domain Transfers- Transfer your domains to Go Daddy – it's fast, automated and risk-free! You keep all the time remaining on your registration and get a 1-year extension at no extra charge.;Domain Backorders- Watch the status of any domain currently registered to someone else. Secure your chance to register that domain when it becomes available by backordering it at special savings.;Bulk domain discounts- SAVE up to 31% when you register or transfer six or more .COMs at once.;Domain Auctions- Bid on, buy and sell high-value domains at Go Daddy Auctions
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
Statistics
Stacks
561
Stacks
35.5K
Followers
499
Followers
27.1K
Votes
11
Votes
1.6K
Pros & Cons
Pros
  • 8
    Flexible payment methods for domains
  • 3
    .io support
Cons
  • 2
    Constantly trying to upsell you
  • 1
    Not a great UI
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
Integrations
No integrations available
Kibana
Kibana
Beats
Beats
Logstash
Logstash

What are some alternatives to GoDaddy, Elasticsearch?

Algolia

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.

DomainRacer

DomainRacer

It is a blazing fast hosting solution that provides Customer Satisfaction driven Web Hosting services since 2016.

Namecheap

Namecheap

We provide a set of DNS servers spread across the US and Europe to deliver highly reliable DNS services to everyone. By choosing Namecheap.com as your domain registrar, you are choosing a highly reputable and reliable partner. Namecheap.com is rated 4.6 out of 5 - Based on 1,395 reviews via Google Checkout

Typesense

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

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

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

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.

Azure Search

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.

iwantmyname

iwantmyname

With iwantmyname, you can purchase 250+ international domain extensions and easily connect your web addresses to the best apps and services on the web, including Google Apps, Squarespace, Bitly, and Ghost.

Swiftype

Swiftype

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

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