AddSearch vs Elasticsearch

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AddSearch

9
17
+ 1
0
Elasticsearch

34K
26.5K
+ 1
1.6K
Add tool

Elasticsearch vs AddSearch: What are the differences?

Developers describe Elasticsearch as "Open Source, Distributed, RESTful Search Engine". 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). On the other hand, AddSearch is detailed as "The almighty search platform for all your web content". We help your website visitors find what they are looking for. AddSearch is a lightning fast, accurate and customizable site search engine with a Search API. AddSearch works on all devices and is easy to install, customize and tweak.

Elasticsearch and AddSearch can be primarily classified as "Search as a Service" tools.

Some of the features offered by Elasticsearch are:

  • Distributed and Highly Available Search Engine.
  • Multi Tenant with Multi Types.
  • Various set of APIs including RESTful

On the other hand, AddSearch provides the following key features:

  • Manage Search Results - Guide website visitors to the pages that matter most
  • Analyze Search Intent - Your website is your main asset. Uncover what your visitors are searching for
  • AddSearch for All Platforms - We support any platform from legacy systems to state of the art Single Page Applications

Elasticsearch is an open source tool with 45K GitHub stars and 15.2K GitHub forks. Here's a link to Elasticsearch's open source repository on GitHub.

Advice on AddSearch and Elasticsearch
Rana Usman Shahid
Chief Technology Officer at TechAvanza · | 6 upvotes · 370.3K views
Needs advice
on
AlgoliaAlgoliaElasticsearchElasticsearch
and
FirebaseFirebase

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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Replies (2)
Josh Dzielak
Co-Founder & CTO at Orbit · | 8 upvotes · 275.2K views
Recommends
on
AlgoliaAlgolia

Hi Rana, good question! From my Firebase experience, 3 million records is not too big at all, as long as the cost is within reason for you. With Firebase you will be able to access the data from anywhere, including an android app, and implement fine-grained security with JSON rules. The real-time-ness works perfectly. As a fully managed database, Firebase really takes care of everything. The only thing to watch out for is if you need complex query patterns - Firestore (also in the Firebase family) can be a better fit there.

To answer question 2: the right answer will depend on what's most important to you. Algolia is like Firebase is that it is fully-managed, very easy to set up, and has great SDKs for Android. Algolia is really a full-stack search solution in this case, and it is easy to connect with your Firebase data. Bear in mind that Algolia does cost money, so you'll want to make sure the cost is okay for you, but you will save a lot of engineering time and never have to worry about scale. The search-as-you-type performance with Algolia is flawless, as that is a primary aspect of its design. Elasticsearch can store tons of data and has all the flexibility, is hosted for cheap by many cloud services, and has many users. If you haven't done a lot with search before, the learning curve is higher than Algolia for getting the results ranked properly, and there is another learning curve if you want to do the DevOps part yourself. Both are very good platforms for search, Algolia shines when buliding your app is the most important and you don't want to spend many engineering hours, Elasticsearch shines when you have a lot of data and don't mind learning how to run and optimize it.

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Mike Endale
Recommends
on
Cloud FirestoreCloud Firestore

Rana - we use Cloud Firestore at our startup. It handles many million records without any issues. It provides you the same set of features that the Firebase Realtime Database provides on top of the indexing and security trims. The only thing to watch out for is to make sure your Cloud Functions have proper exception handling and there are no infinite loop in the code. This will be too costly if not caught quickly.

For search; Algolia is a great option, but cost is a real consideration. Indexing large number of records can be cost prohibitive for most projects. Elasticsearch is a solid alternative, but requires a little additional work to configure and maintain if you want to self-host.

Hope this helps.

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Pros of AddSearch
Pros of Elasticsearch
    Be the first to leave a pro
    • 327
      Powerful api
    • 315
      Great search engine
    • 230
      Open source
    • 214
      Restful
    • 199
      Near real-time search
    • 97
      Free
    • 84
      Search everything
    • 54
      Easy to get started
    • 45
      Analytics
    • 26
      Distributed
    • 6
      Fast search
    • 5
      More than a search engine
    • 3
      Highly Available
    • 3
      Awesome, great tool
    • 3
      Great docs
    • 3
      Easy to scale
    • 2
      Fast
    • 2
      Easy setup
    • 2
      Great customer support
    • 2
      Intuitive API
    • 2
      Great piece of software
    • 2
      Reliable
    • 2
      Potato
    • 2
      Nosql DB
    • 2
      Document Store
    • 1
      Not stable
    • 1
      Scalability
    • 1
      Open
    • 1
      Github
    • 1
      Elaticsearch
    • 1
      Actively developing
    • 1
      Responsive maintainers on GitHub
    • 1
      Ecosystem
    • 1
      Easy to get hot data
    • 0
      Community

    Sign up to add or upvote prosMake informed product decisions

    Cons of AddSearch
    Cons of Elasticsearch
      Be the first to leave a con
      • 7
        Resource hungry
      • 6
        Diffecult to get started
      • 5
        Expensive
      • 4
        Hard to keep stable at large scale

      Sign up to add or upvote consMake informed product decisions

      What is AddSearch?

      We help your website visitors find what they are looking for. AddSearch is a lightning fast, accurate and customizable site search engine with a Search API. AddSearch works on all devices and is easy to install, customize and tweak.

      What is 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).

      Need advice about which tool to choose?Ask the StackShare community!

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      Blog Posts

      May 21 2019 at 12:20AM

      Elastic

      ElasticsearchKibanaLogstash+4
      12
      5166
      GitHubPythonReact+42
      49
      40728
      GitHubPythonNode.js+47
      54
      72317
      What are some alternatives to AddSearch and Elasticsearch?
      Swiftype
      Swiftype is the easiest way to add great search to your website or mobile application.
      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.
      Sphinx
      It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.
      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.
      Google
      Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for.
      See all alternatives