Elastic Cloud聽vs聽Elasticsearch

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

Elastic Cloud

52
52
+ 1
0
Elasticsearch

26K
19.6K
+ 1
1.6K
Add tool
Advice on Elastic Cloud and Elasticsearch
Rana Usman Shahid
Chief Technology Officer at TechAvanza | 5 upvotes 路 166.6K views
Needs advice
on
FirebaseFirebaseElasticsearchElasticsearch
and
AlgoliaAlgolia

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!

See more
Replies (2)
Josh Dzielak
Co-Founder & CTO at Orbit | 7 upvotes 路 126.8K views
Recommends
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.

See more
Mike Endale
Recommends
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.

See more
Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of Elastic Cloud
Pros of Elasticsearch
    Be the first to leave a pro
    • 321
      Powerful api
    • 311
      Great search engine
    • 231
      Open source
    • 213
      Restful
    • 200
      Near real-time search
    • 96
      Free
    • 83
      Search everything
    • 54
      Easy to get started
    • 45
      Analytics
    • 26
      Distributed
    • 6
      Fast search
    • 5
      More than a search engine
    • 3
      Great docs
    • 3
      Awesome, great tool
    • 3
      Easy to scale
    • 2
      Document Store
    • 2
      Nosql DB
    • 2
      Great piece of software
    • 2
      Great customer support
    • 2
      Intuitive API
    • 2
      Fast
    • 2
      Easy setup
    • 2
      Highly Available
    • 1
      Not stable
    • 1
      Scalability
    • 1
      Open
    • 1
      Reliable
    • 1
      Github
    • 1
      Elaticsearch
    • 1
      Actively developing
    • 1
      Responsive maintainers on GitHub
    • 1
      Ecosystem
    • 1
      Easy to get hot data
    • 1
      Potato
    • 0
      Community

    Sign up to add or upvote prosMake informed product decisions

    Cons of Elastic Cloud
    Cons of Elasticsearch
      Be the first to leave a con
      • 6
        Resource hungry
      • 6
        Diffecult to get started
      • 5
        Expensive
      • 3
        Hard to keep stable at large scale

      Sign up to add or upvote consMake informed product decisions

      - No public GitHub repository available -

      What is Elastic Cloud?

      A growing family of Elastic SaaS offerings that make it easy to deploy, operate, and scale Elastic products and solutions in the cloud. From an easy-to-use hosted and managed Elasticsearch experience to powerful, out-of-the-box search solutions.

      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!

      What companies use Elastic Cloud?
      What companies use Elasticsearch?
      See which teams inside your own company are using Elastic Cloud or Elasticsearch.
      Sign up for Private StackShareLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Elastic Cloud?
      What tools integrate with Elasticsearch?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      Blog Posts

      May 21 2019 at 12:20AM

      Elastic

      ElasticsearchKibanaLogstash+4
      12
      3277
      GitHubPythonReact+42
      47
      39386
      GitHubPythonNode.js+47
      50
      69419
      What are some alternatives to Elastic Cloud and Elasticsearch?
      logz.io
      It provides Elasticsearch, Logstash and Kibana on the cloud with alerts, unlimited scalability and free ELK apps. Index, search & visualize your data.
      Cloud Foundry
      Cloud Foundry is an open platform as a service (PaaS) that provides a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications.
      Amazon EC2
      It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.
      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.
      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.
      See all alternatives