Elasticsearch聽vs聽EmailListValidation聽vs聽HackerOne

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

Elasticsearch

24.4K
18.3K
+ 1
1.6K
EmailListValidation

3
16
+ 1
0
HackerOne

62
139
+ 1
20
Advice on Elasticsearch, EmailListValidation, and HackerOne
Rana Usman Shahid
Chief Technology Officer at TechAvanza | 5 upvotes 路 128.4K views
Needs advice
on
Firebase
Elasticsearch
and
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!

See more
Replies (2)
Josh Dzielak
Co-Founder & CTO at Orbit | 5 upvotes 路 96.2K views
Recommends
Algolia

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 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 Elasticsearch
Pros of EmailListValidation
Pros of HackerOne
  • 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
    Intuitive API
  • 2
    Great piece of software
  • 2
    Fast
  • 2
    Nosql DB
  • 2
    Easy setup
  • 2
    Highly Available
  • 2
    Document Store
  • 2
    Great customer support
  • 1
    Reliable
  • 1
    Not stable
  • 1
    Potato
  • 1
    Open
  • 1
    Github
  • 1
    Elaticsearch
  • 1
    Actively developing
  • 1
    Responsive maintainers on GitHub
  • 1
    Ecosystem
  • 1
    Scalability
  • 0
    Easy to get hot data
  • 0
    Community
    Be the first to leave a pro
    • 5
      Security Response
    • 4
      Bug Bounty Platform
    • 4
      Insight
    • 4
      Security Inbox
    • 3
      Flexibility and control

    Sign up to add or upvote prosMake informed product decisions

    Cons of Elasticsearch
    Cons of EmailListValidation
    Cons of HackerOne
    • 6
      Diffecult to get started
    • 5
      Resource hungry
    • 4
      Expensive
    • 3
      Hard to keep stable at large scale
      Be the first to leave a con
        Be the first to leave a con

        Sign up to add or upvote consMake informed product decisions

        No Stats
        - No public GitHub repository available -
        - No public GitHub repository available -

        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).

        What is EmailListValidation?

        Email list verify provides a 97% match rate and no false positives. You can verify emails within your application or website with our real-time API.

        What is HackerOne?

        Someone has found a potential security issue with your technology. What happens next? Making certain this discovery leads to a positive outcome for everyone involved is crucial. Replacing an antiquated security@ mailbox with the HackerOne platform brings order and control to an otherwise chaotic process.

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

        What companies use Elasticsearch?
        What companies use EmailListValidation?
        What companies use HackerOne?
          No companies found

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

          What tools integrate with Elasticsearch?
          What tools integrate with EmailListValidation?
          What tools integrate with HackerOne?
            No integrations found

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

            Blog Posts

            May 21 2019 at 12:20AM

            Elastic

            +4
            12
            2966
            +42
            46
            39070
            +47
            46
            68804
            +30
            25
            15038
            What are some alternatives to Elasticsearch, EmailListValidation, and HackerOne?
            Datadog
            Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
            Solr
            Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
            Lucene
            Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
            MongoDB
            MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
            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.
            See all alternatives