Amazon Kinesis Firehose vs DodgerCMS vs Elasticsearch

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Amazon Kinesis Firehose

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DodgerCMS

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Elasticsearch

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Advice on Amazon Kinesis Firehose, DodgerCMS, and Elasticsearch
Rana Usman Shahid
Chief Technology Officer at TechAvanza · | 6 upvotes · 370.2K 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 · 275K 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 Amazon Kinesis Firehose
Pros of DodgerCMS
Pros of Elasticsearch
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      • 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

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      Cons of Amazon Kinesis Firehose
      Cons of DodgerCMS
      Cons of Elasticsearch
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          • 7
            Resource hungry
          • 6
            Diffecult to get started
          • 5
            Expensive
          • 4
            Hard to keep stable at large scale

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          What is Amazon Kinesis Firehose?

          Amazon Kinesis Firehose is the easiest way to load streaming data into AWS. It can capture and automatically load streaming data into Amazon S3 and Amazon Redshift, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today.

          What is DodgerCMS?

          DodgerCMS is a static markdown CMS built on top of Amazon S3. It is a clean and simple alternative to heavy content management systems. There are no databases to manage, deployments to monitor, or massive configuration files. Just focus on writing your content and the results are live immediately.

          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).

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            May 21 2019 at 12:20AM

            Elastic

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            What are some alternatives to Amazon Kinesis Firehose, DodgerCMS, and Elasticsearch?
            Stream
            Stream allows you to build scalable feeds, activity streams, and chat. Stream’s simple, yet powerful API’s and SDKs are used by some of the largest and most popular applications for feeds and chat. SDKs available for most popular languages.
            Kafka
            Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
            Amazon Kinesis
            Amazon Kinesis can collect and process hundreds of gigabytes of data per second from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data.
            Google Cloud Dataflow
            Google Cloud Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.
            See all alternatives