6 Tips for Choosing Between AWS Elasticsearch and a Custom Elasticsearch Solution

Implementing a big data platform is a significant investment. We know the process can be intimidating, and, at times, confusing.

We broke down the thought process for choosing between AWS Elasticsearch and a custom Elasticsearch solution here to help you think through what will be right for you and your team.

If you are a current AWS Elasticsearch user, check out our AWS Elasticsearch Price and Performance Audit page.  We work with companies to significantly reduce their AWS Elasticsearch costs while improving performance, without any upfront costs or fees.


Dattell: Works with clients to build a complete big data platform including messaging, transformation, database and presentation layers.

AWS Elasticsearch: Provides a hosted database solution that is designed to meet general requirements.

These first differences are key because they influence much of how the final solution will function and affects the cost and timing.

If you are in a pinch and need only a generic database by the end of the week, AWS Elasticsearch might be the right solution. At Dattell, we build comprehensive solutions, efficiently and effectively. We probably can’t get it running for you by the end of the week, but we could create a pilot in that time. In general, it takes us two to four weeks to build a platform depending on the requirements.

Remember, this project is an investment and will be used for a long time. When choosing a solution, ensure that it is one that sets you up for success.

Did you know that Dattell offers Elasticsearch as a Service?

Dattell’s Elasticsearch as a Service is a fully managed Elasticsearch solution built on your cloud instances or On-Prem servers, providing enhanced security, reduced latency, and reduced costs.

Learn about Elasticsearch as a Service


  1. Security
    Dattell: Secure transportation of data. secure backups of data in original and database form. secure databases. secure presentation.
    AWS: Secure backups in database form, secure databases, secure presentation.
  2. Quality
    Dattell: Client’s needs define the product.
    AWS: Client’s needs are compared against a list of supported features.
  3. Freedom
    Dattell: Free from vendor lock in. Our open source products are supported by many other companies and work in any environment/cloud.
    AWS: Only supported by AWS in AWS cloud infrastructure.
  4. Auditability
    Dattell: Our clients have the ability to review or have a third party review any part of our implementation.
    AWS: You must have faith in the vendor’s claims.
  5. Speed
    Dattell: It will take us roughly two to four weeks to build the platform.
    AWS: They can offer a solution more quickly because it is pre-built and only includes the database.
  6. Cost
    Dattell: Our flexibility allows us to create a big data platform that meets exactly your requirements, saving on average 73% on server fees over hosted AWS Elasticsearch.
    AWS: It is a fixed cost based off general requirements lacking features such as high variable server size and hot/warm/cold architecture.

Still have questions about Elasticsearch? Connect with one of our Elasticsearch engineers.

Talk to an Elasticsearch Expert



Click to learn about Dattell’s Elasticsearch as a Service.

24/7 Monitoring, Built on Your Servers or Cloud Instances for Unmatched Data Authority, Reduced Latency, and Reduced Costs.

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