What is Elasticsearch development?

Elasticsearch is a powerful, open-source search and analytics engine. So, Elasticsearch development refers to the practice of using this technology to enhance web solutions with features such as text searching, real-time data analysis, and scalable storage.

These valuable data-related implementations make Elasticsearch a top choice for companies seeking to make smart, data-driven decisions that lead to concrete and measurable results.

3 core reasons to invest in a search and analytics engine


Enhanced user experience

Providing users with seamless and efficient access to information is vital for product success. A robust search and analytics engine is pivotal in achieving this goal. It empowers users to swiftly find the information they seek, resulting in higher engagement and satisfaction.

Increased conversions

Regardless of your desired user action, whether it’s subscribing to a service or making a purchase, a search and analytics engine can significantly boost your conversions. The reason is straightforward: people are far more likely to take action when they can effortlessly access content or products they need.

Valuable insights

With proper search and analytics technology, you gain valuable insights into user behavior and trends. Furthermore, you can employ this technology to access other business data by analyzing databases and extracting useful information. This way, you learn about the most frequent patterns in your business so that you can make smart, data-driven decisions and optimize processes.

Key benefits of Elasticsearch development

Elasticsearch offers a plethora of advantages.

Fast performance

Thanks to its indexing and querying capabilities, the Elasticsearch engine delivers rapid search results. This enables you to use Elasticsearch for real-time, highly performative tasks such as log analysis or dynamic content recommendations.

Easily scalable

Elasticsearch is built on Apache Lucene, a full-text search library, making this technology suitable for efficiently scaling and handling vast amounts of data.

Simple installation

Setting up Elasticsearch is a straightforward and fast procedure, allowing you to quickly integrate it into your systems and make the most of its powerful capabilities.

Comprehensive tooling

Elasticsearch offers a wealth of tools and plugins, like Kibana and Logstash. These seamlessly integrate with your Elasticsearch-powered programs, enhancing your solutions with additional functionality.

Multiple functions

You can use Elasticsearch on your websites and web apps for various purposes. Whether auto-completion, incident detection, or data analytics, Elasticsearch empowers you to craft and sustain robust and captivating solutions.

High availability

Elasticsearch’s index replication and automatic failover mechanisms guarantee uninterrupted service, ensuring your solutions maintain accessibility and responsiveness.

What can you do with Elasticsearch development?

Elasticsearch equips you to successfully execute a wide array of data-related tasks and enhance the capabilities of your products.

Advanced search

Advanced search is one of Elasticsearch’s prominent use cases. The engine efficiently handles full-text, geospatial, and document repository searches, delivering fast and precise results for applications and websites.

Security analytics

Elasticsearch development enables real-time monitoring and detection of security incidents. It offers smart system security analytics, providing a comprehensive view of current security status and stages.

Log monitoring

With Elasticsearch, you can ensure swift log processing, rapid issue detection, and performance optimization. Additionally, the engine offers valuable insights about log metrics for informed decision-making and proactive actions.

Data analysis

Elasticsearch is a powerful tool for analyzing text, data, metrics, and content. It enables trend detection relevant to your industry, facilitating data-driven decisions.

Content recommendation

Modern apps and websites rely heavily on delivering excellent user experiences. Elasticsearch empowers this with personalized recommendation features based on potent user behavior analysis.

Autocomplete feature

Elasticsearch lets you implement intuitive search experiences in your websites and web apps. You can use it to install auto-completion and ahead suggestions for enhanced user interaction.

Who uses Elasticsearch?

Leading companies integrate Elasticsearch into their apps and systems for enhanced functionality and decision-making.


Netflix uses Elasticsearch to drive its real-time search and recommendation features as well as to store and index documents. A potent search engine lets users quickly discover and access their favorite content by delivering accurate search results and tailored viewing suggestions.


LinkedIn relies on Elasticsearch to bolster its search capabilities. The platform’s core operations involve the swift discovery of relevant job listings and profiles, a task in which Elasticsearch excels. Furthermore, Elasticsearch’s availability ensures that LinkedIn users can efficiently access the information they need for networking and job hunting.



Elasticsearch enables Shopify customers to find products they’re looking for quickly. The e-commerce platform uses Elastic’s analytical tools to identify content gaps and monitor search engine results, ultimately elevating user shopping experiences.

Stack Overflow

Stack Overflow utilizes Elasticsearch primarily for its robust full-text search capabilities. As a platform for developers seeking programming tips and advice, Stack Overflow handles a vast volume of inquiries daily. Elasticsearch proves to be the ideal technology to meet this demand, ensuring that developers can swiftly find answers.



Medium, a prominent blog-publishing platform, serves 25 million monthly readers and hosts thousands of weekly posts. To facilitate seamless content discovery, Medium relies on Elasticsearch. This robust search engine empowers users to quickly locate articles and topics, aligning perfectly with the platform’s high-demand environment.



Elasticsearch collects business metrics for Uber in real time, overseeing crucial marketplace operations such as pricing and supply positioning. Additionally, this search and analytics engine tracks ride requests, optimizes routes, and enhances passenger safety and satisfaction by processing large volumes of real-time data.


Elasticsearch vs Solr: Which one should you use?

Ensuring users can effortlessly and swiftly access information is vital for delivering an exceptional user experience. And when it comes to selecting the right search engine technology to fulfill this purpose, companies often face the Elasticsearch vs Solr dilemma.

These two open-source search engines, built on Apache Lucene, offer some similar features but differ in others.


When to use Elasticsearch?

Elasticsearch is the ideal choice for projects requiring effortless scalability and potent analytics. So, opt for it if your solution involves handling complex search requirements, real-time data analysis, or extensive data storage.

Key Elasticsearch features:

  • Real-time data analysis
  • Full-text search
  • Scalability

When to use Solr?

Use Solr to build high-performance apps that require powerful indexing and retrieval capabilities. Furthermore, its advanced full-text search and faceted navigation make it particularly suitable for content management systems.

Key Solr features:

  • High availability
  • Extensive ecosystem
  • Built-in faceted search

Code Power’s Elasticsearch development services

Set your web solutions up for success with Code Power’s Elasticsearch development services. Our battle-tested approaches ensure that your apps and systems provide outstanding user experiences and data-driven insights for your business.

Elasticsearch migration

Our Elasticsearch development company offers expertise in migrating your data to Elasticsearch, allowing you to leverage the full range of benefits this technology provides

Elasticsearch upgrades

Ensure your Elasticsearch-powered solutions remain up-to-date with the latest versions to maximize functionality. We specialize in safe and seamless upgrades that won’t disrupt your application’s operations.

Elasticsearch consulting

Code Power’s Elasticsearch developers attentively address your inquiries and assess your requirements. Our consulting services encompass everything from planning implementation to optimization strategies.

Elasticsearch optimization

You need to regularly adjust the search and analytics system to maintain optimal performance. That’s why our Elasticsearch development services include optimization to enhance your system’s performance and deliver even better results.

Elasticsearch integration

Ready to embed Elasticsearch into your solutions? Code Power’s Elasticsearch developers are well-prepared to seamlessly incorporate this popular search engine into your systems, databases, and applications.

Elasticsearch maintenance

With our Elasticsearch development services, you can focus on your core business tasks. We handle the maintenance of your Elasticsearch system, consistently fine-tuning its performance for outstanding efficiency.

Our Elasticsearch development process

Building a successful Elasticsearch solution isn’t precisely easy. Because, aside from excellent talent, a flexible approach to development, and appropriate tools, you’ll also need a battle-tested process to guide the entire project. Fortunately, you can trust in Code Power’s own development process to lead you to success.

Scope and requirements definition

During the project’s initial phase, we discuss your requirements, outline the project’s scope, and establish timelines. Also, this phase forms the basis for comprehending your search and analytics needs. Additionally, it entails assembling a team of experienced Elasticsearch developers who will design and build your solution.

Project execution

After we agree on a plan with you, Code Power’s Elasticsearch development team configures Elasticsearch clusters and designs data ingestion pipelines. We also implement analyzers, filters, and query optimizations tailored to your requirements. Throughout the process, we maintain open communication, actively seeking and implementing your feedback.

Testing and deployment

To ensure the success of your Elasticsearch development solutions, we perform thorough performance evaluations and load testings. Our Elasticsearch developers collaborate closely with QA testers to fine-tune configurations, indexes, and queries, ensuring the system performs optimally under various conditions and meets the highest standards of quality and efficiency.

Support and maintenance

We are dedicated to the ongoing excellence of your Elasticsearch-powered programs. To achieve this, we offer continuous support and maintenance, focusing on optimizing your system’s health and addressing any issues promptly. Our goal is to keep your Elasticsearch solutions running smoothly and efficiently at all times.

Elasticsearch FAQs

Is Elasticsearch an ETL?

No, Elasticsearch isn’t an ETL (Extract, Transform, Load) tool. ETL is a process that involves extracting data from various sources, converting it, and loading it into a target system, such as a database. Elasticsearch is a distinct technology used for search and analytics, not data transformation.

What programming language does Elasticsearch use?

Elasticsearch primarily uses Java.

Is Elasticsearch still relevant?

Absolutely! Elasticsearch is relevant and has applications in various industries for its potent search capabilities, advanced analytics features, and real-time data processing.

How to implement Elasticsearch?

You can implement Elasticsearch by building an in-house team of Elasticsearch developers, hiring a dedicated team, or enhancing your existing setting with one or multiple Elasticsearch engineers. Code Power is here to assist you in any of these approaches.

We power the world's most ambitious companies

Elevate user experiences and gain

data-driven insights with Elasticsearch


Elasticsearch is among the world’s most popular search and analytics engines, favored for its fast performance and superior scalability.

At Code Power, we have the expertise to leverage its capabilities. We can help you build solutions with sophisticated user experiences and turn your data into actionable insights—all for your business success.