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Elasticsearch Development Company
Our Elasticsearch development services already power dozens of active engagements. We typically land our teams within 2 weeks, so you can start shipping top quality software, fast.
500+ companies rely on our top 1% tech talent.
Elasticsearch Development Services We Provide
Elasticsearch Development & Customization
Augment your e-commerce site customer experience with text-search capabilities. Visualize geographic information and location-based data on your maps app. These are just a handful of Elasticsearch's many use cases.
Using Elasticsearch, Kibana, Logstash, and other technologies, we develop and customize scalable and efficient solutions for performing full-text searches. The result? Lightning-fast search functionality and enhanced decision-making through real-time data analytics and insights.
Elasticsearch Integration
Index any type of data in real-time—no matter what tech stack your existing system uses. Create a centralized logging system for a simpler troubleshooting experience.
We use tools like Beats, RESTful APIs, and Apache Kafka to seamlessly integrate Elasticsearch into your existing systems.
Elasticsearch Migration
Make your search capabilities fast, scalable, and customizable. Handle multiple data types with real-time analysis.
Using tools like Logstash and the Elasticsearch Migration Helper, we safely migrate your data to the latest version of Elasticsearch with minimal downtime. We ensure you have complete backups of your data.
Data Analysis and Visualization with Elasticsearch
Create a real-time data analysis dashboard for easy ongoing monitoring of application performance, system health, and user interactions. Discover actionable insights that drive revenue by visualizing aggregated data from every part of your business.
We configure Elasticsearch with your existing systems to enhance data management and analysis capabilities. Using Kibana for data visualization, Logstash for data processing, and Elasticsearch SQL for SQL-like querying abilities, we streamline operations and provide comprehensive insights.
Cluster Configuration and Management
Prevent data loss and downtime. Seamlessly monitor system health and have backups ready.
Using Elasticsearch cluster management APIs, Kibana, Elasticsearch-HQ, and other tools, we configure your cluster infrastructure for better performance, reliability, and efficiency.
Search Optimization and Data Indexing
Enhance the UX of your e-commerce platform with search features like filtering, sorting, and relevance tuning. Quickly find errors or system inefficiencies by searching large volumes of log data.
We tailor your searches and data indexes with the help of Elasticsearch Query DSL, Elasticsearch Analyzers, and Ingest Nodes. Improve search performance, scalability, and data security.
Security Implementation
Monitor your data for security breaches and limit authorized access. Implement fraud detection capabilities. Encrypt your data and meet compliance requirements.
Using tools such as Elastic Security, Elasticsearch SSL/TLS, and Role-Based Access Control, we ensure that your organization’s data is handled securely.
Rolls Royce case study
Rolls Royce turned to BairesDev to develop an efficient, user-friendly mobile app. A two-week discovery process with the Rolls Royce product owner identified a comprehensive list of functionalities, data streams, and displays required to meet their clients’ expectations for a mobile SDS. Read the entire Rolls Royce case study.
Why Choose BairesDev for Elasticsearch Development?
Robust Security Measures
Data security is our top priority. Our Elasticsearch development cycle includes stringent QA testing, including security tests. We also enforce thorough NDAs, maintain secure code repositories, and leverage protocols such as data encryption and two-factor authentication.
Bespoke Solutions
We use a combination of programming languages and technologies, including Elasticsearch, to build customized solutions tailored to your business objectives.
Nearshore, Timezone-Aligned Talent
Our bilingual Elasticsearch developers are primarily located in Latin America, so they’ll work on overlapping hours with your business. You’ll be able to communicate with our talent in real-time.
The Elasticsearch Ecosystem We Used in Previous Work
Data Ingestion and Integration
Tools and technologies focused on collecting, enriching, and transporting data into Elasticsearch from various sources.
- Logstash
- Beats
- Apache NiFi
- Talend
- Fluentd
- Apache Kafka
Client Libraries and Frameworks
Libraries and frameworks in various programming languages that facilitate the development of applications interacting with Elasticsearch.
- Elasticsearch DSL and Clients (Python, Java, JavaScript, Ruby, .NET)
- Spring Data Elasticsearch
- Elastic4s (Scala)
- Jest (Java)
Visualization and Analysis Tools
Tools designed to visualize, analyze, and gain insights from data stored in Elasticsearch, offering interfaces for data exploration and dashboarding.
- Kibana
- Grafana
- Dejavu
- Elasticsuite
Monitoring and Management
Tools and platforms for monitoring the health, performance, and management of Elasticsearch clusters, ensuring they operate efficiently.
- Elastic Stack (ELK Stack)
- Elasticsearch-HQ
- Cerebro
- ElastiCluster
- Prometheus and Elasticsearch Exporter
Security and Compliance
Tools and plugins in this category provide security features such as authentication, authorization, encryption, and compliance functionalities for Elasticsearch clusters.
- Elasticsearch Security
- Search Guard
- ReadOnlyREST
Deployment, Scaling, and Development Utilities
Utilities and technologies that support the deployment, scaling of Elasticsearch environments, and development utilities for testing and data management.
- Docker and Kubernetes
- Elasticdump
- Elasticsearch-test
- Fakeredis
Key Things to Know About Elasticsearch
Tailored Solutions for Every Elasticsearch Project
Frequently Asked Questions (FAQ)
What is Elasticsearch?
Elasticsearch is a highly scalable, open-source full-text search and analytics engine that works in near real-time. Elasticsearch offers extremely fast enterprise search engine experiences across different industries.
Why would you choose to use Elasticsearch versus other search engine technologies?
Compared to traditional search engines, Elasticsearch is faster, more flexible, more scalable, and better able to handle diverse data sets. It particularly excels when you need to handle large volumes of both structured and unstructured data.
Elasticsearch is a good choice for quickly aggregating and visualizing your data in near real-time, making it a strong solution for central troubleshooting dashboards. It’s also useful for quickly obtaining valuable business insights from marketing and operational data.
What should I look for when working with an Elasticsearch development company?
When you're working with an Elasticsearch development company, look for experienced developers with strong expertise in Elasticsearch. You should focus on companies that have a portfolio of projects similar to yours and in your industry.
This is true for Elasticsearch consulting and implementation services as well. You’ll also want to ensure they offer reliable ongoing support and maintenance post-deployment.
What should I look for when hiring an Elasticsearch developer?
Look for an Elasticsearch developer with strong expertise in Elasticsearch and related technologies like Kibana and Logstash. A portfolio and work samples can attest to their experience. Use a thorough hiring process that includes coding tests, technical interviews, and soft skills assessments. Finally, you should look for a developer with strong communication skills who can clearly articulate technical details and project updates.
We use this type of process to hire only the top 1% of the millions of developers who apply to work with us each year. And by partnering with us, you won’t have to worry about interviewing or hiring. We do the work for you.
What are some disadvantages of Elasticsearch?
While Elasticsearch is a strong solution for many businesses, it does have some drawbacks.
They include:
- Elasticsearch can be demanding on system resources, especially in terms of memory and disk space. This can impact performance if not properly managed.
- While Elasticsearch scales horizontally, managing a large cluster and ensuring data integrity across various projects can become complex.
- Out-of-the-box security features are basic, with more advanced features requiring additional configuration or add-ons to ensure data protection and compliance with regulations.
Often, partnering with an experienced Elasticsearch developer or development company can help mitigate these challenges and manage your platform and resources more effectively.
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