Data Storage

Elasticsearch & MongoDB

NoSQL databases and search engines for flexible data storage and lightning-fast search capabilities.

Overview

Elasticsearch and MongoDB provide modern data storage solutions that handle unstructured data, complex queries, and real-time search at scale. These technologies enable organizations to build flexible, scalable applications with powerful search and analytics capabilities.

Key Features

Powerful capabilities that drive business transformation and competitive advantage.

Full-Text Search

Lightning-fast search across massive datasets with relevance scoring

Flexible Schema

Store and query JSON documents without rigid schema constraints

Real-time Analytics

Analyze data as it arrives with aggregation and visualization

High Availability

Built-in replication and clustering for fault tolerance

Benefits

Handle millions of search queries per second

Reduce data query response time by 90%

Scale horizontally to petabyte-scale datasets

Enable real-time analytics and monitoring

Simplify application development with flexible schemas

Use Cases

Real-world applications across different industries and business scenarios.

E-commerce

E-commerce Search

Power product search and recommendations for online stores

Technology

Log Analytics

Centralize and analyze application logs for monitoring

Media

Content Management

Store and search large volumes of documents and media

Case Study

Client

Media Company

Challenge

Needed to search through millions of articles and videos in real-time

Solution

Implemented Elasticsearch with MongoDB for content storage and fast search

Results

  • Reduced search response time from 5 seconds to 50ms
  • Enabled semantic search across 10M+ documents
  • Improved user engagement by 35%
  • Scaled to handle 100K concurrent search requests

Implementation Process

Our proven methodology ensures successful technology implementation.

1

Data Architecture

1-2 weeks

Design data models and search architecture

2

Cluster Setup

2-3 weeks

Configure database and search clusters

3

Data Migration

3-5 weeks

Migrate existing data and build indexing pipelines

4

Application Integration

2-4 weeks

Integrate with applications and optimize performance

Technologies We Use

ElasticsearchMongoDBKibanaLogstashNode.jsPythonJavaDocker

Ready to Implement Elasticsearch & MongoDB?

Let our experts help you leverage this technology to transform your business operations and drive growth.