Harsh Vardhan Goswami
Jul 7, 2025
Modern applications demand fast, flexible search and analytics. Migrating from MongoDB to Elasticsearch unlocks advanced search capabilities, and with Monstache, you can achieve real-time data sync with minimal latency. Here’s how developers can make this transition—plus, how SyneHQ supercharges your Elasticsearch experience.
Why Move from MongoDB to Elasticsearch?
Advanced Full-Text Search: Elasticsearch offers powerful, scalable search features.
Real-Time Analytics: Run complex queries and aggregations efficiently.
Low Latency: Optimized for sub-second search responses.
Monstache: Real-Time Sync Between MongoDB and Elasticsearch
Monstache is a Go-based daemon that streams changes from MongoDB to Elasticsearch, ensuring your search index is always up to date.
Key Features:
Real-time sync via MongoDB’s oplog.
Bulk initial sync and live updates.
Flexible filtering and document transformation.
Resilient, with resume-on-failure and high-availability support.
Step-by-Step Migration & Sync
1. Prepare MongoDB
Enable Replica Set:
Initialize:
2. Set Up Elasticsearch
Install and configure Elasticsearch for your environment.
Running Elasticsearch in a docker container
Optionally, define index mappings for your data.
3. Install Monstache
Download the latest binary from the official releases. Click here
Verify installation:
4. Configure Monstache
Create a config.toml
file:
5. Start Sync
Monstache will bulk sync existing documents, then mirror new inserts, updates, and deletes in real time.
Achieving Low-Latency Search
Optimize Index Mappings: Use correct data types and analyzers.
Tune Elasticsearch: Adjust heap size, thread pools, and caching.
Monitor Performance: Use Elasticsearch and Monstache’s monitoring endpoints.
Supercharge Search & Analytics with SyneHQ
SyneHQ empowers teams to get more from their Elasticsearch data without writing code or complex queries.
What SyneHQ Offers Developers
Connect to Your Hosted Elasticsearch: Securely link your Elasticsearch instance, whether self-hosted or cloud-based.
Chat with Your Data: Use natural language to ask questions and get instant answers from your Elasticsearch indices.
Generate Charts Instantly: Create visualizations from your data with just a prompt—no manual chart-building required.
Create Custom Dashboards: Build and share dashboards to monitor KPIs, trends, and business metrics.
Support for EQL & REST Queries: Run advanced Event Query Language (EQL) and REST API queries directly, giving you full flexibility and power over your data exploration.
Enterprise-Grade Security: Your data never leaves your server, with options for self-hosting and robust access controls.
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Pro tip
Sync only necessary collections to reduce load.
Use Monstache plugins to transform documents for better search relevance.
Leverage SyneHQ’s chat and dashboard features to democratize data access across your team.
Example Use Cases
E-Commerce: Real-time product search and analytics.
Finance: Instant insights and charting from transactional data.
Support & Operations: Semantic search over logs and support tickets.
Marketing: Build dashboards tracking campaign performance.
Migrating to Elasticsearch with Monstache is fast and developer-friendly. With SyneHQ, you can unlock even more value—turning your Elasticsearch data into actionable insights, visualizations, and conversations, all with enterprise-grade security and flexibility.