SQL or NoSQL, which should we use?

PostgreSQL/MySQL for structured data with complex queries. MongoDB for flexible schemas. Redis for caching. We often use multiple databases in a single system, each optimized for its workload.

How do you handle database scaling?

Read replicas, sharding, connection pooling, query optimization, and proper indexing. For extreme scale, we use distributed databases like CockroachDB or DynamoDB.

Database

Elasticsearch

A distributed search and analytics engine for full-text search, logging, and real-time analytics.

Use Cases

Full-text search

Our team has deep expertise building full-text search with Elasticsearch.

Log analytics

Our team has deep expertise building log analytics with Elasticsearch.

APM

Our team has deep expertise building apm with Elasticsearch.

Security analytics

Our team has deep expertise building security analytics with Elasticsearch.

Questions? We've Got Answers

Your Search Platform Questions, Answered.

Direct answers on what's actually different between Elasticsearch and OpenSearch in 2026 and how licensing or vendor fit decides the choice.

Featured Answer

What is the difference between Elasticsearch and OpenSearch in 2026?

OpenSearch is the Apache-licensed fork created after Elastic changed Elasticsearch license in 2021. For most production use cases, the two remain functionally compatible, with both receiving active development. OpenSearch fits organizations preferring fully open source licensing or running on AWS where OpenSearch Service receives first-class support. Elasticsearch fits organizations valuing Elastic commercial features, support, and the broader ELK Stack ecosystem. The decision usually reflects licensing preferences, vendor relationships, and specific feature needs rather than fundamental technical differences for typical use cases.

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