

Databricks and Elasticsearch are both Databases tools. Compare features, pricing, and ratings below to find the best fit for your team.
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Databricks Delta Lake adds full ACID guarantees to Parquet files on S3 or ADLS, enabling concurrent reads and writes that corrupt data in plain Parquet pipelines without managing separate lock services.
Databricks integrates MLflow natively, auto-logging parameters, metrics, and model artifacts for every training run, reducing experiment comparison from hours of manual log parsing to a 30-second dashboard review.
Databricks Structured Streaming processes Kafka events with exactly-once semantics and checkpointed state, supporting stateful aggregations across time windows without losing events on job restart.
Build relevance-ranked search over product catalogs with typo tolerance and faceted filtering
Ingest server logs via Logstash, store in Elasticsearch, visualize anomalies in Kibana in near-real-time
Correlate security events across systems using Elasticsearch SIEM to detect threats within minutes
Power autocomplete and faceted search across millions of SKUs with sub-100ms query latency
Best for: Ideal for foundational SQL analytics workloads
Best for: Designed for advanced SQL analytics with enhanced performance and concurrency
Best for: Offers fully managed, auto-scaling SQL endpoints for simplified operations
Best for: For deploying and scaling machine learning models using CPU resources
Best for: Optimized for high-performance machine learning model serving with GPU acceleration
Best for: Provides enhanced security, compliance, and governance features for sensitive data
Best for: This plan is ideal for individuals or small teams needing basic Elasticsearch functionality for self-managed deployments.
Best for: This entry-level paid plan is suitable for users requiring essential Elasticsearch features and basic support for their deployments.
Best for: The Gold plan adds enhanced security features and advanced alerting, making it good for businesses with growing compliance needs.
Best for: Platinum includes machine learning capabilities and advanced security, perfect for organizations needing deeper insights and robust protection.
Best for: Designed for large organizations, Enterprise offers unlimited support, advanced features, and centralized management for critical operations.
Best for: This custom plan is for users seeking a fully managed, serverless experience with flexible scaling and usage-based billing.
11 differences found across 18 standardized features
Evaluative strengths and weaknesses: not feature lists
Databricks added a new "SQL Serverless" plan (Custom pricing)
Plan added · May 30, 2026
Databricks added a new "GPU Serving" plan (Custom pricing)
Plan added · May 30, 2026
Databricks removed the "Standard" plan
Plan removed · May 30, 2026
Databricks added a new "CPU Serving" plan (Custom pricing)
Plan added · May 30, 2026
Databricks removed the "Community Edition" plan
Plan removed · May 30, 2026
Elasticsearch added a new "Elastic Cloud Serverless" plan (Custom pricing)
Plan added · May 30, 2026
Elasticsearch added a new "Platinum" plan at $131/mo
Plan added · May 30, 2026
Elasticsearch removed the "Platinum (Elastic Cloud)" plan
Plan removed · May 30, 2026
Elasticsearch added a new "Gold" plan at $114/mo
Plan added · May 30, 2026
Elasticsearch added a new "Standard" plan at $99/mo
Plan added · May 30, 2026