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How much does Elastic cost after negotiations?

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How much does Elastic typically cost?

Logs Essentials
Site reliability engineers and developers face challenges in quickly diagnosing operational issues due to complex log analytics infrastructure requirements. Logs Essentials provides serverless log ingestion, search, visualization, and alerting capabilities on Elastic Cloud without requiring infrastructure management, upgrades, or tuning.

Complete
Companies seeking to unify data for search, observability, and security across hybrid or multi-cloud environments benefit from a platform that scales elastically and supports advanced analytics. Key capabilities include flexible deployment in any cloud, interactive real-time visualizations, document- and field-level security, autoscaling, monitoring, and seamless integration across data sources.

Basic
Offering core data ingestion, search, and visualization capabilities, the basic tier enables organizations to deploy and operate Elastic solutions such as search, observability, and security with essential features. It includes foundational access to the Elastic Stack, allowing users to ingest, store, analyze, and visualize their data at scale using Elasticsearch, Kibana, Logstash, and Beats.

Platinum
Organizations gain advanced machine learning-powered anomaly detection, full security features including encryption, SSO, and fine-grained access controls, and capabilities for cross-cluster replication to ensure high availability and data protection. The Platinum subscription tier includes support for mission-critical workloads with 24/7/365 response, as well as comprehensive Elastic Stack features for search, observability, and security across deployments.

Enterprise
Organizations managing multiple Elasticsearch deployments across different infrastructure environments need centralized orchestration and monitoring capabilities. Elastic Cloud Enterprise provides a unified management console for provisioning, scaling, securing, and monitoring Elasticsearch and Kibana clusters at any scale, whether deployed on public cloud, private cloud, bare metal, or hybrid environments.

Analytics Essentials
Elastic's Logs Essentials is designed to simplify log analytics for Site Reliability Engineers (SREs) and developers, enabling them to ingest, search, visualize, and alert on logs without managing infrastructure. It accelerates root cause analysis and provides deep contextual insights using Elasticsearch's robust search capabilities and Elastic's query language, ES|QL.

Analytics Complete
No product specifically named "Analytics Complete" was found on Elastic's official website. The search results indicated that Elastic's products like Elasticsearch, Kibana, and the Elastic Stack collectively provide various analytics capabilities.

Standard
Designed for organizations seeking fully-managed search, analytics, and data management capabilities, the Standard subscription provides essential access to Elastic Cloud services with core platform features included. Key capabilities such as secure data ingestion, visualization, alerting, and monitoring help teams deploy scalable search and observability solutions while minimizing operational overhead and ensuring reliable performance.

Gold
Designed to streamline operational monitoring and data security, this subscription tier provides enhanced support and advanced Elastic Stack features for organizations requiring business-hours assistance and broader platform functionality. Core capabilities include multi-stack monitoring, reporting, and improved alerting options, benefiting teams with needs for reliable diagnostics and faster response to events.

Typical price after negotiations
Elastic Cloud Hosted: PlatinumNew purchase, 1 year term
Packs of Billable Nodes - 64GBs
1
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Enterprise
Centralized orchestration addresses the operational challenges of managing multiple Elasticsearch clusters, enabling deployment, monitoring, and administration from a single console across any infrastructure. Key capabilities include security controls, flexible resource scheduling, automated scaling, integrated monitoring, and advanced search with machine learning.

Vector Search
Elastic’s Vector Search enables AI-driven semantic retrieval by representing data and queries as high-dimensional vectors, allowing searches to return results based on semantic similarity rather than exact text matches, and supports filtering, faceting, and hybrid integration with traditional search methods for flexible, context-aware applications. This functionality is available for large-scale deployments and can be combined with structured queries, metadata, and geospatial data through a unified API.

General Purpose
For businesses needing a flexible and scalable search solution without the burden of infrastructure management, Elastic's serverless offerings provide a fully managed environment. This approach allows companies to focus on data insights by automatically scaling resources based on usage, ensuring efficient performance and cost management.

Typical price after negotiations
Elastic Consumption Unit - PrepaidNew purchase, 1 year term
Units
73000
Price after negotiations-
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