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IBM Databases for Elasticsearch
Support infrastructure monitoring and security analytics


Support infrastructure monitoring and security analytics

WatsonWorks Products
IBM Storage Software
Learn more about Databases for Elasticsearch, a powerful tool for rich data with a full-text search engine and JSON document database indexing.
#Databases-Elaticsearch
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Please Note: All Prices are Inclusive of GST

Overview:

Use machine learning to unlock the power of your enterprise-ready, fully managed Elasticsearch

IBM Cloud Databases for Elasticsearch is a fully managed Elasticsearch Service offering on IBM Cloud. It combines the flexibility of a semantic search engine with the indexing power of a JSON document database and Vector DB capabilities via a number of built-in features.

Serverless scaling

IBM Cloud Databases for Elasticsearch allows you to scale disk and RAM independently to best fit your application requirements.

Open source compatible

The service is compatible with Elasticsearch APIs, data formats and clients. Applications that already leverage Elasticsearch can use IBM Cloud Databases for Elasticsearch as a drop-in replacement.

Machine learning to cut through data noise

Get immediate value from machine learning with all the powerful out-of-the-box features of Elasticsearch. Make your enterprise data work harder with Elastic’s machine learning algorithms, specialist machine learning nodes and semantic search.

Automation aware

Get to global scale with integrated, infrastructure-as-code tools, such as IBM Cloud Schematics with Terraform and Red Hat® Ansible® support at no additional charge.

Features:

ML

Generative AI - RAG pattern and integration with third party Machine Learning Models

Integrate with Large Language Models and Machine Learning Models (already existing or bring your own) to provide core machine learning capabilities such as Retrieval Augmented Generation (RAG) for conversational search, entity recognition or insight extraction. IBM Watson portfolio using these capabilities are watsonx.Assistant, watsonx.Orchestrate and Watsonx.ai.

Vector

Vector embeddings and semantic search

Store vector representations and enable advanced operations such as similarity searches, content retrieval, natural language processing, recommendation systems or anomaly detection.

Log

Log analysis

Analyze and visualize logs and machine-generated data from servers, sensors and websites to debug applications and systems.

Benefits:

Specifications:

Pricing Notes:

WatsonWorks Products
IBM Storage Software
Learn more about Databases for Elasticsearch, a powerful tool for rich data with a full-text search engine and JSON document database indexing.
#Databases-Elaticsearch
Our Price: Request a Quote