Name: Amazon Elasticsearch Service
Rating: 7.2 (16 reviews)
Author: Amazon AWS

Help Desk

Web and Video Conferencing

Customer Support

Augmented Reality Development

Development

School Management

Education

Board Management

Business Intelligence (BI)

Collaboration

Digital Rights Management (DRM)

Risk Management

Enterprise

Accounting

Accounts Receivable

Budgeting and Forecasting

Subscription Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Build Automation

Cloud Storage

Data Fabric

Email Verification

Firewall Security Management

Fraud Detection

IP Address Management (IPAM)

Infrastructure Capacity Planning

Integration Platform as a Service (iPaaS)

IoT Security

Network Performance Monitoring

Network Simulation

Network Traffic Analysis (NTA)

Output Management

Platform-as-a-Service (PaaS)

SOA Application Gateways

Software Components

Software-Defined WAN

Web Content Filtering

Web Portal

Information Technology

A/B Testing

AI Image Generation

Ad Serving & Retargeting

All-in-One Marketing

Audio Editing

Blogging

Content Management

Email Marketing

Gamification

Local Marketing

Marketing Automation

Mobile Analytics

Product Sampling

Search Engine Marketing (SEM)

Social Media Management

Survey & Forms Building

Video

Video Editing

Web Analytics

Website Builder

Marketing

Job Site Management

Project Management

Waste Management

Writing and Proofreading Tools

Professional Services

Customer Relationship Management (CRM)

Social Commerce

Sales

Security Orchestration, Automation and Response (SOAR)

Security

Architecture

Last Mile Delivery

Legal Case Management

Nonprofit CRM

Physical Therapy

Roofing

Vertical-Specific

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Amazon Elasticsearch Service is a fully managed service that enables users to search, analyze, and visualize your log data at petabyte-scale. As a fully managed service, Amazon Elasticsearch Service manages the setup, deployment, configuration, patching, and monitoring of Elasticsearch clusters, so users can spend less time managing clusters and more time building applications. With a few clicks in the AWS console, users create scalable, secure, and available Elasticsearch clusters. Amazon Elasticsearch Service offers open source Elasticsearch APIs, managed Kibana, integration with Logstash and other AWS services, and SQL querying.

Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.

Standard

Gold

Platinum

Coveo is an enterprise search  technology which can index data on disparate cloud systems making it easier to retrieve. It has integrated plug-ins for Salesforce.com, Sitecore CEP, and Microsoft Outlook and SharePoint.

Base

Coveo Relevance Cloud

Amazon Elasticsearch Service

Enterprise search is the organized retrieval of structured and unstructured data within an organization. Enterprise search creates an easily navigated interface for entering, categorizing and retrieving data securely, in compliance with security and data retention regulations. Products in this category can be made available to customers, partners or employees.

Enterprise Search

Retail

Likelihood to Recommend

Usability

Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform.

Founded by Jeff Bezos, the Amazon.com website started in 1995 as a place to buy books because of the unique customer experience the Web could offer book lovers. Bezos believed that only the Internet could offer customers the convenience of browsing a selection of millions of book titles in a single sitting. During the first 30 days of business, Amazon fulfilled orders for customers in 50 states and 45 countries - all shipped from his Seattle-area garage.

Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.

New Relic

Splunk Cloud Platform

Grafana

Amazon Elasticsearch Service 2025-01-06 13:06:54

Microsoft SQL Server

Amazon DynamoDB

AWS Lambda

Software Development Manager

Amazon Elasticsearch Service 2021-09-02 10:06:24

Senior Software Engineer

Amazon Elasticsearch Service 2021-12-14 01:48:48

Amazon Elasticsearch Service 2021-09-02 20:30:55

Amazon Elasticsearch Service 2021-08-27 13:02:01

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Data needs

Simple to learn

Configuration and setup

Local server

Structured and unstructured

Data visualization

Unstructured data

Dates and times

Search results

Easy configuration

Home

Enterprise Search Software

We use AWS Elastic to compile metadata options for products that have a lot of options on them, things like rugs with multiple sizes, colors, patterns, shapes, and so on. This helps us to create one source of truth that we can then call through the API to get the data back we need through a lightweight webservice call.

onboarding
technical skills
difficulty in learning language

Our team is using [Amazon] Elasticsearch to help us perform user lookups of data in our system. Instead of spending a lot of time and energy creating optimized queries in SQL Server, we were able to use Elasticsearch to quickly set up a system that searched through multiple data points and provide weighted results. One of the things we like the best is how easy it has been to set up the search, to do partial search matches for some data points, exact search matches for other data points, and then weight the results so that the best results are displayed first. This has allowed us to create a single "Google-like" search with minimal development effort.

Slice data by dates and times
Provide weighting of search results
Easy configuration and setup

Understanding how stale the data is and what data needs refreshed

Reducing time spent optimizing queries
Offloading resources around searching from our application

Elasticsearch has allowed us to spend more time on building features and less time on optimizing search queries

Amazon DynamoDB, AWS Lambda, Microsoft SQL Server

1. With Amazon Elasticsearch Service, we analyze logs of our microservices-based application to fix bugs. 2. With Amazon Elasticsearch Service, we accumulate data across the microservices of our product for visualization &amp; other business purposes. 3. The benefit of elastic search is that, since data is in JSON format, all our microservices can easily change the data structure.

Fast Index based search.
Scalable.
Best for structured and unstructured data.

It is not so simple to learn.
Documentation is often very confusing.

Centralized logging.
Handle tons of data.

Poor documentation.
Hard to debug issues.

AWS container is very fast, imagine previously I [spent] at least 30 minutes [setting] up one VM in my local server infrastructure [and] I [spent] around 150k to set up local server infrastructure with SAN, and [paid] a lot [for] electricity, internet, and firewall. But when I moved to ECS, I [found] it changed my work a lot. I deploy the server for developer and production use [in] only one minute. Fast provisioning vm and easy to scale my vm to bigger ram, cpu, hdd.

Stable, fast provisioning the VM, and also easy backup snapshot and restore.
Pay less than local server infrastructure, easy for collaboration work.

Really satisfied with this service from Amazon.

Fast services and can scale very fast without affecting operation.

The cost is a bit expensive if compared with other clouds but [the] performance is very good.

We use Elasticsearch to offer modern reporting to our users. They can quickly sort thru large datasets and see the information that matters to them.

Quick ingestion
Efficient data visualization thru Kibana

Managing production issues with shards is difficult

Gave us the ability to produce some efficient reporting for our customers

Amazon Elasticsearch Service

Overview

What is Amazon Elasticsearch Service?