Elasticsearch知识汇总之ElasticSearch与OpenSearch比较

Features

Description

Advanced Security

Offers encryption, authentication, authorization, and auditing features. They include integrations with Active Directory, LDAP, SAML, Kerberos, JSON web tokens, and more. OpenSearch also provides fine-grained, role-based access control to indices, documents, and fields.

SQL Query Syntax

Provides the familiar SQL query syntax. Use aggregations, group by, and where clauses to investigate your data. Read data as JSON documents or CSV tables so you have the flexibility to use the format that works best for you.

Reporting

Schedule, export, and share reports from dashboards, saved searches, alerts, and visualizations.

Anomaly Detection

Use machine learning anomaly detection based on the Random Cut Forest (RCF) algorithm to automatically detect anomalies as your data is ingested. Combine with alerting to monitor data in near real time and send alert notifications automatically.

Index Management

Define custom policies to automate routine index management tasks, such as rollover and delete, apply them to indices and index patterns, and transforms.

Performance Analyzer and RCA Framework

Query numerous cluster performance metrics and aggregations. Use PerfTop, the command line interface (CLI) to quickly display and analyze those metrics. Use the root cause analysis (RCA) framework to investigate performance and reliability issues in clusters.

Asynchronous Search

Run complex queries without worrying about the query timing out with Asynchronous Search queries running in the background. Track query progress and retrieve partial results as they become available.

Trace Analytics

Ingest and visualize OpenTelemetry data for distributed applications. Visualize the flow of events between these applications to identify performance problems.

Alerting

Automatically monitor data and send alert notifications to stakeholders. With an intuitive interface and a powerful API, easily set up, manage, and monitor alerts. Craft highly specific alert conditions using OpenSearch’s full query language and scripting capabilities.

k-NN search

Using machine learning, run the nearest neighbor search algorithm on billions of documents across thousands of dimensions with the same ease as running any regular OpenSearch query. Use aggregations and filter clauses to further refine similarity search operations. k-NN similarity search powers use cases such as product recommendations, fraud detection, image and video search, related document search, and more.

Piped Processing Language

Provides a familiar query syntax with a comprehensive set of commands delimited by pipes (\

Dashboard Notebooks

Combine dashboards, visualizations, text, and more to provide context and detailed explanations when analyzing data.