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Amazon Elasticsearch Service VS Azure Stream Analytics

Compare Amazon Elasticsearch Service VS Azure Stream Analytics and see what are their differences

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Amazon Elasticsearch Service logo Amazon Elasticsearch Service

Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch in the AWS Cloud.

Azure Stream Analytics logo Azure Stream Analytics

Azure Stream Analytics offers real-time stream processing in the cloud.
  • Amazon Elasticsearch Service Landing page
    Landing page //
    2023-03-13
  • Azure Stream Analytics Landing page
    Landing page //
    2023-01-21

Amazon Elasticsearch Service features and specs

  • Scalability
    Amazon OpenSearch Service allows for easy scalability of clusters based on demand, without the need to manually manage infrastructure.
  • Managed Service
    The service is fully managed by AWS, including automatic backups, monitoring, and updates, reducing operational overhead for users.
  • Integration
    Seamless integration with other AWS services such as Amazon VPC, AWS Lambda, and Amazon S3 for streamlined workflows and enhanced data analysis capabilities.
  • Security
    Built-in security features such as VPC support, IAM policies, and data encryption at rest and in transit ensure data is well-protected.
  • High Availability
    The service offers multiple availability zones for high availability and durability of data.
  • Cost Efficiency
    Comes with a pay-as-you-go pricing model which allows users to efficiently manage costs and scale resources according to budget and usage.

Possible disadvantages of Amazon Elasticsearch Service

  • Vendor Lock-in
    Relying on Amazon for Elasticsearch service can lead to vendor lock-in, making it hard to transition to other services or platforms without significant effort.
  • Cost
    While the pricing model is flexible, the costs can accumulate quickly with large-scale deployments, potentially leading to high expenses.
  • Limited Customization
    Being a managed service, it offers less flexibility and customization options compared to self-managed solutions.
  • Version Lag
    The service may not always be in sync with the latest releases and may lag behind the open-source Elasticsearch in terms of new features.
  • Complexity
    Setting up and optimizing Amazon OpenSearch Service can be complex, requiring a good understanding of both the service and underlying Elasticsearch technology.

Azure Stream Analytics features and specs

  • Real-time Data Processing
    Azure Stream Analytics allows for real-time data processing, which enables businesses to analyze and process data as it is generated to make faster decisions.
  • Ease of Use
    The platform provides a simple and intuitive interface for setting up streaming jobs, making it accessible even for users with limited technical expertise.
  • Scalability
    It is designed to handle large volumes of data, allowing for automatic scaling to accommodate more data without compromising performance.
  • Integration with Azure Ecosystem
    Seamless integration with other Azure services like Azure Functions, Azure Event Hubs, and Azure Blob Storage allows for a unified cloud ecosystem.
  • Cost Efficiency
    Its pricing model based on the volume of data processed makes it cost-efficient, especially for projects that require variable or burst data processing.
  • Support for Multiple Input Sources
    It supports multiple input sources such as IoT Hub, Event Hub, and Azure Blob Storage, providing flexibility in designing the data flow architecture.

Possible disadvantages of Azure Stream Analytics

  • Limited Machine Learning Capabilities
    Azure Stream Analytics has limited built-in capabilities for complex machine learning models, requiring integration with other services for advanced analytics.
  • Complex Queries
    While powerful, the query language can be complex for users unfamiliar with SQL, potentially necessitating a learning curve for new users.
  • Geographic Availability
    Not all features are available in every Azure region, which may limit its usability for some global operations depending on the region's support.
  • Debugging and Monitoring
    Some users have reported that debugging and monitoring issues can be challenging due to limited tools compared to other more mature data processing platforms.
  • Dependency on Internet Connectivity
    As a cloud-based service, it requires reliable internet connectivity, which can be a constraint for operations in environments with unstable connections.

Amazon Elasticsearch Service videos

+ Add

Amazon Elasticsearch Service Deep Dive - AWS Online Tech Talks

More videos:

  • Review - Moving From Self-Managed Elasticsearch to Amazon Elasticsearch Service - AWS Online Tech Talks

Azure Stream Analytics videos

+ Add

Azure Stream Analytics

More videos:

  • Review - Real-time Analytics with Azure Stream Analytics
  • Demo - Introduction to Azure Stream Analytics + Demo

Category Popularity

0-100% (relative to Amazon Elasticsearch Service and Azure Stream Analytics)

Amazon Elasticsearch Service

Azure Stream Analytics

Custom Search Engine
100 100%
Custom Search Engine
0% 0
Stream Processing
39 39%
Stream Processing
61% 61
Custom Search
100 100%
Custom Search
0% 0
Data Management
0 0%
Data Management
100% 100

User comments

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Social recommendations and mentions

Based on our record, Amazon Elasticsearch Service seems to be more popular. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon Elasticsearch Service mentions (11)

  • OpenSearch for humans
    This change triggered a response from Amazon Web Services, which offered OpenSearch (data store and search engine) and OpenSearch Dashboards (visualization and user interface) as Apache2.0 licensed open-source projects. - Source: dev.to / about 1 year ago
  • OpenSearch as Vector DB: Supercharge Your LLM
    Amazon OpenSearch Service allows you to deploy a secured OpenSearch cluster in minutes. - Source: dev.to / almost 2 years ago
  • Building Serverless Applications with AWS - Data
    If yes to these, then OpenSearch is where you are looking. I rarely ever use OpenSearch on its own but usually pair it with DynamoDB. The performance of DDB and the power of searching with OpenSearch make a nice combination. And as with most things with Serverless, pick the right tool for the job. And when it comes to Data, there are so many choices because each one of these is specific to the problem it solves. - Source: dev.to / almost 2 years ago
  • Advice on a simple database architecture
    Have you looked into Amazon OpenSearch Service (https://aws.amazon.com/opensearch-service/)? You should be able to load the log files into that service and then query it there. Should simplify things a lot. Source: about 2 years ago
  • AWS Beginner's Key Terminologies
    Elasticsearch (analytics) An open-source, real-time distributed search and analytics engine used for full-text search, structured search, and analytics. OpenSearch was developed by the Elastic company. Amazon OpenSearch Service (OpenSearch Service) is an AWS-managed service for deploying, operating and scaling OpenSearch in the AWS Cloud. Https://aws.amazon.com/opensearch-service/. - Source: dev.to / over 2 years ago
View more

Azure Stream Analytics mentions (0)

We have not tracked any mentions of Azure Stream Analytics yet. Tracking of Azure Stream Analytics recommendations started around Mar 2021.

What are some alternatives?

When comparing Amazon Elasticsearch Service and Azure Stream Analytics, you can also consider the following products

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

PieSync - Seamless two-way sync between your CRM, marketing apps and Google in no time

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

TIBCO Spotfire - TIBCO Spotfire is a Business Intelligence (BI) solution that provides users with executive dashboards, data visualization, data analytics and KPIs push to mobile devices.

Azure Event Hubs - Learn about Azure Event Hubs, a managed service that can ingest and process massive data streams from websites, apps, or devices.

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