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Zatar VS SQLstream

Compare Zatar VS SQLstream and see what are their differences

Draxlr
Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured
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Zatar logo Zatar

IoT Analytics

SQLstream logo SQLstream

SQLstream, Big Data stream processing software, powering smart services for the Internet of Things from streaming machine and sensor data.
  • Zatar Landing page
    Landing page //
    2023-08-19
  • SQLstream Landing page
    Landing page //
    2023-01-21

Zatar features and specs

No features have been listed yet.

SQLstream features and specs

  • Real-time Data Processing
    SQLstream provides powerful real-time data processing capabilities, allowing businesses to analyze and react to streaming data with minimal latency.
  • SQL-based Interface
    Users can use their existing SQL skills to interact with data streams, making it easier to integrate into existing systems without needing to learn new programming languages.
  • Scalability
    Designed to handle large volumes of streaming data, SQLstream can scale effectively with business needs, providing reliable performance as data loads increase.
  • Integration with Existing Systems
    Offers integration capabilities with various databases and data sources, facilitating seamless data flow between systems for organizations.
  • Analytics and Insights
    Allows for complex analytics and data insights on-the-fly, providing businesses with actionable intelligence derived from real-time data streams.

Possible disadvantages of SQLstream

  • Complex Setup
    The initial setup and configuration of SQLstream can be complex, requiring expertise to properly implement and optimize the system.
  • Cost
    Depending on user requirements and scale, SQLstream can become costly, which might be a concern for small to medium-sized businesses.
  • Resource Intensive
    Operating at scale, SQLstream may require significant computational resources, including memory and processing power, potentially leading to increased infrastructure costs.
  • Learning Curve
    Although it uses SQL, the variations in streaming SQL might present a learning curve to those unfamiliar with real-time data processing paradigms.
  • Dependency on SQL Skills
    Organizations heavily reliant on other programming languages or paradigms may find the SQL-centric approach limiting and may need to invest in training.

Zatar videos

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SQLstream videos

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SQLstream PCAP Monitor

More videos:

  • Demo - SQLstream Demonstration: Streaming Operational Intelligence

Category Popularity

0-100% (relative to Zatar and SQLstream)

Zatar

SQLstream

IoT Platform
61 61%
IoT Platform
39% 39
Analytics
58 58%
Analytics
42% 42
Data Dashboard
100 100%
Data Dashboard
0% 0
Stream Processing
0 0%
Stream Processing
100% 100

User comments

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What are some alternatives?

When comparing Zatar and SQLstream, you can also consider the following products

AWS IoT Analytics - IoT Management

Azure Stream Analytics - Azure Stream Analytics offers real-time stream processing in the cloud.

ThingSpeak - Open source data platform for the Internet of Things. ThingSpeak Features

Apache iota - IoT Analytics

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

Oracle Internet of Things Cloud - Securely connect, integrate, analyze, build, and deploy innovative IoT solutions to gain business process efficiencies and data-driven insights with Oracle Internet of Things (IoT) technology.

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