Streambased

Embedded Analytics & Dashboards

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This innovative solution transforms real-time data from a messaging system into a unified view, enabling immediate access to fresh information without the delays associated with traditional batch processing. Key features include seamless integration with existing analytics tools, the elimination of data duplication, and the ability to query live data instantly, making it ideal for data analysts, data scientists, and organizations seeking to improve their real-time analytics capabilities while maintaining data integrity and governance.

Streambased can be found in Embedded Analytics & Dashboards categories.

The most similar products to Streambased are:

Drequ Verified profile Promoted → Tacnode → DeltaStream → Zilla Data Platform → Feldera →

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Streambased Main Features

• Direct SQL Queries
  Analysts can query Kafka directly using SQL without needing to move the data.
• File System Access
  Pull raw data from Kafka topics easily, allowing for rapid experimentation without moving data.
• Kafka as a Database
  Query your Kafka data directly using SQL, treating Kafka topics like tables for quick insights.
• Iceberg Table Format
  Use Kafka data as if it were an Iceberg table, connecting directly to tools like Snowflake or Databricks.
• File System for AI/ML
  Access Kafka as a file system, which is great for AI/ML projects and experimentation.
• Best-in-Class Indexing
  Enjoy unmatched query and read performance with top-quality indexing.
• Lightning-Fast Queries
  Experience very fast filter queries with Streambased, achieving up to 100 times faster speeds.
• Event Streaming Platform
  Use Kafka as an event streaming platform to streamline your workflow.
• Real-Time Event Analysis
  Analyze real-time events as if they were in a regular table without replicating or moving data.
• Instant Access for Analytics
  Make your Apache Kafka data available for analytics, business intelligence, and AI/ML without delays or data movement.
• Compatibility with Kafka Tools
  Fully compatible with Kafka ecosystem tools like Schema Registry and Access Control Lists (ACLs).

Streambased Benefits

• Faster Queries
  Streambased makes your queries up to 100 times faster, helping you get answers quickly.
• No Data Movement
  You can work with your data directly in Kafka without needing to move it, saving time and effort.
• Real-Time Analysis
  You can analyze live data as if it were in a regular database, allowing for immediate insights.
• Easy Experimentation
  You can pull raw data from Kafka easily, making it simple to test and try new ideas.
• Instant Access to Data
  You can get insights from your Kafka data right away without waiting or moving it around.
• Compatibility with Tools
  Streambased works well with other tools, making it easier to integrate into your existing setup.

Who should use Streambased?

• BI Engineer
  They can connect Kafka data to BI tools easily, making reporting and analysis much simpler.
• Data Engineer
  They can streamline data workflows and access data in real-time, improving efficiency.
• AI/ML Engineer
  They can experiment with data directly from Kafka, helping them build better models quickly.
• Data Scientist
  They can analyze data instantly using SQL, allowing for quicker insights and decisions.
• Ops/Developers
  They can quickly access and analyze data without delays, making their work faster and easier.

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