Streambased

About Streambased

Streambased offers a SQL-based analytics service for Apache Kafka that enables real-time querying of event streaming data without complex setup or data movement. This solution addresses the challenge of accessing timely and relevant data for analytics, allowing data scientists and analysts to improve model accuracy and uncover business insights instantly.

```xml <problem> Analyzing data streams in Apache Kafka often requires complex setups and data movement, hindering real-time querying and timely access to relevant data for analytics. This complexity makes it difficult for data scientists and analysts to quickly gain insights and improve model accuracy. </problem> <solution> Streambased A.S.K. provides a SQL-based analytics service for Apache Kafka that enables real-time querying of event streaming data without complex setup, management, or data movement. Users can point A.S.K. at their Kafka data and query it using standard SQL tools. By querying data directly at its Kafka source, Streambased eliminates the need for data replication. The service seamlessly translates Schema Registry schemas into table definitions, ensuring analytical rows map perfectly to operational messages. Standard Kafka client quotas can be used to protect the Kafka cluster from rogue workloads, and Kafka ACLs and RBAC can be transparently re-used in SQL tools for access management. </solution> <features> - SQL-based querying of Apache Kafka data streams - Zero deployment and no signup required - No data movement; queries data directly at its Kafka source - Seamless integration with Schema Registry for data structure - Kafka ACLs and RBAC for access management - DOS protection via client quotas - Topic statistics for query optimization - Pre-aggregation for high performance - Predicate pushdown to reduce data read from Kafka </features> <target_audience> The primary users are data scientists and analysts who need real-time access to Kafka data for analytics and business insights. </target_audience> ```

What does Streambased do?

Streambased offers a SQL-based analytics service for Apache Kafka that enables real-time querying of event streaming data without complex setup or data movement. This solution addresses the challenge of accessing timely and relevant data for analytics, allowing data scientists and analysts to improve model accuracy and uncover business insights instantly.

Where is Streambased located?

Streambased is based in London, United Kingdom.

When was Streambased founded?

Streambased was founded in 2023.

How much funding has Streambased raised?

Streambased has raised 800000.

Who founded Streambased?

Streambased was founded by Leo Delmouly.

  • Leo Delmouly - Co-founder
Location
London, United Kingdom
Founded
2023
Funding
800000
Employees
7 employees
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Streambased

Score: 85/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Streambased offers a SQL-based analytics service for Apache Kafka that enables real-time querying of event streaming data without complex setup or data movement. This solution addresses the challenge of accessing timely and relevant data for analytics, allowing data scientists and analysts to improve model accuracy and uncover business insights instantly.

streambased.io700+
Founded 2023London, United Kingdom

Funding

$

Estimated Funding

$800K+

Team (5+)

Leo Delmouly

Co-founder

Company Description

Problem

Analyzing data streams in Apache Kafka often requires complex setups and data movement, hindering real-time querying and timely access to relevant data for analytics. This complexity makes it difficult for data scientists and analysts to quickly gain insights and improve model accuracy.

Solution

Streambased A.S.K. provides a SQL-based analytics service for Apache Kafka that enables real-time querying of event streaming data without complex setup, management, or data movement. Users can point A.S.K. at their Kafka data and query it using standard SQL tools. By querying data directly at its Kafka source, Streambased eliminates the need for data replication. The service seamlessly translates Schema Registry schemas into table definitions, ensuring analytical rows map perfectly to operational messages. Standard Kafka client quotas can be used to protect the Kafka cluster from rogue workloads, and Kafka ACLs and RBAC can be transparently re-used in SQL tools for access management.

Features

SQL-based querying of Apache Kafka data streams

Zero deployment and no signup required

No data movement; queries data directly at its Kafka source

Seamless integration with Schema Registry for data structure

Kafka ACLs and RBAC for access management

DOS protection via client quotas

Topic statistics for query optimization

Pre-aggregation for high performance

Predicate pushdown to reduce data read from Kafka

Target Audience

The primary users are data scientists and analysts who need real-time access to Kafka data for analytics and business insights.

Streambased - Funding: $500K+ | StartupSeeker