CtrlB

About CtrlB

CtrlB Flow is a data engine that ingests, stores, queries, and routes data in real-time without the need for sampling or indexing, enabling users to conduct live analysis and visualizations on petabyte-scale data. It addresses high observability costs by allowing seamless integration with existing tools while ensuring all data remains instantly queryable, regardless of its age.

```xml <problem> Modern observability solutions often rely on data sampling or indexing to manage costs, leading to incomplete datasets and delayed insights. High data volumes from diverse sources further complicate real-time analysis and increase expenses associated with data retention and querying. </problem> <solution> CtrlB Flow is a data engine designed for real-time ingestion, storage, querying, and routing of observability and security data at petabyte scale, without requiring sampling or indexing. By separating compute from storage, CtrlB Flow enables users to conduct live analysis and create visualizations on all data, regardless of its age. The platform integrates with existing agents, log shippers, and services, allowing users to send data from various sources, including Splunk, DataDog, and Elastic. CtrlB Flow's adaptable querying system supports both visual exploration and precise analysis using Lucene & SQL. </solution> <features> - Schema-less data ingestion, eliminating the need for upfront schema definitions - Index-free architecture for instant querying of all data, regardless of age - Real-time event streaming for live data analysis and visualization - Advanced querying capabilities with Lucene & SQL support - Data filtering, transformation, and routing to multiple destinations - Integration with popular observability and security tools like Splunk, Datadog, and Elastic - Support for Parquet format, enabling integration with any query tool - Live debugging capabilities with detailed function and variable-level tracing (requires CtrlB SDKs) </features> <target_audience> CtrlB Flow targets DevOps engineers, security analysts, and IT professionals who require comprehensive, real-time observability and security insights from large volumes of data. </target_audience> <revenue_model> CtrlB Flow offers a cost-effective solution by charging based on data value rather than volume, resulting in savings compared to traditional observability platforms. </revenue_model> ```

What does CtrlB do?

CtrlB Flow is a data engine that ingests, stores, queries, and routes data in real-time without the need for sampling or indexing, enabling users to conduct live analysis and visualizations on petabyte-scale data. It addresses high observability costs by allowing seamless integration with existing tools while ensuring all data remains instantly queryable, regardless of its age.

Where is CtrlB located?

CtrlB is based in Alo, India.

When was CtrlB founded?

CtrlB was founded in 2022.

Location
Alo, India
Founded
2022
Employees
6 employees
Investors
PointoneYourcampus Fund

CtrlB

5
Relative Traction Score based on online presence metrics compared to companies in the same age group.

Executive Summary

CtrlB Flow is a data engine that ingests, stores, queries, and routes data in real-time without the need for sampling or indexing, enabling users to conduct live analysis and visualizations on petabyte-scale data. It addresses high observability costs by allowing seamless integration with existing tools while ensuring all data remains instantly queryable, regardless of its age.

ctrlb.ai2K+
Founded 2022 – Alo, India

Funding

Backed by

PointoneYourcampus Fund

Team (5+)

No team information available.

Company Description

Problem

Modern observability solutions often rely on data sampling or indexing to manage costs, leading to incomplete datasets and delayed insights. High data volumes from diverse sources further complicate real-time analysis and increase expenses associated with data retention and querying.

Solution

CtrlB Flow is a data engine designed for real-time ingestion, storage, querying, and routing of observability and security data at petabyte scale, without requiring sampling or indexing. By separating compute from storage, CtrlB Flow enables users to conduct live analysis and create visualizations on all data, regardless of its age. The platform integrates with existing agents, log shippers, and services, allowing users to send data from various sources, including Splunk, DataDog, and Elastic. CtrlB Flow's adaptable querying system supports both visual exploration and precise analysis using Lucene & SQL.

Features

Schema-less data ingestion, eliminating the need for upfront schema definitions

Index-free architecture for instant querying of all data, regardless of age

Real-time event streaming for live data analysis and visualization

Advanced querying capabilities with Lucene & SQL support

Data filtering, transformation, and routing to multiple destinations

Integration with popular observability and security tools like Splunk, Datadog, and Elastic

Support for Parquet format, enabling integration with any query tool

Live debugging capabilities with detailed function and variable-level tracing (requires CtrlB SDKs)

Target Audience

CtrlB Flow targets DevOps engineers, security analysts, and IT professionals who require comprehensive, real-time observability and security insights from large volumes of data.

Revenue Model

CtrlB Flow offers a cost-effective solution by charging based on data value rather than volume, resulting in savings compared to traditional observability platforms.

Sources:

1
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