Real-Time Analytics

GlassFlow is the infra to build dashboards that load new events in real-time so your team can take actions the moment they need to happen.

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32Mio

6M events/second. Real-time processing of metrics with sub-second latency. No batch processing or delays.

32Latency

Direct streaming to visualization tools means instant updates without query overhead.

32 % Robust

In-built robust mechanism for error handling ensuring data consistency.

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The bottleneck

Problem

Query latency issues

Most analytics platforms rely on batch processing and query execution, causing delays between data arrival and insight availability.

Problem

Not scalable

During usage spikes the data pipelines are overwhelmed and causing delays in real-time dashboards or related activities.

Problem

Schema Changes

Schema changes in the source system (e.g., a new field or a data type change) cause real-time pipelines to break or produce inconsistent outputs.

The solution

Solution

Instant metric updates

Event-based architecture ensures dashboards update within milliseconds as new data arrives, without waiting for refresh cycles

Solution

6 Mio events per sec

GlassFlow is built with technology that is highly scalable and can process millions of events within seconds.

Solution

In-buil data schema check

GlassFlow in-built data schema check will notify you immediately when a change happens and lets you decide how you want to reprocess the data.

Discover more use cases

GlassFlow uses cases impact your business in real-time.

Real-Time Data Movement

Real-Time Data Movement

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Database CDC

Database CDC

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Anomaly Detection

Anomaly Detection

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Scale ingestions for your AI pipeline

Scale ingestions for your AI pipeline

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Automated Pipeline Creation

Automated Pipeline Creation

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Real-Time Data Transformation

Real-Time Data Transformation

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Get started today

Reach out and we show you how GlassFlow interacts with your existing data stack.

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