The Infra to Move & Transform Data in Real-Time
Your Python-based Real-Time alternative to Airbyte and dbt. Fully managed, scalable and easy to use.
GlassFlow can process up to 6M events/sec with low latency.
Faster launch of real-time data features thanks to a managed infra and native Python.
2 Days is the average time to implement GlassFlow into your existing data infra stack.
Trusted by developers from
Use cases across all departments
Real-Time Data Movement
Send your data anywhere in real-time. Every event will be synched in milliseconds across your systems.
More infoAlternative to
Airbyte
Fivetran
Rudderstack
Features
No need to stitch several services together. You can connect, transform, scale and monitor your real-time data pipelines in one solution. Fully managed and secure.
Serverless execution. You write the functions and we manage the infra. That gives you more time to focus on the business logics.
Connect to external APIs within your functions. Call external APIs with and use all libraries you need.
Fully managed and secure. No need to take care of updates, backups, etc. and your data is always encrypted.
Detect schema changes. Get notified in real-time so you can take action before it affects downstream systems.
Built-in monitoring and logs. See the progress of your pipelines and debug the transformations per event.
Reprocess data even days later. Every event is stored in our deadletter queue and can be reprocessed even 30 days later.
Briny you own cloud (BYOC). GlassFlow offers a BYOC option for all major cloud providers so your data can stay within your environment.
Multi-function transformations Build rule-based functions for complex transformations.
Create your first pipeline within a few steps
Integrate with your stack
Seamlessly integrate your stack with our Managed Connectors.We handle the setup and maintenance, so you don't have to take that effort.
Frequently asked questions
Feel free to contact us if you have any questions after reviewing our FAQs.
GlassFlow is a data streaming infra that enables python devs to create real-time data pipelines within minutes without the need to setup or maintain the infrastructure.
GlassFlow combines capabilities of event storage and event transformation. GlassFlow has managed connectors, logs, multifunctions and data schema checks built in. With those functionalities it provides an end to end data streaming infra. For most providers user would need to combine multiple services to rebuild what GlassFlow is providing, have limitations on the functions they can use, can't move data in real-time or are forced to use Scala/Java.
Starting prices are visible on our pricing page. To give you are rule of thumb, the majority of our users are saving between 30% and 40% of costs compared to similar solutions or self-built solutions.
Here is a detailed overview of GlassFlow position within the modern data architecture.
That's not an issue at all. Request a new connector through this form and our team will come back to you with how long it would take us to build it for you needs.
GlassFlow data throughput and latency is comparable to top technologies like Apache Kafka and Flink.
Lets get started
Reach out and we show you how GlassFlow interacts with your existing data stack.
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