Baltoro: PySpark Notebook

Reimagined
architecture
built for speed

A familiar jupyter notebook with a streamlined interface and superior functionality built specifically for Apache Spark transforms your user's experience

pyspark notebooks

High performance, hassle free ML/AI platform

Our game changer is our special-purpose cloud optimized for Spark compute with smart workload distribution across CPUs and GPUs. That architecture lets us scale to a higher number of cores driving performance up and costs down. We know from direct experience that users are reluctant to switch if it requires a new UI so we present superior functionality in a familiar Jupyter notebook. As legacy cloud computing hits the customer with two unpredictable costs: the usage charge and a platform fee. Baltoro users have only one cost - a low fixed monthly subscription.

Leverage a purpose-built
platform

Erase the burden of scaling, provisioning, core selection, GPUs, memory, storage and installing software. Baltoro's serverless compute platform frees you to focus on your job.

No need to migrate
data

We seamlessly integrate with AWS/Azure and GCP. All data stays with the current provider so there is no need to migrate data. This makes it easier to manage your data and access it whenever you need it. Apart from data we also integrate to your code repository like Github, BitBucket and GitLab.

Simplified cluster
configuration and
fast launch times

We eliminate the hassles of slow launch times and time-consuming system configuration. With dedicated resource allocation per notebook and built-in cloud connectors we have simplified the experience compared to other providers.

Fast
Functional
Easy-to-use

Baltoro represents the rich new functionality built specifically for Apache Spark that runs close to the bare metal where features like parallelized loads on GPUs with 100% utilization, real-time workload optimization including autoscaling compute are part of the platform.