Features

PRO

For Data Teams

BigQuery, Cloud Storage, Composer and GKE are services on GCP that can generate high levels of wastage. Our
service level insights
and
optimization features
like recommendations for BigQuery reservations and queries or optimization based on file-level access patterns
can save you headache and money
on a daily basis.
We’ve got you covered even if you don’t use native GCP data services, such as when running Spark clusters on GKE. Rabbit not only
groups POD costs at the Spark pipeline level
and optimizes them automatically, but it also
applies Pod-level CPU and memory requests.

BigQuery

See costs from 3 different perspectives:
queries, tables, and accounts who run the queries.

You can fine-tune the table's partitioning and clustering setting based on the column usage statistics that Rabbit provides.

Similar queries are grouped together (parameters are excluded) to see the most expensive queries. Get actionable insights and recommendations to optimize BigQuery not just for cost but for performance as well.

BigQuery Edition Calculator

With Rabbit weeks of documentation reading and custom spreadsheet creation can be eliminated.

Explore and analyze various scenarios using our BigQuery Edition Planner! In case you feel overwhelmed by the documentation and don't know where to begin, our calculator is here to guide you through the process. It ensures that you are aware of any features exclusive to specific edition packages.

Assess the most suitable pricing option based on your historical usage. You can make a decision on whether to prioritize performance or cost-effectiveness.

Composer / Pipelines

Understanding the expense linked with ETL/ELT pipelines is utterly crucial.

Rabbit simplifies the process of correlating the cloud expenditure with business-centric matters, aiding in determining the cloud's worth.

It facilitates grasping the genuine expenses of pipelines, encompassing related service charges such as BigQuery and Dataflow, along with orchestration expenditures like Composer's CPU, Memory, and overhead costs.

Cloud Storage

Gain insights into Cloud Storage expenses and optimize them.

Navigating Cloud Storage expenses can prove challenging, particularly in comprehending the storage costs across various class types, processing costs for operations and data retrieval expenses, and network charges.

Rabbit offers a holistic perspective on your Cloud Storage expenditures and assists in optimizing them through actionable recommendations.

Dataflow

Gain a clear understanding of your expenditure on your Batch and Streaming Dataflow pipelines.

Rabbit assists in comprehending the costs associated with your Dataflow pipelines and facilitates comparing costs across historical runs.

Recognizing CPU and Memory utilization is paramount when balancing between cost and performance. Rabbit offers actionable recommendations to optimize your Dataflow pipelines, providing an accurate and transparent view of utilization.

Rabbit is available through Google Cloud Marketplace

It counts towards your GCP consumptions and easier to sign-up

Meet our team

Balázs Molnár
Balázs Molnár

CEO

Ex-Google and Uber executive with extensive experience in Southeast Asia and the Middle East.

Zoltán Guth
Zoltán Guth

CTO

10+ years of experience with Google Cloud; they’ve helped dozens of customers to optimize performance and costs in multiple areas of GCP.

Want to bridge the cloud cost transparency gap between Management and Engineering?

Get in touch with us, we're here to help.
Zoltán Guth

CTO

Balázs Molnár

CEO

Features

PRO

For Data Teams

BigQuery, Cloud Storage, Composer and GKE are services on GCP that can generate high levels of wastage. Our
service level insights
and
optimization features
like recommendations for BigQuery reservations and queries or optimization based on file-level access patterns
can save you headache and money
on a daily basis.
We’ve got you covered even if you don’t use native GCP data services, such as when running Spark clusters on GKE. Rabbit not only
groups POD costs at the Spark pipeline level
and optimizes them automatically, but it also
applies Pod-level CPU and memory requests.

BigQuery

See costs from 3 different perspectives:
queries, tables, and accounts who run the queries.

You can fine-tune the table's partitioning and clustering setting based on the column usage statistics that Rabbit provides.

Similar queries are grouped together (parameters are excluded) to see the most expensive queries. Get actionable insights and recommendations to optimize BigQuery not just for cost but for performance as well.

BigQuery Edition Calculator

With Rabbit weeks of documentation reading and custom spreadsheet creation can be eliminated.

Explore and analyze various scenarios using our BigQuery Edition Planner! In case you feel overwhelmed by the documentation and don't know where to begin, our calculator is here to guide you through the process. It ensures that you are aware of any features exclusive to specific edition packages.

Assess the most suitable pricing option based on your historical usage. You can make a decision on whether to prioritize performance or cost-effectiveness.

Composer / Pipelines

Understanding the expense linked with ETL/ELT pipelines is utterly crucial.

Rabbit simplifies the process of correlating the cloud expenditure with business-centric matters, aiding in determining the cloud's worth.

It facilitates grasping the genuine expenses of pipelines, encompassing related service charges such as BigQuery and Dataflow, along with orchestration expenditures like Composer's CPU, Memory, and overhead costs.

Cloud Storage

Gain insights into Cloud Storage expenses and optimize them.

Navigating Cloud Storage expenses can prove challenging, particularly in comprehending the storage costs across various class types, processing costs for operations and data retrieval expenses, and network charges.

Rabbit offers a holistic perspective on your Cloud Storage expenditures and assists in optimizing them through actionable recommendations.

Dataflow

Gain a clear understanding of your expenditure on your Batch and Streaming Dataflow pipelines.

Rabbit assists in comprehending the costs associated with your Dataflow pipelines and facilitates comparing costs across historical runs.

Recognizing CPU and Memory utilization is paramount when balancing between cost and performance. Rabbit offers actionable recommendations to optimize your Dataflow pipelines, providing an accurate and transparent view of utilization.

Rabbit is available through Google Cloud Marketplace

It counts towards your GCP consumptions and easier to sign-up

Meet our team

Balázs Molnár
Balázs Molnár

CEO

Ex-Google and Uber executive with extensive experience in Southeast Asia and the Middle East.

Zoltán Guth
Zoltán Guth

CTO

10+ years of experience with Google Cloud; they’ve helped dozens of customers to optimize performance and costs in multiple areas of GCP.

Want to bridge the cloud cost transparency gap between Management and Engineering?

Get in touch with us, we're here to help.
Zoltán Guth

CTO

Balázs Molnár

CEO