No migrations. No code changes. No metered billing.
Get one fixed, predictable monthly price.
At 4 - 10X performance, all within your Cloud.
Yes, really.
Every cloud customer has been caught off guard from a hair-raising bill. And then another... and another.
Platforms profit from your inefficient compute. It's one of their major cash sources.
The extra money spent on cloud has to come from somewhere. Like projects. And bonuses.
Yeedu is the cost optimization engine the data platforms forgot.
Optimize your compute costs by transitioning to Yeedu while maintaining your existing Data Lakehouse infrastructure and governance intact.
Keep your existing data platform running seamlessly while Yeedu proves its value - no risky migrations, rewrites, or disruptions - just measurable savings from day one.
Say goodbye to unpredictable cloud bills. Yeedu’s anti-shock pricing ensures flat, transparent fees for each tier - empowering you to plan confidently.
Yeedu supports multi-tenancy, fine-grained access control, single sign-on, and stringent regulatory standards (HIPAA, SOC2) so you remain compliant with your governance norms.
Developed by ex-IBM leaders and architects, Yeedu combines decades of experience building high-performance, multi-million-dollar data platforms for the world’s demanding enterprises.
Don't wait for your next shock bill - Act now.
Save on cloud compute costs today with Yeedu.
OR
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Yeedu offers a tiered licensing model, with monthly fees starting at $2,000. Pricing increases with higher usage tiers, ensuring scalability and cost efficiency.
Yeedu supports open-source Apache Spark, and your PySpark and Scala jobs can be migrated “As-Is” to Yeedu. It also supports Python 3+.
No, Yeedu supports open-source Apache Spark. Jobs can be written in PySpark or Scala and migrated to other platforms as needed, ensuring flexibility.
Yeedu has helped enterprises cut costs by an average of 60%. To evaluate potential savings, you can start by onboarding a sample workload.
Yes, Yeedu can run any Python job written in Python 3+, including those using popular modules like pandas.
Yeedu is a data platform that creates and runs data processing workloads like Databricks and Cloudera. However, Yeedu works well with Databricks and Cloudera's governance setup, so rather than a full workload migration, customers can start migrating high-cost workloads to Yeedu to maximize their cost savings. Over time, more workloads can be migrated as customers see value.
Yeedu supports Python, Scala, and Java jobs and provides optimal performance for Spark workloads. It is designed to enhance Spark application efficiency and cost savings.
No, there are no minimum thresholds. Yeedu delivers noticeable cost savings when a mix of low, medium, and heavy workloads are run on the platform.
Yeedu runs entirely within your cloud account, under your firewall. You do not need to export data outside your environment.
Existing Python, Scala, and Java jobs can be onboarded to Yeedu by uploading the code files. If your jobs are in notebook format, they can be easily migrated to Yeedu’s notebook editor and executed seamlessly.
