Choose the Right Data Tools for Your Company

Use the Best Data and AI Tools on Your Infrastrucutre

Try the Shakudo Data Stack Recommender to get instant data tool recommendations that are specifically tailored to your business use case.
Deltalake
Deltalake
Airbyte
Airbyte
n8n
n8n
Milvus
Milvus
Dagster
Dagster
DuckDB
DuckDB
GPT-4
GPT-4
Llama 2
Llama 2
Pinecone
Pinecone
LocalAI
LocalAI
Metaflow
Metaflow
DataHub
DataHub
Ray
Ray
Supabase
Supabase
Kiali
Kiali
dbt
dbt
ClickHouse
ClickHouse
Snowflake
Snowflake
Apache Kafka
Apache Kafka
Great Expectations
Great Expectations
Weights & Biases
Weights & Biases
TensorFlow
TensorFlow
Github
Github
Apache Spark
Apache Spark
Jupyter Notebook
Jupyter Notebook
Apache Superset
Apache Superset
PyTorch
PyTorch
Use Case Suggestion:
An AI system could be developed for optimizing basketball team rotations based on player performance data. The AI model would analyze various factors like player statistics, game results, and team dynamics to recommend optimal player rotations during games, ensuring the team's success and player well-being.
Snowflake
Data storage and management for storing player performance data and game statistics in a scalable and secure manner.
Snowflake
Data storage and management for storing player performance data and game statistics in a scalable and secure manner.
Snowflake
Data storage and management for storing player performance data and game statistics in a scalable and secure manner.
Snowflake
Data storage and management for storing player performance data and game statistics in a scalable and secure manner.
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AI Data Stack Recommender

AI

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How to get an AI/data stack reccomendation

1. Inform

Enter your email and describe your company's data needs in detail.

2. Generate

Wait briefly while our AI analyzes your input and creates a tailored stack recommendation.

3. Connect

Review your custom stack and reach out to our team for expert guidance on deploying it with Shakudo.

Frequently Asked Questions

This looks cool, but how accurate is it really? Can I trust the recommendations?

Our Data Stack Recommender is built on years of experience working with diverse organizations and their unique needs. While it's not a crystal ball, it's powered by deep industry knowledge and real-world data. That said, think of it as a starting point - a smart suggestion that you can then fine-tune with our experts to perfectly fit your organization's needs.

This sounds great for big enterprises, but we're a smaller shop. Is this overkill for us?

Great question! While we do work with larger enterprises, Shakudo is designed to scale with you. Our Data Stack Recommender can suggest setups for organizations of all sizes. In fact, starting with a well-designed stack early on can save you major headaches as you grow. It's like building your house on a solid foundation - it'll support you now and in the future.

Okay, I got my recommendation. Now what?

The recommendation is just the beginning. Once you have your personalized stack suggestion, our team is here to help you every step of the way. We can dive deeper into each component, help with implementation, or even give you a demo of how it all works together on Shakudo. We're partners in your data journey, not just a recommendation engine.

I see a lot of familiar tools in the recommendation. What makes Shakudo different from just piecing these together ourselves?

You've hit on a key point! While you could attempt to integrate these tools yourself, Shakudo offers something unique - a cohesive, managed environment that's greater than the sum of its parts. We handle the complex integration and maintenance, provide automated DevOps, ensure enterprise-grade security, and offer it all on your own cloud. This means you get the flexibility of best-of-breed tools without the headache of managing them. Interested in learning how this could work for your specific use case? Let's chat!

This recommended stack looks powerful, but I'm worried about vendor lock-in. How does Shakudo address that?

Unlike big cloud providers that can lock you in, Shakudo is designed for flexibility. We're multi-cloud compatible and run on your own Virtual Private Cloud (VPC). This means you retain control of your data and infrastructure while benefiting from our managed services. Plus, with our 170+ integrations, you're never stuck with a limited toolset. Curious about how this could work in your environment? Let's discuss your specific needs!

I like what I see, but my organization has strict security requirements. Can Shakudo handle that?

Security is at the core of everything we do at Shakudo. We're SOC 2 Type II certified and built to handle enterprise-grade security needs - including air-gapped networks. But we know every organization has unique security concerns. Why not schedule a call with our security team? They can dive deep into our protocols and show you how Shakudo can meet (and often exceed) your security requirements.

This recommended stack looks great for our current needs, but what about future scalability?

Excellent point! Scalability is one of Shakudo's strengths. The stack you see is just the starting point. Our platform is designed to grow and evolve with your needs. Whether you're expanding your data operations, adopting new AI technologies, or scaling to handle more data, Shakudo can adapt. But don't just take our word for it - let's discuss your growth plans and show you how Shakudo can support your journey, both now and in the future.

Trusted By Industry Leaders

The Data and AI Operating System That Runs on Your Infrastructure

Shakudo creates compatibility across the best-of-breed data tools for a more reliable, performant, and cost effective data and AI operating system.

| Stack Components

Hundreds of Tools, Thousands of Connectors — One Click Away

Shakudo provides seamless integration with over 100 leading data stack components, catering to the most demanding enterprise needs.

| WHy SHakudo

Shakudo Standardizes Data Stack Environment Configurations and Automates Enforcement

Cloud compute management and autoscaling
Multi-GPU and multi-cluster orchestration and auto-scaling policies
Organizational resource management constraints and policies
Storage (both long term data storage and operational real time data stores)
Network policies that allow the stack components to work together
Identity, access control and secret management, including common secrets across tools
Software package versions
Logging, monitoring and alerting
Platform-wide audit trails and data lineage that span the entire stack

Backed by enterprise-grade security

Shakudo is deployed as a Kubernetes cluster inside the customer’s cloud or on-prem infrastructure. This means there is no data egress, and every aspect of your data can be wrapped with user-level data and privacy controls.
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Single sign-on

Securely integrate with your identity provider and enable users to log in with SSO.

SOC 2 Type I certified

We adheres to SOC 2 Type I standards for security, availability, and confidentiality.

Control

Shakudo is deployed in your own cloud or on-prem infra. You own your own data.

Availability

The platform's architecture is designed to guarantee high availability, minimizing downtime.

Testimonials

Driving Innovation Across Industries

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real estate | $77.6 Billion AUM

"We chose Shakudo over alternatives because it gave us the flexibility to use the data stack components that fit our needs knowing that we can evolve the stack to keep up with the industry."

Neal Gilmore

Senior Vice President, Enterprise Data & Analytics
@ QuadReal Property Group
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Healthcare | #1 Software for Autism and IDD Care

"We use Shakudo to shorten development time and time to impact. The platform provides us with a value-added shortcut to get from Point A to Point Z much faster. It’s now weeks or months vs months and years."

Chris Sullens

CEO @ CentralReach
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Digital Analytics | 40% of worldwide internet users

"Almost overnight, Shakudo's product helped us move past many of those struggles so we could focus on solving business problems instead of scaling infrastructure."

Adam Dille

SVP of Product & Engineering @ Quantum Metric
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Sports | NBA BAsketball Team

"In the last two months, we’ve been able to Develop and deploy 4 new AI applications in 2 months, amounting to significant return on operation."

Ben Levicki

AI Solutions Architect @ Cleveland Cavaliers
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Energy | 275% growth in customer base

"Not very often I find slam dunk products like Shakudo!"

Mike Kirkup

Chief Technology Officer @ EnPowered
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climate Risk | processes 33+ billion data points

"With the help of the Shakudo platform, we were able to massively scale our production pipelines, while working collaboratively to meet our product goals."

Andrew Wiebe

Chief Science Officer @ RiskThinking.AI

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Ready to see Shakudo in action?

Neal Gilmore