Shakudo is the operating system on top of your AWS instance that allows you to pick the best-of-breed data tools for your needs, while providing a platform with a fully automated DevOps experience. Shakudo's operating system creates a more reliable, performant and cost effective data stack, with complete data security.
Shakudo is the operating system for data stacks. Our platform simplifies the modern data stack by eliminating maintenance, and automating DevOps. We enable data stacks to be future proof by providing fully configured connections to over 170 industry leading open source and commercial tools. When deployed on AWS, Shakudo enables organizations to get the most out of their data, with best in class tooling, backed by the reliability of Amazon.
Some of the use cases being deployed on Shakudo include:
Data preparation, storage and pipelines
Machine learning model training and serving
GenAI applications
Advanced BI and reporting
Once deployed, Shakudo enables organizations to:
Rapidly experiment and deploy POCs with innovation technology
Reduce overhead and maintenance on the data stack
Streamline scaling from testing to production environments
Eliminate costs involved in data and AI use case deployment
Shakudo works with innovative organizations in finance, healthcare, insurance, energy, defence, space and software development.
Highlights
Secure: As a completely self hosted solution, Shakudo maintains an organizations data security and privacy postures.
Extensible: Shakudo offers the widest number of data and AI tools on the market, and easily grows as business needs evolve.
Flexible: Choose the tooling you need today, with no future lock-in or proprietary codebases to work from.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
You buy one dimension: Shakudo Enterprise, priced as an annual platform fee. Billing runs on a contract term, and you set the quantity in Units. There are no separate tiers or instance sizes to choose from. Your total scales with the number of Units you commit to. The platform runs inside your own cloud environment, so infrastructure and compute costs stay on your side. This fee covers the operating layer that manages and orchestrates your data and AI tools. For quantity sizing specific to your workload, contact the vendor.
Top-of-mind questions for buyers
What does one Unit represent for the Shakudo Enterprise annual fee?
The dimension is billed in Units on an annual contract. The marketplace listing does not define what a single Unit maps to in workload or capacity terms. For the exact meaning and how many Units fit your deployment, contact the vendor to size against your workload.
Does the platform fee include the cloud infrastructure and GPU compute my AI workloads use?
No. Shakudo runs inside your own cloud environment or on-premises. The annual fee covers the operating layer that orchestrates and manages your data and AI tools. Underlying compute, GPU, and storage costs stay on your side and are billed separately by your infrastructure provider.
What capabilities does the annual platform fee cover?
The fee covers the operating layer that manages your data stack. This includes isolated development environments, job scheduling, autoscaling compute, storage, network policies, identity and access control, software updates, and platform-wide audit trails and monitoring across your connected tools.
docs.shakudo.io+1
Helpful?
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
LakeSail is a high-performance data and AI platform powered by a Rust-native compute engine. Run data engineering workloads 8x faster with 94% lower hardware cost than Apache Spark (derived TPC-H). It's Spark-compatible: your existing PySpark and Spark SQL code runs without change. Deploys in your AWS account with BYOC.
Sherlocks are your SRE teammates that sit in your Slack alert channels to help you manage alerts, do RCAs in seconds and provide short & long term remediation steps.
BobCLI Pro is the only AI engineering partner built for developers who refuse to trade sovereignty for convenience. Your source code never leaves your machine. Connect to Claude via AWS Bedrock, Gemini, OpenAI, and Grok, or run entirely free on your own hardware via Ollama. Sovereign. Flexible. Yours.
The VAST Data AI Operating System unifies on-premises and cloud environments into a single, intelligent data platform. It removes the operational boundary between where data lives and where AI compute runs, so enterprises can use cloud accelerators and services without creating parallel datasets, migration projects, or new silos. The same VAST software and capabilities are delivered consistently across supported clouds, making it possible to extend an existing environment into the cloud, or the cloud to on-prem, while keeping one data plane and one operational model.
Concerning the coordination of various data tools, Shakudo has been perfect in filling the gap. It enables me to get the best out of different tools that are in our data stack rather than designing my data pipelines within a specific stack.
What do you dislike about the product?
It does not appear that it possesses much of a data transformation capability. For most complex data manipulation tasks, I still have to resort to using individual tools within the stack.
What problems is the product solving and how is that benefiting you?
Shakudo has controlled vendor lock-in and we are free to use appropriate tools based on different stages of data pipeline. It also helps in the achievement of efficient performance levels while keeping costs at the barest minimum.
Giorgi B.
P
Reviewed on Aug 09, 2024
Review provided by G2
What do you like best about the product?
Shakudo has been useful in the way that it can connect and integrate a variety of data tools. I can use all the remaining data platforms in the data stacks and don’t get locked into one specific data environment.
What do you dislike about the product?
By using Shakudo, there doesn’t appear to be a built-in ability to transform data. Most of the datasets that we use have a lot of irrelevant or duplicated noise that needs to be removed in order to perform analysis.
What problems is the product solving and how is that benefiting you?
Shakudo has brought the issue of vendor lock-in for data tools to a natural conclusion for us. We can now select the required platform for each concrete job, which will help get the maximum amount of value from the data.