Sparkflows : Self-Service AI, Analytics & Data Platform
Sparkflows.io · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Sparkflows is an enterprise-grade, self-service AI and data platform for building AI Agents, Generative AI applications, Data Analytics, Data Science, Data Engineering workflows, and Business Intelligence solutions on a unified, low-code/no-code platform.
Deployed via AMI on Amazon EC2, Sparkflows enables technical and business teams to move from enterprise data to analytics, AI, and intelligent automation without extensive coding. With 450+ pre-built processors, 50+ ready-to-use AI agents, and pre-built agent templates, teams can accelerate solution
Show the rest of the publisher’s description (10 more lines)
AI Agents & Intelligent Automation
Build and orchestrate intelligent agents using Sparkflows' visual Agent Builder and drag-and-drop workflow designer. Create multi-step and multi-agent workflows that combine LLMs, RAG, enterprise data, ML models, APIs, and business logic. Pre-built agent templates enable teams to quickly deploy and customize solutions across Sales, Marketing, Customer Support, Analytics, IT, and other business functions.
Data Analytics & BI
Give business and analytics teams a self-service environment for data preparation, blending, exploration, visualization, dashboards, KPIs, and analytical applications. Users can move from raw enterprise data to actionable insights without depending on specialized development teams.
Data Science & ML
Build, train, deploy, and operationalize machine learning models using H2O, Scikit-learn, SparkML, and XGBoost. Support classification, regression, clustering, NLP, experimentation, and MLOps, with ML models available directly within analytics and AI agent workflows.
Data Engineering
Design, automate, and scale data pipelines using visual workflows and push-down compute across AWS services. Support data preparation, transformation, quality, scheduling, lineage, and governance across structured and unstructured data.
AWS Integration
Built for AWS, Sparkflows integrates across the AWS data, AI, and compute ecosystem. Run workloads on Amazon EC2, EMR, and AWS Glue; connect to Amazon S3, Redshift, and Kinesis; build and deploy ML models with SageMaker; and leverage foundation models through Amazon Bedrock. Sparkflows brings these services together through a unified visual development environment.
Highlights
Highlighted by the publisher on AWS Marketplace.
Unlock more value from your AWS data with Sparkflows. Combine Data Analytics, BI, AI Agents, Generative AI, and Data Science in a self-service, low-code/no-code platform. Build agents, automate workflows, create dashboards, and develop AI/ML applications faster. Sparkflows integrates with Amazon Bedrock, SageMaker, EMR, S3, Redshift, Glue, and Kinesis, helping teams turn enterprise data into insights, intelligent automation, and production-ready AI all from one unified platform.
Connect enterprise data through Amazon S3, Redshift, and Kinesis. Run workloads on EC2, EMR, and AWS Glue. Build and deploy ML models with SageMaker and power GenAI and AI agents with Amazon Bedrock all from a unified platform.
Deploy governed AI and analytics with role-based access, audit trails, monitoring, and enterprise security. SOC 2, ISO/IEC 27001:2022, and HIPAA certifications support enterprise requirements, with 90+ industry accelerators across BFSI, Healthcare, CPG, Manufacturing, and more.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Plans and pricing as listed
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Refund terms
As stated by the publisher on AWS Marketplace.
Please contact us at support@sparkflows.io if there is need for refund.
Sources
Publisher resources
4 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.