Sold by: Tabsdata
Deployed on AWS
AWS Free Tier
Tabsdata is a modern ETL platform built on a publish/subscribe model for tables, enabling data teams to move beyond pipelines. It simplifies ingestion, transformation, and delivery across cloud and on premises systems while automatically managing lineage, provenance, and governance for trusted, AI ready data.
Overview
Tabsdata is a new foundation for enterprise data integration that replaces fragile pipelines with a declarative, publish/subscribe model for tables. Data producers can publish trusted datasets once, while consumers across analytics, research, and AI subscribe to them as governed, versioned tables. Every dataset carries built in lineage and provenance, ensuring that data movement is transparent, explainable, and reproducible end to end. By treating lineage as part of the architecture, Tabsdata unifies ingestion, transformation, and delivery into a single system of record. This eliminates redundant ETL jobs, lowers operational overhead, and reduces latency across platforms. Provenance metadata enables record level traceability and rapid impact analysis, strengthening compliance and trust while accelerating delivery. Tabsdata enables self service at scale. Data engineers, analysts, and researchers can discover, subscribe, and enrich data through intuitive interfaces while governance and consistency remain automatic. The result is a leaner, faster, and more resilient data ecosystem ready for analytics, research, and AI innovation at enterprise scale.
Highlights
- Modern ETL without pipelines: Tabsdata replaces fragile ETL pipelines with a declarative, publish/subscribe model for tables, simplifying data integration and delivery across cloud and on prem systems.
- Built in lineage and provenance: Every dataset carries version history, lineage, and record level provenance, ensuring transparent, auditable, and trusted data movement for analytics and AI.
- Unified ingestion, transformation, and delivery: A single system of record that eliminates redundant jobs, lowers operational overhead, and accelerates access to governed, AI ready data.
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Rhel 10.1
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
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
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimensions summary
Tabsdata is free software, so you pay no license fee for the product itself. Your cost comes only from the AWS EC2 instance you run it on, billed by the hour. Each dimension names a specific EC2 instance type, grouped into families like t-series burstable, m-series general purpose, c-series compute, and r-series memory-optimized machines. Sizes range from nano and large up to 48xlarge and bare-metal options. Larger sizes give more CPU and memory and cost more per hour. Pick the instance that fits your workload; hourly billing scales with the instance you choose.
Top-of-mind questions for buyers
You pay the hourly rate for the AWS EC2 instance that runs Tabsdata. The software itself carries no license charge. Each dimension is one EC2 instance type, billed per hour it runs. The rate reflects the CPU, memory, and storage of that machine size, not any product fee.
Hourly charges apply only while the instance runs. A fully stopped instance stops accruing the hourly software rate. Attached storage may still incur standard AWS storage fees while the instance is stopped, but the hourly meter counts running time only.
Each dimension maps to one EC2 instance type. The instance family and size determine the rate. Compute-optimized (c-series), general purpose (m-series), memory-optimized (r-series), and burstable (t-series) families differ in CPU and memory balance. Larger sizes, up to 48xlarge and bare-metal, carry more resources and higher hourly rates.
tabsdata.com
Helpful?
Vendor refund policy
Refunds are handled in accordance with AWS Marketplace policies. If you believe you were charged in error or experienced an issue preventing use of the product, contact us at support@tabsdata.com with your AWS account ID and purchase details. Requests will be reviewed and processed as permitted by AWS Marketplace guidelines.
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.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Version 1.0.3
Changes:
- Removed the large post-launch bash setup script
- Simplified CLI access
- Replaced public IP binding and certificate setup with local SSH port forwarding
Impact:
- Users no longer need to expose services through a public IP address
- Users no longer need to create certificates for standard local access
- Access is now handled through SSH port forwarding
Access: Use local SSH port forwarding to connect to the AMI services.
Additional details
Usage instructions
Tabsdata AMI Usage Instructions
- Configure Security Groups
Ensure the instance security group allows SSH access.
Required inbound rule: Type: SSH Port: 22
- SSH Into the Instance
From your local machine, connect to the EC2 instance
Command: ssh -i "your-key.pem" ubuntu@your-ec2-hostname.compute.amazonaws.com
- Switch to the Tabsdata User
Command: sudo su - td-user
- Activate the Tabsdata Virtual Environment
Command: source td-venv/bin/activate
- Upgrade Tabsdata
Command: uv pip install --upgrade 'tabsdata[all]'
- Start the Tabsdata Server
Command: tdserver start
By default, Tabsdata runs on port 2457.
- Access the Tabsdata UI with Local Port Forwarding
Open a new terminal on your local machine.
Command: ssh -i "your-key.pem" -L 2457:127.0.0.1:2457 ubuntu@your-ec2-hostname.compute.amazonaws.com
After the port forwarding connection is active, open the Tabsdata UI in your browser.
URL:
Resources
Vendor resources
Support
Vendor support
Tabsdata provides community support for AWS Marketplace based deployments. To avail this effort, please post your question on our community support channel on Slack at: https://tabsdata community.slack.com/
We also have a support line at support@tabsdata.com .
AWS infrastructure support
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.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.