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    Tabsdata

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    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

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    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

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Rhel 9.6

    Deployed on AWS
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    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.
    Financing for AWS Marketplace purchases

    Pricing

    Pricing is based on a fixed subscription cost and actual usage of the product. You pay the same amount each billing period for access, plus an additional amount according to how much you consume. The fixed subscription cost is prorated, so you're only charged for the number of days you've been subscribed. 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.

    Fixed subscription cost

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    Monthly subscription
    $3,500.00/month

    Usage costs (208)

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    • ...
    Dimension
    Cost/hour
    t3a.large
    Recommended
    $0.00
    t3.micro
    $0.00
    m6idn.xlarge
    $0.00
    r6in.32xlarge
    $0.00
    m5zn.6xlarge
    $0.00
    m5ad.12xlarge
    $0.00
    c6id.metal
    $0.00
    m6in.metal
    $0.00
    r6idn.16xlarge
    $0.00
    m6i.2xlarge
    $0.00

    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.

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    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.

    Usage information

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    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

    Tabsdata AMI Release Notes What is Included

    • Preconfigured Tabsdata server on RHEL 9 (x86_64)
    • Tabsdata CLI ready to use immediately after launch
    • Automatic first-boot setup and virtual python environment initialization
    • Built-in HTTPS with generated self-signed certificates
    • Automatic detection of public/private IPs and correct bind addresses
    • Clean instance startup with port validation
    • Interactive, guided setup flow for creating your first instance
    • Support for running multiple Tabsdata instances on the same VM

    Additional details

    Usage instructions

    Set Up Security Groups Ensure you have a security group set with:

    1. Inbound Rules including Port 22
    2. Inbound rules that include the ports you will be running your TabsData server on.

    Connect to the VM Launch an EC2 instance from the AMI. SSH into it as the default user: ssh -i /path/to/your-key.pem ec2-user@<EC2_PUBLIC_DNS>

    Switch to the tabsdata user When you log in as ec2-user you will be prompted to switch to the preconfigured tabsdata user. Selecting Yes loads the environment that already includes Tabsdata configuration, helper scripts, a ready to use Python virtual environment (tabsdata-env), and the tabsdata CLI on your PATH. To switch manually later: sudo su - tabsdata All steps below assume the tabsdata user.

    Option A: Quickstart (recommended) Run the interactive setup tool: tabsdata init This guides you through creating or starting an instance, selecting external and internal API sockets, and generating a self signed HTTPS certificate. After setup, access the Tabsdata UI in your browser using the configured socket. If you are using HTTPS, run this once per new server socket: td auth add-cert --server https://<PUBLIC_IP>:<PORT> --pem cert.pem

    Option B: Manual setup

    Activate a Python virtual environment You may use the provided tabsdata-env or create your own.

    Create or configure a Tabsdata instance Example: tdserver create --instance tabsdata This creates ~/.tabsdata/instances/<INSTANCE_NAME>/ which contains workspace and config files.

    Configure ports Edit: ~/.tabsdata/instances/<INSTANCE_NAME>/workspace/config/proc/regular/apiserver/config/config.yaml

    Set your external and internal sockets: addresses: 0.0.0.0:<external_port> internal_addresses: 127.0.0.1:<internal_port>

    The external ip address must be either 0.0.0.0 or the EC2 private IP address. Each Tabsdata instance must use unique internal and external ports.

    Configure HTTPS Follow Setting up Tabsdata over HTTPS https://docs.tabsdata.com/latest/guide/security/main.html 

    to create a self signed certificate. To use a CA issued certificate, upload the CA certificate and key into config/ssl/ and point the config.yaml addresses to the certificate hostname.

    Start the server tdserver start

    NOTE There is a bug where tdserver stop fails to release the ports used by the apiserver. You must manually kill the process. ps aux | grep apiserver Then kill the process.

    You can also run tabsdata init which sources a function called kill_legacy_process that automates this action.

    Next steps If using HTTPS, add the certificate for CLI access: td auth add-cert --server https://<socket> --pem cert.pem This must be done for every new socket your server is run on.

    Log in through the CLI: td login --server https://<socket> --user admin --password tabsdata --role sys_admin

    After login you can create publishers, transformers, subscribers, and triggers. These can be configured through the Tabsdata UI or through the CLI. Once configured, workflows can be registered, executed, and monitored directly on the VM.

    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.

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