Pub/Sub for Tables

Effortless data integration that amplifies the value of your data investments.

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.

$ pip install tabsdata

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Pub/Sub for Tables

Effortless data integration that amplifies the value of your data investments.

$ pip install tabsdata

Copy

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Typical use cases

Instant ETL: Always-fresh data

Stop waiting for nightly batch jobs. With Tabsdata, data platforms update as soon as new data is published anywhere, so your dashboards and models always reflect the latest state. You get the outcomes of real-time without the complexity of stream processing.

Trusted data: Lineage built-in

Every update tells its full story. With Tabsdata, lineage and provenance are captured automatically with complete accuracy. You can see where data came from and what happened to it at every step. Trust is not a guess, it is built-in and provable.

Declarative DataOps: Simplicity at scale

Stop juggling ingestion tools and preparation pipelines. With Tabsdata, data flows are fully declarative, so ingestion and preparation happen in one system that is easy to operate and manage. Every table is immutable and versioned, which makes complex data issues easy to trace and resolve.

import tabsdata as td

@td.publisher(
    source=td.SalesforceReportSource(
        report=SALESFORCE_REPORT,
        find_report_by="name",
        column_name_strategy="columnName",
        credentials=td.SalesforceTokenCredentials(SALESFORCE_USER, SALESFORCE_PASSWORD, SALESFORCE_TOKEN)
    ),
    tables="sf_snapshot",
)

def salesforce_publisher(tf: td.TableFrame):
    return tf

import tabsdata as td
# Ingesting data from Salesforce

@td.publisher(
    source=td.SalesforceReportSource(
        report=SALESFORCE_REPORT,
        find_report_by="name",
        column_name_strategy="columnName",
        credentials=td.SalesforceTokenCredentials(
            SALESFORCE_USER,
            SALESFORCE_PASSWORD,
            SALESFORCE_TOKEN,
        ),
    ),
    tables="sf_snapshot",
)
def salesforce_pub(
    tf: td.TableFrame,
):
    return tf

Modernize your ETL

Don't remain locked into Informatica PowerCenter and other legacy ETL systems. These platforms were built for a different era, using model-to-model mappings that lack a modern equivalent. Tabsdata provides that path forward by translating these mappings into versioned, immutable tables within a declarative system. The result is a simpler data stack that is easier to manage, cloud-ready, and built for the future.

Reimagine your data integration today

Let's connect

Pub/Sub for Tables

Pub/Sub for Tables

The problem

How Tabsdata helps

Typical use cases

Reimagine your data integration today