Datagrid AI

Enterprise-grade data pipeline automation for scalable, compliant data infrastructure

Venture Funded$30MSeries AAccelSequoia Capital

data orchestrationpipeline automationscalable infrastructuredata governance

About

Datagrid AI enables enterprises to automate and orchestrate complex data pipelines at scale, ensuring robust data governance and compliance with industry standards. Designed for high-volume, mission-critical environments, it supports seamless integration and operational efficiency across diverse data sources and cloud platforms.

This description came from a bulk import and has not yet been checked against the vendor's own page. Treat it as unverified.

Enterprise Readiness

from cataloged data

Not scored. Nobody has checked this entry against Datagrid AI’s own site yet, so the signals below are unverified and we will not turn them into a rating. The breakdown shows what our record holds.

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, On-Premise, Hybrid

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

5 documented use cases

Company MaturityStrong

Founded 2019 · Series A

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Independently sourced

Pulled directly from regulator filings and platform APIs. No vendor or editorial input.

Status page

status page· via other

Enterprise Use Cases

Automated ETL pipeline management

Real-time data streaming orchestration

Cross-cloud data synchronization

Regulatory compliance data workflows

Enterprise data governance enforcement

Integrations

AWSAzureGoogle CloudSnowflakeDatabricksApache KafkaAirflowTerraform

How Datagrid AI compares

Tool	Readiness	Pricing	Deployment	Compliance	Integrations
Datagrid AI	Not scored	Enterprise	Cloud, On-Premise, Hybrid	—	8
Airbyte	Not scored	Freemium	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Astronomer Astro	70 · Strong	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Elastic AI	70 · Strong	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Datagrid AI used for?

Datagrid AI is enterprise-grade data pipeline automation for scalable, compliant data infrastructure. It is commonly used for automated etl pipeline management, real-time data streaming orchestration, cross-cloud data synchronization, and regulatory compliance data workflows.

Is Datagrid AI free, and how is it priced?

Datagrid AI uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.

How can Datagrid AI be deployed?

Datagrid AI supports Cloud, On-Premise, and Hybrid deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

What does Datagrid AI integrate with?

Datagrid AI documents 8 integrations, including AWS, Azure, Google Cloud, Snowflake, Databricks, and Apache Kafka.

When was Datagrid AI founded?

Datagrid AI was founded in 2019 and has raised $30M in funding.

Is Datagrid AI enterprise-ready?

Based on cataloged data, Datagrid AI has an Enterprise Readiness score of 65/100 (Strong tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingEnterprise

DeploymentCloud, On-Premise, Hybrid

Founded2019

Funding$30M

CategoryData & MLOps

Procurement

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