ONEMOREDATA LTD

ONEMOREDATA LTD is a data infrastructure company focused on high-velocity data ingestion and processing for data-intensive businesses.

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Provides infrastructure software for processing large-scale data streams.

ONEMOREDATA LTD is a data infrastructure company focused on high-velocity data ingestion and processing for data-intensive businesses. The company's flagship product, Bagger, is designed to handle petabyte-scale data workloads using proven open-source technologies like PostgreSQL, Apache Kafka, and Apache Parquet. While the company's founding details and headquarters location are not publicly disclosed, its website emphasizes a focus on building scalable, trusted data solutions for modern enterprises.

ONEMOREDATA positions itself as a provider of infrastructure tools rather than end-user analytics, targeting technical teams struggling with large-scale data pipelines. The company's approach leans heavily on open-source components, which may appeal to organizations wary of vendor lock-in but also raises questions about differentiation from self-built solutions. No funding rounds, revenue figures, or employee headcount are publicly available as of mid-2026, suggesting either early-stage status or deliberate privacy. What stands out currently is their narrow focus on data ingestion challenges at extreme scales—a pain point for cloud-native companies and data platform teams.

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Who buys this

  • Cloud-native enterprises with petabyte-scale data needs
  • Data platform engineering teams at mid-to-large tech companies
  • Infrastructure teams building internal data pipelines
  • Companies migrating legacy ETL systems to modern stacks

Strengths and what to watch

Strengths

  • Leverages widely-adopted open-source technologies (PostgreSQL, Kafka, Parquet) reducing adoption friction
  • Focuses narrowly on high-volume ingestion—a documented pain point in data architectures
  • Avoids proprietary lock-in by building on open standards

Watch for

  • No disclosed funding or financials makes growth trajectory unclear
  • Heavy reliance on open-source components may limit technical differentiation
  • Competing with both commercial vendors and in-house engineering teams building similar solutions

Key Information

Founded
2019
Headquarters
Perth, Perth

Frequently Asked Questions

What does ONEMOREDATA LTD do?

ONEMOREDATA LTD provides infrastructure software for processing large-scale data streams. Their flagship product Bagger handles petabyte-scale workloads using open-source technologies like PostgreSQL and Apache Kafka. The company focuses on high-velocity data ingestion for enterprises with intensive data processing needs.

How does ONEMOREDATA's Bagger handle large data volumes?

Bagger processes petabyte-scale data using proven open-source components including PostgreSQL for storage, Apache Kafka for streaming, and Parquet for columnar formats. This architecture enables high-throughput ingestion while avoiding proprietary lock-in, targeting organizations needing scalable data pipeline solutions.

Who typically uses ONEMOREDATA's solutions?

Primary users include cloud-native enterprises with petabyte-scale needs, data platform engineering teams, and infrastructure groups building internal pipelines. The tools cater to technical teams modernizing legacy ETL systems or managing extreme-scale data ingestion challenges.

What are the advantages of ONEMOREDATA's open-source approach?

Building on PostgreSQL, Kafka, and Parquet reduces adoption friction since these technologies are widely understood. The approach minimizes vendor lock-in risks while providing enterprise-grade scalability. However, heavy open-source reliance may limit differentiation from custom-built solutions.

What should companies consider before using ONEMOREDATA?

Evaluate whether your team needs pre-built tooling versus developing in-house solutions. Consider data volume requirements—Bagger specializes in petabyte-scale ingestion. The lack of disclosed financials may require additional due diligence for enterprise procurement processes.

How does ONEMOREDATA compare to building custom data pipelines?

ONEMOREDATA offers pre-integrated open-source components with enterprise support, potentially saving development time. However, organizations with strong engineering teams might replicate similar architectures internally. The trade-off involves implementation speed versus long-term customization control.

Sources

  1. onemoredata.com — Product offerings and technical approach
  2. www.linkedin.com — Industry context on data automation trends
  3. www.darkreading.com — Regulatory environment for data systems
  4. forums.theregister.com — Broader industry debates about data handling