
Bacula Enterprise provides backup and recovery for enterprise, HPC, defense, government and research environments. Developed by Switzerland-based Bacula Systems, it protects physical, virtual, container, database, SaaS and cloud workloads from one platform.
Support data sovereignty with on-premises deployment without mandatory cloud control planes, call-home licensing or continuous internet access. Retain control over backup location, infrastructure, encryption keys and recovery procedures.
Strengthen ransomware resilience with physically air-gapped tape, offline copies, immutable storage options, encryption, MFA, access controls and file integrity verification.
For petabyte-scale HPC datasets, HPC Accelerator, parallel processing and Lustre, GPFS and ZFS integrations help protect large file populations. Use disk, tape, object storage and cloud targets, with no licensing charges based on protected data volume.
VM coverage includes VMware vSphere/ESXi, Hyper-V, Proxmox, Nutanix AHV, XenServer, XCP-ng, KVM, QEMU, Libvirt, Red Hat Virtualization, OpenStack, Amazon EC2 and Azure VMs. Protect Kubernetes, OpenShift and Docker containers.
Database coverage includes Oracle, SQL Server, PostgreSQL, MySQL, Percona for MySQL, MariaDB, SAP HANA, Sybase ASE, IBM Db2, MongoDB and InterSystems IRIS, plus Amazon RDS integration. Other workloads include Hadoop HDFS, Microsoft 365 and Google Workspace.
BWeb administration, scheduling, monitoring, reporting, deduplication and compression simplify operations. Restore files, application data, VMs and supported bare-metal systems.
Its open-core architecture combines Bacula's open-source foundation with enterprise-only plugins, security features, management tools and commercial support.
Configure plugins, retention policies, storage and support to match your security requirements and recovery objectives. Contact Bacula Systems for a demonstration or evaluation.
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A comprehensive managed compute platform designed to rapidly and securely deploy and scale containerized applications. Developers can utilize their preferred programming languages such as Go, Python, Java, Ruby, Node.js, and others. By eliminating the need for infrastructure management, the platform ensures a seamless experience for developers. It is based on the open standard Knative, which facilitates the portability of applications across different environments. You have the flexibility to code in your style by deploying any container that responds to events or requests. Applications can be created using your chosen language and dependencies, allowing for deployment in mere seconds. Cloud Run automatically adjusts resources, scaling up or down from zero based on incoming traffic, while only charging for the resources actually consumed. This innovative approach simplifies the processes of app development and deployment, enhancing overall efficiency. Additionally, Cloud Run is fully integrated with tools such as Cloud Code, Cloud Build, Cloud Monitoring, and Cloud Logging, further enriching the developer experience and enabling smoother workflows. By leveraging these integrations, developers can streamline their processes and ensure a more cohesive development environment.
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GenomiX
GenomiX is a next-generation unified platform for genomics that bridges the gap between research discovery and clinical application. Purpose-built to manage the vast complexity of multi-omics data, it supports DNA, RNA, epigenetics, and liquid biopsy pipelines while integrating seamlessly with LIMS, EHRs, and research databases. Its composable architecture offers unmatched flexibility—cloud-agnostic deployment across AWS, Azure, or GCP, container-native orchestration with Kubernetes, and workflow automation using Nextflow, WDL, CWL, or Snakemake. Researchers can ingest data directly from NGS instruments in formats like FASTQ, BAM, VCF, and CRAM, while storage is optimized with a BYOB (Bring Your Own Bucket) model and tiered lifecycle management. GenomiX enables reproducibility and scalability, with Git-based version control, GPU/FPGA acceleration, and integrations with AI/ML platforms like Databricks and SageMaker. Users can leverage built-in tools such as GATK, DESeq2, and FastQC, or extend the ecosystem with their own scripts and pipelines in R, Python, or Bash. Collaboration is enhanced with role-based access, NHS Identity integration, and MatchX Data Federation, enabling cross-institution data sharing while maintaining strict compliance. End-to-end encryption, provenance tracking, and regulatory alignment (GDPR, HIPAA, NHS DSPT) ensure the highest levels of security. From visual dashboards and mutation heatmaps to advanced machine learning predictions, GenomiX provides actionable insights that accelerate decision-making. Ultimately, GenomiX empowers healthcare organizations, research labs, and pharmaceutical companies to transform genomics into scalable, secure, and clinically impactful outcomes.
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Thoa
Thoa is a cutting-edge bioinformatics platform hosted in the cloud that tackles six significant hurdles researchers encounter regularly: resolving conflicts with environments and dependencies, managing workflows efficiently, ensuring reproducibility, scaling computing resources effectively, promoting collaboration, and facilitating data sharing.
Researchers can run Nextflow and Snakemake workflows on a fully managed cloud infrastructure with up to 12TB of RAM, eliminating the need for any DevOps configuration. Furthermore, Thoa incorporates an AI-driven debugging tool that quickly resolves environment-related issues in real-time, helping to prevent pipeline failures that could occur after prolonged execution. Each operation is also logged in detail, capturing the entire execution context, which includes information about the data, software versions, environmental settings, and machine configurations for future reference.
Users can seamlessly access and share extensive analyses with a single click, enabling recipients to view and rerun results without needing to create an account or replicate the infrastructure. The platform also supports a wide range of technologies, such as Docker, Conda, Singularity, Python, and R, making it a flexible resource for scientists. By streamlining research workflows and enhancing collaboration among researchers, Thoa emerges as an essential tool in advancing scientific discovery. Ultimately, this innovative platform ensures that researchers can focus more on their scientific inquiries rather than the technical intricacies of their workflows.
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