Datasheet

Apica Lake

Apica Lake Flexible Data Storage Solution (Data Sheet)

Apica Lake Summary

Apica Lake is a revolutionary telemetry data storage solution that gives you complete control over where and how your observability data is stored. Built on our patented InstaStore™ technology, Lake provides infinite retention with object storage while maintaining 100% data ownership and open formats, eliminating vendor lock-in and reducing storage costs.

The Challenge: Observability, Complexity and Cost Explosion

Modern enterprises face overwhelming challenges managing massive volumes of telemetry data across complex hybrid environments. Traditional storage solutions force difficult trade-offs between cost, performance, and flexibility:

  • Storage Cost Explosion: As data volumes grow exponentially, traditional storage architectures require expensive scaling that quickly outpaces IT budgets, forcing organizations to choose between data retention and cost control.
  • Tiered Storage Complexity: Multi-tier storage architectures introduce operational overhead, data retrieval delays, and complex management requirements that increase both costs and the risk of data loss.
  • Vendor Lock-in: Proprietary storage formats trap organizations in expensive relationships with limited flexibility to migrate data or integrate with new solutions as business needs evolve.
  • Limited Retention Options: Traditional solutions force premature data deletion due to cost constraints, eliminating valuable historical data needed for compliance, analysis, and troubleshooting.

Key Use Case Challenges

  • Long-term Compliance: Meeting regulatory requirements for data retention while controlling storage costs and maintaining rapid access for audits and investigations.
  • Hybrid Cloud Operations: Managing consistent data storage across onpremises, cloud, and multi-cloud environments without sacrificing performance or increasing complexity.
  • Cost Optimization: Balancing the need for comprehensive data retention with budget constraints while maintaining query performance for operational needs.
  • Data Portability: Ensuring data remains accessible and transferable as organizational needs change and technology evolves, avoiding costly migrations or vendor dependencies.
  • Capacity Planning: Eliminating the need for complex capacity planning and expensive storage infrastructure investments as data volumes scale unpredictably.