Monte Carlo References Capped?

Access even more references from these marketplace competitors

  • 4.8 / 5.0 (980)
    15+ References
  • 4.7 / 5.0 (6097)
    Premium809+ References
  • 4.8 / 5.0 (2192)
    34+ References

Monte Carlo Case Studies

  • How Checkout.com Achieves Data Reliability at Scale with Monte Carlo

  • How PayJoy Drives Data Trust with Monte Carlo

  • currently locked
  • Reference Rating
    4.7 / 5.0
    Customer References15 total
    About

    Datafold builds tools for automating analytical data quality management. It helps companies extract more value from their analytical data by automating Data Engineering workflows like data quality monitoring. It also simplifies data QA by enabling instant table comparison and profiling. They help Data teams find, understand, test and monitor data so they can focus on what matters - effective analytics.

  • Reference Rating
    4.7 / 5.0
    Customer References809 total
    About

    Pegasystems Inc. is the leader in software for customer engagement and operational excellence. Pega’s adaptive, cloud-architected software – built on its unified Pega® Platform – empowers people to rapidly deploy, and easily extend and change applications to meet strategic business needs. Over its 30-year history, Pega has delivered award-winning capabilities in CRM and BPM, powered by advanced artificial intelligence and robotic automation, to help the world’s leading brands achieve breakthrough business results.

  • Reference Rating
    4.7 / 5.0
    Customer References34 total
    About

    meshIQ is the industry’s first observability platform in a single pane of glass to manage and monitor complex M/E/S/H landscapes. Built for application & integration DevOps professionals who rely on Messaging, Event Processing and Streaming across Hybrid Cloud infrastructure(s), it offers complete management, control and tracking across the MESH. Trusted by some of the largest companies in the world, the platform significantly reduces the risks to application stability and performance, speeds up time to resolution (MTTR), delivers on SLAs, and improves customer experience. From modern Kafka-based streaming to legacy messaging technologies like IBM MQ, meshIQ supports every major platform out there.

  • currently locked
  • currently locked
  • currently locked
  • currently locked
  • currently locked
  • currently locked
  • currently locked
  • currently locked
  • currently locked
  • currently locked
  • currently locked
  • currently locked