Best Operations Management Software for Apache Spark

Find and compare the best Operations Management software for Apache Spark in 2025

Use the comparison tool below to compare the top Operations Management software for Apache Spark on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Sematext Cloud Reviews
    Top Pick
    Sematext Cloud provides all-in-one observability solutions for modern software-based businesses. It provides key insights into both front-end and back-end performance. Sematext includes infrastructure, synthetic monitoring, transaction tracking, log management, and real user & synthetic monitoring. Sematext provides full-stack visibility for businesses by quickly and easily exposing key performance issues through a single Cloud solution or On-Premise.
  • 2
    Style Intelligence Reviews
    Style Intelligence from InetSoft is a complete business intelligence platform that empowers companies with the ability to analyze, monitor, report and collaborate on business and operational data coming from different sources in real-time. Its top features include a data mashup Data Block architecture and professional atomic block modeling tool. There is also a database write-back option. Style Intelligence is robust and easy-to-use. It offers granular security, multitenancy support, multiple integrations, and is fully scalable.
  • 3
    TiMi Reviews
    TIMi allows companies to use their corporate data to generate new ideas and make crucial business decisions more quickly and easily than ever before. The heart of TIMi’s Integrated Platform. TIMi's ultimate real time AUTO-ML engine. 3D VR segmentation, visualization. Unlimited self service business Intelligence. TIMi is a faster solution than any other to perform the 2 most critical analytical tasks: data cleaning, feature engineering, creation KPIs, and predictive modeling. TIMi is an ethical solution. There is no lock-in, just excellence. We guarantee you work in complete serenity, without unexpected costs. TIMi's unique software infrastructure allows for maximum flexibility during the exploration phase, and high reliability during the production phase. TIMi allows your analysts to test even the most crazy ideas.
  • 4
    Privacera Reviews
    Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system.
  • 5
    Okera Reviews
    Complexity is the enemy of security. Simplify and scale fine-grained data access control. Dynamically authorize and audit every query to comply with data security and privacy regulations. Okera integrates seamlessly into your infrastructure – in the cloud, on premise, and with cloud-native and legacy tools. With Okera, data users can use data responsibly, while protecting them from inappropriately accessing data that is confidential, personally identifiable, or regulated. Okera’s robust audit capabilities and data usage intelligence deliver the real-time and historical information that data security, compliance, and data delivery teams need to respond quickly to incidents, optimize processes, and analyze the performance of enterprise data initiatives.
  • 6
    IBM Intelligent Operations Center for Emergency Mgmt Reviews
    A comprehensive incident and emergency management system designed for routine operations as well as crisis scenarios. This command, control, and communication (C3) framework leverages advanced data analytics alongside social and mobile technologies to enhance the coordination and integration of preparation, response, recovery, and mitigation efforts for everyday incidents, emergencies, and disasters. IBM collaborates with government agencies and public safety organizations across the globe to deploy innovative public safety technology solutions. Effective preparation strategies utilize the same tools to address routine community incidents, enabling a seamless transition to crisis response. This established familiarity allows first responders and C3 personnel to engage swiftly and intuitively in various phases of response, recovery, and mitigation without relying on specialized documentation or systems. Furthermore, this incident and emergency management solution synthesizes and aligns multiple information sources, creating a dynamic, near real-time geospatial framework that supports a unified operational view for all stakeholders involved. By doing so, it enhances situational awareness and fosters more efficient communication during critical events.
  • 7
    Gable Reviews
    Data contracts play a crucial role in enhancing the interaction between data teams and developers. Rather than merely identifying issues after they arise, it’s essential to proactively prevent them at the application level. Utilize AI-powered asset registration to monitor every alteration from all data sources. Amplify the success of data initiatives by ensuring visibility upstream and conducting thorough impact analyses. By implementing data governance as code and data contracts, both data ownership and management can be shifted left. Establishing trust in data is also vital, achieved through prompt communication regarding data quality standards and any modifications. Our AI-driven technology allows for the elimination of data problems right at their origin, ensuring a smoother workflow. Gable serves as a B2B data infrastructure SaaS that provides a collaborative platform specifically designed for the creation and enforcement of data contracts. These ‘data contracts’ are essentially API-based agreements between software engineers managing upstream data sources and the data engineers or analysts who utilize that data for machine learning model development and analytics. With Gable, organizations can streamline their data processes, ultimately fostering a culture of trust and efficiency.
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