Best Data Management Software for Splunk APM

Find and compare the best Data Management software for Splunk APM in 2025

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

  • 1
    IBM Instana Reviews
    IBM Instana sets the benchmark for incident prevention, offering comprehensive full-stack visibility with one-second precision and a notification time of just three seconds. In the current landscape of rapidly evolving and intricate cloud infrastructures, the financial repercussions of an hour of downtime can soar into the six-figure range or more. Conventional application performance monitoring (APM) tools often fall short, lacking the speed and depth required to effectively address and contextualize technical issues, and they usually necessitate extensive training for super users before they can be utilized effectively. In contrast, IBM Instana Observability transcends the limitations of standard APM tools by making observability accessible to a wider audience, enabling individuals from DevOps, SRE, platform engineering, ITOps, and development teams to obtain the necessary data and context without barriers. The Instana Dynamic APM functions through a specialized agent architecture, utilizing sensors—automated, lightweight programs specifically designed to monitor particular entities and ensure optimal performance. As a result, organizations can respond to incidents proactively and maintain a higher level of service continuity.
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    Peaka Reviews

    Peaka

    Peaka

    $1 per month
    Unify all your data sources, encompassing both relational and NoSQL databases, SaaS applications, and APIs, allowing you to query them as if they were a single data entity instantly. Process data at its source without delay, enabling you to query, cache, and merge information from various origins seamlessly. Utilize webhooks to bring in real-time streaming data from platforms like Kafka and Segment into the Peaka BI Table, moving away from the traditional nightly batch ingestion in favor of immediate data accessibility. Approach every data source as though it were a relational database, transforming any API into a table that can be integrated and joined with your other datasets. Employ familiar SQL syntax to execute queries in NoSQL environments, allowing you to access data from both SQL and NoSQL databases using the same skill set. Consolidate your data to query and refine it into new sets, which you can then expose through APIs to support other applications and systems. Streamline your data stack setup without becoming overwhelmed by scripts and logs, and remove the complexities associated with building, managing, and maintaining ETL pipelines. This approach not only enhances efficiency but also empowers teams to focus on deriving insights rather than being bogged down by technical hurdles.
  • 3
    Activu Reviews
    Activu makes all information visible, collaborative, proactive, and proactive to those who are responsible for monitoring critical operations or incidents. Our customers can instantly see, share, respond, and discuss events in real time, with context to improve incident response, decision making, and management. Software, systems, as well as services from Activu are a benefit to billions of people all over the globe. Activu was founded in 1983 by the first U.S.-based firm to develop video wall technology. Today, more than 1,000 control rooms rely on it.
  • 4
    Y42 Reviews

    Y42

    Datos-Intelligence GmbH

    Y42 is the first fully managed Modern DataOps Cloud for production-ready data pipelines on top of Google BigQuery and Snowflake.
  • 5
    Imperva CDN Reviews
    Distributing your websites and applications internationally can increase the risk of cyber threats and fraudulent activities, making robust security essential. The Imperva Content Delivery Network (CDN) incorporates features like content caching, load balancing, and failover within a holistic Web Application and API Protection (WAAP) platform, ensuring your applications are securely accessed worldwide. Letting machine learning handle the workload streamlines the caching of dynamically generated pages while maintaining content freshness. This approach not only enhances cache efficiency but also significantly decreases bandwidth consumption. By leveraging various content and networking optimization strategies, you can reduce page rendering times and elevate the overall user experience. Furthermore, Imperva’s advanced global CDN employs sophisticated caching and optimization methods to enhance connection and response times while simultaneously minimizing bandwidth expenses. The combination of these features ultimately leads to a more resilient and efficient online presence.
  • 6
    Lyftrondata Reviews
    If you're looking to establish a governed delta lake, create a data warehouse, or transition from a conventional database to a contemporary cloud data solution, Lyftrondata has you covered. You can effortlessly create and oversee all your data workloads within a single platform, automating the construction of your pipeline and warehouse. Instantly analyze your data using ANSI SQL and business intelligence or machine learning tools, and easily share your findings without the need for custom coding. This functionality enhances the efficiency of your data teams and accelerates the realization of value. You can define, categorize, and locate all data sets in one centralized location, enabling seamless sharing with peers without the complexity of coding, thus fostering insightful data-driven decisions. This capability is particularly advantageous for organizations wishing to store their data once, share it with various experts, and leverage it repeatedly for both current and future needs. In addition, you can define datasets, execute SQL transformations, or migrate your existing SQL data processing workflows to any cloud data warehouse of your choice, ensuring flexibility and scalability in your data management strategy.
  • 7
    GTB Technologies DLP Reviews
    Data Loss Prevention can be described as a system that automatically enforces data security policies and real-time data classification of data in motion and at rest. Data in motion refers to data that is sent to the internet, cloud, devices, or printer. Our technology leader is our solution. Our Data Loss Prevention security engine detects both structured and unstructured data at the binary level. It protects on-premises, offsites, as well as the cloud. GTB is the only Data Loss Prevention tool that protects data even when it's not connected to the network. Find, classify, classify, index, redact and re-mediate your data. This includes PII, PHI, structured data, FERC/NERC, SOX & more. Our patent-pending proprietary technology can prevent sensitive data from being synced to private or unapproved clouds. It also allows users to identify "sync files".
  • 8
    Assure Security Reviews
    Assure Compliance Monitoring is a comprehensive suite of Assure Security functionalities designed to swiftly detect security and compliance challenges by generating alerts and reports based on IBM i system operations, database modifications, and insights into Db2 data. The suite comprises two features that can also be utilized independently. Assure Monitoring and Reporting effectively extracts valuable insights from IBM i journal data, providing alerts and reports regarding security breaches and compliance discrepancies. Monitoring capabilities for both systems and databases can be accessed separately or in conjunction, and you also have the option to channel data directly to your enterprise SIEM solution, enabling IBM i security oversight alongside other enterprise platforms. Additionally, Assure Db2 Data Monitor stands out as an innovative tool that oversees access to highly sensitive Db2 data and can even restrict visibility of certain records. Assure Security offers leading-edge IBM i security solutions that empower your organization to adhere to cybersecurity regulations effectively while ensuring robust protection of your data. This holistic approach to security not only safeguards sensitive information but also streamlines compliance processes across your organization.
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