Best Data Management Software for WorkflowMax

Find and compare the best Data Management software for WorkflowMax in 2025

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

  • 1
    Acterys Reviews

    Acterys

    FP&A Software

    $55.00/month/user
    1 Rating
    Acterys serves as a comprehensive platform designed for Corporate Performance Management (CPM) and Financial Planning & Analytics (FP&A), seamlessly working with Microsoft Azure, Power BI, and Excel. It streamlines the integration of pertinent data sources through connectors for various ERP, accounting, and SaaS solutions, allowing all CPM procedures to operate on a unified platform utilizing top-tier SQL Server technologies, whether in the cloud or on-premises. Users can take advantage of pre-built, customizable application templates that cover all facets of planning, forecasting, and consolidation. Furthermore, business users have the flexibility to tailor FP&A and CPM processes to meet their specific requirements, fully integrated with their daily productivity tools, ensuring a streamlined workflow that enhances efficiency.
  • 2
    StarfishETL Reviews

    StarfishETL

    StarfishETL

    400/month
    StarfishETL is a Cloud iPaaS solution, which gives it the unique ability to connect virtually any kind of solution to any other kind of solution as long as both of those applications have an API. This gives StarfishETL customers ultimate control over their data projects, with the ability to build more unique and scalable data connections.
  • 3
    Datameer Reviews
    Datameer is your go-to data tool for exploring, preparing, visualizing, and cataloging Snowflake insights. From exploring raw datasets to driving business decisions – an all-in-one tool.
  • 4
    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.
  • 5
    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.
  • Previous
  • You're on page 1
  • Next