Best Data Management Software for Ontraport

Find and compare the best Data Management software for Ontraport in 2026

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

  • 1
    Formstack Reviews
    With Formstack, automate manual processes, deliver solutions quicker, and go from idea to workflow in minutes and save hours—all with clicks, not code. Combining a visual workflow automation builder with digital forms, document generation, and eSignature solutions, the Formstack Platform enables you to quickly create countless solutions to your workday pains and your customers’ digital expectations. Build for your immediate needs—from applications to proposals to onboarding—and scale to help meet your larger, org-wide digital initiatives. All with the Formstack Platform.
  • 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
    Codeless Platforms BPA Platform Reviews
    BPA Platform iPaaS enables you to effortlessly connect applications, legacy systems, and web services, whether they’re in the cloud or on-premises, and then automate numerous business processes and tasks. An intuitive design and graphical user interface, a wealth of pre-built connectors and business process automation tools, BPA Platform reduces integration development times and brings all your data workflows together in one central location. As your business evolves and grows, you can scale and integrate new systems or applications as and when business requirements change, without extravagant costs. BPA Platform can be installed in the cloud (iPaaS) or on-premises. Compatible with most databases, including AWS and Microsoft Azure, for cloud and hybrid integration projects, it is rapid to install and configure, with the ability to easily scale. Automating business processes not only requires a solid understanding of data but a comprehensive knowledge of source or target applications. Codeless Platforms has accredited partner status with well-known ISVs, such as Access Group, Epicor, Microsoft, Sage, SAP and SYSPRO, along with industry specific applications and systems in a large number of economic regions. Through collaboration with ISVs and leading channel VARs, specialist features have been built into BPA Platform. This provides organisations with the ability to create solutions completely personalised to their internal applications and business operations.
  • 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.
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