Best Data Management Software for Onfleet

Find and compare the best Data Management software for Onfleet in 2024

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

  • 1
    Gigasheet Reviews

    Gigasheet

    Gigasheet

    $95 per month
    4 Ratings
    Gigasheet is the big data spreadsheet that requires no set up, training, database or coding skills. No SQL or Python code, no IT infrastructure required to explore big data. Big data answers are available to anyone, even if they're not data scientists. Best of all, your first 3GB are free! Gigasheet is used by thousands of people and teams to gain insights in minutes, rather than hours or days. Anyone who can use a spreadsheet can access Gigasheet's big data and analysis capabilities. Sharing and collaboration tools make distributing huge data sets a snap. Gigasheet integrates with more than 135 SaaS platforms and databases.
  • 2
    Olo Reviews
    Olo is the leading platform for on-demand commerce that powers the digital transformation of the restaurant industry. Olo's enterprise SaaS engine allows brands to maximize the convergence between digital and brick-and mortar operations by processing millions of orders every day. The Olo platform gives brands the ability to capture consumer demand and manage orders across all channels. Olo customers have access to over 100 technology partners and can create digital experiences with the most flexible and flexible restaurant commerce ecosystem. Olo is used by over 500 restaurants to increase digital sales, maximize profitability and maintain direct consumer relationships. Acquired Wisely, a leader in customer intelligence and engagement platforms for restaurants, in October 2021
  • 3
    Ethyca Reviews

    Ethyca

    Ethyca

    $449 per month
    Ethyca will handle all CCPA and GDPR tasks. Ethyca gives you a birds-eye view of your business's data supply chain, saving you and your team hours. Ethyca makes subject access, edit, and erasure requests easy or, if you prefer, virtually impossible. Automate the return all user data that has been processed by Ethyca upon request. Ethyca's ability retrieve individual attributes allows Subjects to automate the process of rectifying and selecting their data records. Ethyca can process all "do NOT sell my data" requests and automate compliance with CCPA. You could spend your time in the office trying to update consent preferences. You could also use Ethyca. Ethyca links cookie consent with processing activities for each user’s personal data record. Ethyca provides a user-friendly interface that allows users to manage their consent.
  • 4
    Meltano Reviews
    Meltano offers the most flexibility in deployment options. You control your data stack from beginning to end. Since years, a growing number of connectors has been in production. You can run workflows in isolated environments and execute end-to-end testing. You can also version control everything. Open source gives you the power and flexibility to create your ideal data stack. You can easily define your entire project in code and work confidently with your team. The Meltano CLI allows you to quickly create your project and make it easy to replicate data. Meltano was designed to be the most efficient way to run dbt and manage your transformations. Your entire data stack can be defined in your project. This makes it easy to deploy it to production.
  • 5
    Singer Reviews
    Singer explains how data extraction scripts called taps and data loading scripts called targets should communicate. This allows them to be used in any combination to move any data from any source to any destination. You can send data between web APIs, databases, files, queues, or just about any other type of data you can think of. Simple applications with pipes, called singer taps and targets, are all that's required. There are no daemons nor complicated plugins. Singer applications communicate with JSON which makes them easy to use and implement in any programming language. Singer supports JSON Schema, which allows for rich data types and rigid structures when required. Singer makes it easy for incremental extraction to be supported by Singer's state-preserving invocations.
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