Best Data Management Software for Tally

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

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

  • 1
    Airtable Reviews
    Top Pick

    Airtable

    Airtable

    $12.00/month/user
    28 Ratings
    Manage your projects in a manner that suits you best using Airtable. This versatile collaboration tool merges the capabilities of a relational database with the straightforwardness of a spreadsheet, offering a seamless experience. It is compatible across various platforms and devices, ensuring that data is synchronized instantly. Users have the option to display their tasks through a variety of formats, such as grid, calendar, Kanban, gallery, or forms, making it easier to visualize their workflow. With its intuitive interface, Airtable enables teams to enhance productivity while maintaining organization.
  • 2
    DataFisher Reviews

    DataFisher

    BizGaze Limited

    ₹15,00,000 one time
    DataFisher, a third-party data extraction tool, extracts data from multiple sources and creates one source of large data pools for actionable market insights. It also supports effective decision-making and decision-making. Deep Dive into Data for Actionable Insights. Evolving data infrastructures need an accurate aggregator to extract the required data for actionable insights. Integrate with multiple ERPs from partner ecosystems such as Tally, SAPB One, etc. with real-time analytics to improve data-based business decisions.
  • 3
    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.
  • 4
    Data Sentinel Reviews
    As a leader in the business arena, it's crucial to have unwavering confidence in your data, ensuring it is thoroughly governed, compliant, and precise. This entails incorporating all data from every source and location without any restrictions. It's important to have a comprehensive grasp of your data resources. Conduct audits to assess risks, compliance, and quality to support your initiatives. Create a detailed inventory of data across all sources and types, fostering a collective understanding of your data resources. Execute a swift, cost-effective, and precise one-time audit of your data assets. Audits for PCI, PII, and PHI are designed to be both fast and thorough. This service approach eliminates the need for any software purchases. Evaluate and audit the quality and duplication of data within all your enterprise data assets, whether they are cloud-native or on-premises. Ensure compliance with global data privacy regulations on a large scale. Actively discover, classify, track, trace, and audit compliance with privacy standards. Additionally, oversee the propagation of PII, PCI, and PHI data while automating the processes for complying with Data Subject Access Requests (DSAR). This comprehensive strategy will effectively safeguard your data integrity and enhance overall business operations.
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