Best Data Integration Tools in India

Find and compare the best Data Integration tools in India in 2024

Use the comparison tool below to compare the top Data Integration tools in India on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Cloudera DataFlow Reviews
    You can manage your data from the edge to the cloud with a simple, no-code approach to creating sophisticated streaming applications.
  • 2
    Adoki Reviews
    Adoki automates data transfers from and to any platform or system, whether it's a database, data warehouse, cloud service, Hadoop, or streaming application, on both a one-time schedule and recurring schedule. It adapts itself to the workload of your IT infrastructure, adjusting replication or transfer processes at optimal times as needed. Adoki's centralized monitoring and management of data transfers allows you to manage your data operations more efficiently with a smaller team.
  • 3
    Precisely Connect Reviews
    Integrate legacy systems seamlessly into the next-gen cloud or data platforms with one solution. Connect allows you to take control of your data, from mainframe to cloud. Integrate data via batch and real-time input for advanced analytics, comprehensive machinelearning and seamless data migration. Connect draws on the decades of experience Precisely has gained as a leader in mainframe sorting and IBM i data availability security. This allows the company to be a leader in the field of complex data access and integration. Access to all enterprise data is possible for critical business projects. Connect supports a wide range targets and sources for all your ELT/CDC needs.
  • 4
    The Autonomous Data Engine Reviews
    Today there is a constant buzz about how top companies are using big data to gain competitive advantage. Your company is trying to be one of these market-leading companies. The reality is that more than 80% of big-data projects fail to go to production. This is because project implementation can be complex and resource-intensive. It can take months, if not years, to complete. The technology is complex and the people with the right skills are difficult to find. Automates all data workflows, from source to consumption. Automates the migration of data and workloads between legacy Data Warehouse systems and big data platforms. Automates the orchestration and management complex data pipelines in production. Alternative methods, such as custom development or stitching together multiple points solutions, are more expensive, inflexible and time-consuming, and require specialized skills to assemble.
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    CData Power BI Connectors Reviews
    Your business relies on real-time data from backend systems to provide actionable insights and drive growth. The missing link in your data value chain is the CData Power BI Connectors. The CData Power BI Connectors are the fastest and easiest way to connect Power BI with 250+ enterprise data sources. This allows you to finally use Power BI for truly universal analysis. Connect Microsoft Power BI to live accounting, CRM ERP, marketing automation, and ERP for real-time visual analysis. There are many data sources that Power BI connectors can be used, including: Microsoft Dynamics CRM MongoDB – NetSuite – QuickBooks ­ Sage Intacct – Salesforce ­ SAP — Sharepoint _ Snowflake – And 200+ more! CData Connectors provide superior query speed through connectivity features such as DirectQuery and QueryPushdown.
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    DQLabs Reviews

    DQLabs

    DQLabs, Inc

    DQLabs has over a decade of data-related experience for Fortune 100 clients. This includes data integration, data governance and data visualization. The platform comes with all the features necessary to enable autonomous execution without any configuration or manual intervention. This AI-powered tool can automate every aspect of scaling, governance, and automation. It can also be integrated and compatible with other tools within the data ecosystem. Machine Learning and AI make it possible to make decisions in all aspects data management. No more ETL, workflows and rules. The platform automatically learns and reconfigures rules as the business strategy changes and requires new data patterns and trends.