Best Data Replication Software for Google Drive

Find and compare the best Data Replication software for Google Drive in 2025

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

  • 1
    Hevo Reviews

    Hevo

    Hevo Data

    $249/month
    3 Ratings
    Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows that result in a saving of ~10 hours of engineering time/week and 10x faster reporting, analytics, and decision making. The platform supports 100+ ready-to-use integrations across Databases, SaaS Applications, Cloud Storage, SDKs, and Streaming Services. Over 500 data-driven companies spread across 35+ countries trust Hevo for their data integration needs.
  • 2
    DataLakeHouse.io Reviews

    DataLakeHouse.io

    DataLakeHouse.io

    $99
    DataLakeHouse.io Data Sync allows users to replicate and synchronize data from operational systems (on-premises and cloud-based SaaS), into destinations of their choice, primarily Cloud Data Warehouses. DLH.io is a tool for marketing teams, but also for any data team in any size organization. It enables business cases to build single source of truth data repositories such as dimensional warehouses, data vaults 2.0, and machine learning workloads. Use cases include technical and functional examples, including: ELT and ETL, Data Warehouses, Pipelines, Analytics, AI & Machine Learning and Data, Marketing and Sales, Retail and FinTech, Restaurants, Manufacturing, Public Sector and more. DataLakeHouse.io has a mission: to orchestrate the data of every organization, especially those who wish to become data-driven or continue their data-driven strategy journey. DataLakeHouse.io, aka DLH.io, allows hundreds of companies manage their cloud data warehousing solutions.
  • 3
    Alooma Reviews
    Alooma allows data teams visibility and control. It connects data from all your data silos into BigQuery in real-time. You can set up and flow data in minutes. Or, you can customize, enrich, or transform data before it hits the data warehouse. Never lose an event. Alooma's safety nets make it easy to handle errors without affecting your pipeline. Alooma infrastructure can handle any number of data sources, low or high volume.
  • 4
    Lyftrondata Reviews
    Lyftrondata can help you build a governed lake, data warehouse or migrate from your old database to a modern cloud-based data warehouse. Lyftrondata makes it easy to create and manage all your data workloads from one platform. This includes automatically building your warehouse and pipeline. It's easy to share the data with ANSI SQL, BI/ML and analyze it instantly. You can increase the productivity of your data professionals while reducing your time to value. All data sets can be defined, categorized, and found in one place. These data sets can be shared with experts without coding and used to drive data-driven insights. This data sharing capability is ideal for companies who want to store their data once and share it with others. You can define a dataset, apply SQL transformations, or simply migrate your SQL data processing logic into any cloud data warehouse.
  • 5
    TROCCO Reviews

    TROCCO

    primeNumber Inc

    TROCCO is an automation and data integration platform that streamlines the data engineering workflow by combining multiple aspects into a single solution. This reduces the time and effort needed to build data pipelines using different tools. It has a wide range of features including ETL/ELT and orchestration, transformation and reverse ETL. This allows for seamless data movement from and to cloud warehouses, allowing downstream analytics, AI and ML applications. TROCCO is a SaaS platform that manages infrastructure and scaling issues, allowing users the freedom to focus on extracting maximum value from their data, rather than managing pipelines. It supports batch and near-real-time data synchronization via HTTP, custom integrations and connectivity to on-premise data sources. Users can transform data with Python or no-code template, model it using SQL or dbt and orchestrate pipelines via an integrated workflow engine.
  • 6
    UnifyApps Reviews
    Reduce fragmented system & bridge data sylos by enabling teams to build complex applications, automate work flows and build data pipelines. Automate complex business workflows across multiple applications in minutes. Build and deploy applications for internal and external customers. Use a variety of rich, pre-built components. Security and governance of enterprise-grade, robust debugging, and change management. Build enterprise-grade apps 10x faster, without writing code. Automate complex business process across applications in minutes. Powered by enterprise reliability features such as caching, rate-limiting, and circuit breakers. Connector SDK allows you to build custom integrations within a single day. Real-time data replication to any destination system from any source. Instantly move data between applications, data warehouses or data lakes. Automate schema mapping and preload transformations.
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