Best Embedded Integration Platforms for Amazon Redshift

Find and compare the best Embedded Integration platforms for Amazon Redshift in 2025

Use the comparison tool below to compare the top Embedded Integration platforms for Amazon Redshift on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Zuar Runner Reviews
    It shouldn't take long to analyze data from your business solutions. Zuar Runner allows you to automate your ELT/ETL processes, and have data flow from hundreds of sources into one destination. Zuar Runner can manage everything: transport, warehouse, transformation, model, reporting, and monitoring. Our experts will make sure your deployment goes smoothly and quickly.
  • 2
    Syncari Reviews
    Key Features of Syncari ADM: Continuous Unification & Data Quality Programmable MDM with Extensibility Patented Multi-directional Sync Integrated Data Fabric Architecture Dynamic Data Model & 360° Dataset Readiness Enhanced Automation with AI/ML Datasets, Metadata as Data, Virtual Entities Syncari’s cohesive platform syncs, unifies, governs, enhances, and provides access to data across your enterprise, delivering continuous unification, data quality, and distribution—all within a scalable, robust architecture.
  • 3
    hotglue Reviews

    hotglue

    hotglue

    $749 per month
    Hotglue allows developers to quickly offer user-facing SaaS integrations for their customers. Hotglue allows customers to connect to their third-party SaaS apps from within your web application. This makes it easy for you to securely ingest any data that you need. Our open-source library of connectors allows you to offer more integrations for your customers without requiring development resources.
  • 4
    Peaka Reviews

    Peaka

    Peaka

    $1 per month
    Integrate your data sources including relational and NoSQL database, SaaS and APIs. You can query them immediately as a single source of data. Process data wherever you are. Data from different sources can be merged, retrieved, and cached. Use webhooks for streaming data from Kafka or Segment into the Peaka Table. Real-time data access replaces nightly batch ingestion. Treat each data source as a relational database. Convert any API into a table and combine and join it with other data sources. Use familiar SQL to run queries on NoSQL databases. The same skills can be used to retrieve data from SQL and NoSQL database. You can query and filter your consolidated datasets to create new data sets. Use APIs to expose them and serve other apps or systems. Don't get bogged down with scripts and logs when setting up your data stack. Eliminate the burdens of managing and maintaining ETL pipelines.
  • 5
    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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