Best Data Management Software for Accelo

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

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

  • 1
    BrightGauge Reviews

    BrightGauge

    ConnectWise

    $283 per month
    1 Rating
    BrightGauge, a ConnectWise product, was created in 2011 to address a gap in the small-to medium IT Services industry. It provides a better way for clients to access data and manage work. BrightGauge Software lets you display all of your business metrics in one place using gauges, dashboards and client reports. BrightGauge is used by more than 1,800 businesses worldwide. It integrates with many popular business solutions such as ConnectWise and Continuum, Webroot. QuickBooks, Datto. IT Glue. Zendesk. Harvest. Smileback.
  • 2
    COZYROC SSIS+ Suite Reviews
    COZYROC's SSIS+ suite includes 270+ Data integration adapters, ETL components and tasks for developing ETL solutions with MS SQL Server Integration Services.
  • 3
    StarfishETL Reviews

    StarfishETL

    StarfishETL

    400/month
    StarfishETL is a Cloud iPaaS solution, which gives it the unique ability to connect virtually any kind of solution to any other kind of solution as long as both of those applications have an API. This gives StarfishETL customers ultimate control over their data projects, with the ability to build more unique and scalable data connections.
  • 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.
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