Best ETL Software for Jira Service Management

Compare the Top ETL Software that integrates with Jira Service Management as of October 2025

This a list of ETL software that integrates with Jira Service Management. Use the filters on the left to add additional filters for products that have integrations with Jira Service Management. View the products that work with Jira Service Management in the table below.

What is ETL Software for Jira Service Management?

ETL software is used to extract, transform and load data between multiple databases in order to organize and structure it for further analysis. Compare and read user reviews of the best ETL software for Jira Service Management currently available using the table below. This list is updated regularly.

  • 1
    COZYROC SSIS+ Suite
    COZYROC's SSIS+ suite includes 270+ data integration adapters, ETL components and tasks for developing ETL solutions with MS SQL Server Integration Services. ​141 out-of-the box adapters for consuming web API data. Connectivity for popular CRM, ERP, Accounting, Financials, Legal, Analytics, Administration, Collaboration, Communication, Security, Education, Construction, Marketing, Transportation, Project Management, Productivity, e-Commerce and HR apps ​COZYROC REST Framework for data integration with any REST service. Sync and import / export data from any REST API service to SQL Server. ​Data Flow Task Plus for dynamic data flows at runtime. No need to manually open and modify the data flow Lift and Shift your SSIS packages ! Try COZYROC Cloud for free. The COZYROC.Cloud hosted service allows you to Lift & Shift legacy SSIS workloads to the cloud in a breeze at a very affordable price which includes a license for the COZYROC SSIS+ suite.
    Starting Price: $0
  • 2
    Panoply

    Panoply

    SQream

    Panoply brings together a managed data warehouse with included, pre-built ELT data connectors, making it the easiest way to store, sync, and access all your business data. Our cloud data warehouse (built on Redshift or BigQuery), along with built-in data integrations to all major CRMs, databases, file systems, ad networks, web analytics tools, and more, will have you accessing usable data in less time, with a lower total cost of ownership. One platform with one easy price is all you need to get your business data up and running today. Panoply gives you unlimited access to data sources with prebuilt Snap Connectors and a Flex Connector that can bring in data from nearly any RestAPI. Panoply can be set up in minutes, requires zero ongoing maintenance, and provides online support including access to experienced data architects.
    Starting Price: $299 per month
  • 3
    Xplenty

    Xplenty

    Xplenty Data Integration

    Xplenty, a scalable data integration and delivery software, allows SMBs and large enterprises to prepare and transfer data for analytics to the cloud. Xplenty features include data transformations, drag-and-drop interface, and integration with over 100 data stores and SaaS applications. Xplenty can be added by developers to their data solution stack with ease. Xplenty also allows users to schedule jobs and monitor job progress and status.
  • 4
    Data Virtuality

    Data Virtuality

    Data Virtuality

    Connect and centralize data. Transform your existing data landscape into a flexible data powerhouse. Data Virtuality is a data integration platform for instant data access, easy data centralization and data governance. Our Logical Data Warehouse solution combines data virtualization and materialization for the highest possible performance. Build your single source of data truth with a virtual layer on top of your existing data environment for high data quality, data governance, and fast time-to-market. Hosted in the cloud or on-premises. Data Virtuality has 3 modules: Pipes, Pipes Professional, and Logical Data Warehouse. Cut down your development time by up to 80%. Access any data in minutes and automate data workflows using SQL. Use Rapid BI Prototyping for significantly faster time-to-market. Ensure data quality for accurate, complete, and consistent data. Use metadata repositories to improve master data management.
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