Open-Source vs. Closed-Source
Today, there is more data and far more digital tools than ever before, causing IT workloads to surge. To meet these needs, some organizations have implemented open-source job schedulers.
When a tool, application, or solution is open-source, it means the code exists in the public domain. This allows anyone to access and edit the source code of the application. Users of open-source software can benefit from lower costs and can expect bugs to be quickly fixed because anyone can jump in to improve the code. However, this also means the code is open for hackers to practice on.
Because open-source projects often lack full-time employees, updates can be infrequent and capabilities and features can be sparse. Plus, whereas a closed-source solution is backed by a dedicated team of professionals and support personnel, finding support for open-source software is usually limited to online forums.
Closed-source software means that a person or institution owns the source code and therefore has a dedicated team to develop new features, test new releases, and provide professional support to users.
ActiveBatch Workload Automation
ActiveBatch is a workload automation and job scheduling system that enables IT teams to automate and coordinate cross-platform processes or job chains. ActiveBatch is language-independent and supports everything from Python and VB scripts to Java and Javascript.
ActiveBatch also supports connecting to API endpoints and can perform command line functions. So anything you might have already downloaded from GitHub, including open source job schedulers, can be consolidated into ActiveBatch if it can’t be outright replaced.
Integrates Virtually Any Solution or Technology on the Market
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Any major operating systems including Windows, Linux, UNIX, and IBM iSeries AS/400
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Other job schedulers including cron job software, Windows Task Scheduler, and freeware task scheduling software
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Numerous vendors, with prebuilt integrations for Informatica, IBM, Microsoft, SAP, VMware, Amazon, and more
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Multiple back-end databases like SQL Server, Azure SQL, and Oracle DBs
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And much more...
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Provide data in real-time
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Use load balancing to reduce wait times
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Perform enterprise file transfers that support FTP, SFTP (SSH), or FTPS (TLS)
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Execute database procedures and integrate with ETL and data warehousing applications
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Include alerts and self-remediation
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Provision resources and manage cloud and virtual infrastructure
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And much more....