Robotic Data Automation (RDA) icon
Robotic Data Automation (RDA) icon

Robotic Data Automation (RDA)

RDA automates IT DataOps with low-code software bots and pipelines authored in AIOps Studio. RDA lets you go from data to insights and action in minutes. ITOps personnel, professional service teams and MSPs can accelerate AIOps/Observability projects.

Robotic Data Automation (RDA) screenshot 1

Cost / License

  • Freemium (Subscription)
  • Proprietary

Platforms

  • Online
  • Self-Hosted
  • Software as a Service (SaaS)
  • Docker
Robotic Data Automation (RDA) screenshot 1
Robotic Data Automation (RDA) screenshot 2
+9
Robotic Data Automation (RDA) screenshot 3
Alternatives  
1like
9alternatives
0articles

Features

Robotic Data Automation (RDA) News & Activities

Highlights All activities

Recent activities

No activities found.

Robotic Data Automation (RDA) information

Our users have written 1 comments and reviews about Robotic Data Automation (RDA), and it has gotten 1 likes

Robotic Data Automation (RDA) was added to AlternativeTo by Gurubaran Baskaran on and this page was last updated .

Comments and Reviews

   
Gurubaran Baskaran
0

Because of its scalability, its integration, and 300+ available bots for various purposes.

Review from a new or low-activity account — shown here, but not counted in the app rating.

Official Links

What is Robotic Data Automation (RDA)?

Robotic Data Automation (RDA) helps enterprises realize value from data faster by simplifying and automating repetitive data integration, preparation, and transformation activities using Low-Code workflows and data bots, including built-in AI/ML-bots. RDA has all the features you need to effortlessly prepare, transform and move your data

  1. Low-Code Data Pipelines Data pipelines are written in easy to understand abstract syntax with natural language like semantics

  2. Built-in AI/ML Bots Purpose-built to simplify and automate AI/ML training and inferencing using AI/ML bots

  3. Uniform Query Language Standardized query language across data sources and integrations. Learn once, use everywhere

  4. Inline Data Mapping Full metadata awareness, data mapping, and enrichment with internal/external sources

  5. Data Integrity Checks Data verification, cleaning, preparing, filtering, shaping (aggregating/ filtering/ sorting) & transforming using data bots

  6. Data Extraction/Metrics Gather metrics and logs for system performance reporting and IT analytics

Robotic Data Automation (RDA) Videos