Here’s the difference between Acceldata and Orchest. The comparison is based on pricing, deployment, business model, and other important factors.
Acceldata offers data integration and data streaming solutions. It enables businesses to stream data from Hive, Spark, Tez, MR, Kafka, and HBase, collect and process data, build data clusters, and view actionable insights from the data. It enables businesses to perform root cause analysis, manage anomaly detection, and perform data analysis solutions. The clients include PubMatic, MICHELIN, HEALTHEDGE, etc.
Orchest is an open-source, cloud-native, development environment built for data science. Orchest helps you build data pipelines, the easy way. No frameworks. No YAML. Just write Python and R code in notebooks.
Overview | ||
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Categories | Data Quality Monitoring | Workflow Orchestration |
Stage | Early Stage | Early Stage |
Target Segment | Mid size | Mid Size, Enterprise |
Deployment | SaaS | Open Source |
Business Model | Commercial | Commercial |
Pricing | Contact Sales | Freemium / , Contact Sales |
Location | California, US | Rotterdam, Netherlands |
Companies using it | ||
Contact info |