Here’s the difference between Great Expectations and Acceldata. The comparison is based on pricing, deployment, business model, and other important factors.
Great Expectations provides open-source enterprise data management solutions. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. It maintains up-to-date data documentation by rendering expectations directly into clean, human-readable documentation. Users can join to GitHub and Slack community groups.
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.
Overview | ||
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Categories | Data Quality Monitoring | Data Quality Monitoring |
Stage | Early Stage | Early Stage |
Target Segment | Mid size | Mid size |
Deployment | On Prem | SaaS |
Business Model | Open Source | Commercial |
Pricing | Freemium | Contact Sales |
Location | California, US | California, US |
Companies using it | ||
Contact info |