Here’s the difference between Acceldata and Data Fold. 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.
Datafold offers a cloud-based quality assurance & monitoring solution for analytical data. The solution enables the users to automate the quality assurance of analytical data. It verifies the data to prevent data corruption every time a developer makes a change that impacts the data in production. It also provides integration over PostgreSQL, etc.