Here’s the difference between Acceldata and dbt. 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.
Dbt is an analytics engineering workflow tool. The command line based build tool enables data analysts and engineers to transform data in their warehouse and can take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. It automates data quality testing, deploys analytics code, and delivers data with documentation.
|Categories||Data Quality Monitoring||Data Modelling and Transformation|
|Stage||Early Stage||Early Stage|
|Target Segment||Mid size||Enterprise, Mid size|
|Business Model||Commercial||Open Source|
|Pricing||Contact Sales||Free trial, Contact Sales|
|Companies using it|