Research alternative solutions to SAS Data Preparation on G2, with real user reviews on competing tools. Data Preparation Software is a widely used technology, and many people are seeking popular, secure software solutions with data modeling, data quality and cleansing, and data governance. Other important factors to consider when researching alternatives to SAS Data Preparation include reliability and ease of use. The best overall SAS Data Preparation alternative is Tableau. Other similar apps like SAS Data Preparation are Alteryx, DemandTools, dbt, and AWS Glue. SAS Data Preparation alternatives can be found in Data Preparation Software but may also be in Analytics Platforms or Data Quality Tools.
Tableau Server is a business intelligence application that provides browser-based analytics anyone can learn and use.
DemandTools is a data quality toolset for Salesforce CRM. De-deduplication, normalization, standardization, comparison, import, export, mass delete, and more.
dbt is a transformation workflow that lets teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.
AWS Glue is a fully managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load their data for analytics.
Trifacta is a data wrangling solution designed to improve the efficiency of an existing analysis process or utilize new sources of data for an analytics initiative.
IBM Watson Studio accelerates the machine and deep learning workflows required to infuse AI into your business to drive innovation. It provides a suite of tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy models at scale.
Altair Monarch is a market leading desktop-based no code data preparation solution. Monarch connects to multiple data sources including structured and unstructured data, cloud-based data, and big data. Monarch’s no code data preparation and analysis features enable people with different skill sets to access and transform data to discover insights, generate value and drive data-driven decisions.
Databand is an observability platform for data engineering teams. Data engineering teams are responsible for managing a wide suite of powerful tools, but lack the utilities they need to make sure their ops are running properly. Databand fills this gap with a solution that enables teams to gain a global view of their data flows, make sure pipelines complete successfully, and keep tabs on resource consumption and costs. Databand fits natively in the modern data stack, plugging seamlessly into tools like Apache Airflow, Spark, Kubernetes and various ML offerings from the major cloud providers.