Data Engineering platforms
Updated: July 30, 2023
Data Engineering platforms are specialized tools that empower organizations to efficiently process, transform, and manage large volumes of data. These platforms offer a wide range of features, including data ingestion, data integration, data cleansing, and data storage capabilities. Data Engineering platforms help businesses extract value from raw data by preparing it for analysis and reporting. With the ability to handle both batch and real-time data processing, these platforms ensure data pipelines are efficient and scalable. They often integrate with various data sources and databases, simplifying the process of collecting and centralizing data from diverse systems. Data Engineering platforms play a crucial role in building the foundation for successful data analytics and business intelligence initiatives, enabling organizations to make data-driven decisions, identify insights, and derive actionable outcomes from their data assets.
See also: Top 10 Big Data platforms
See also: Top 10 Big Data platforms
2022. Sigmoid raises $12M to scale its data engineering and analytics platform
Sigmoid, a startup dedicated to assisting companies in effectively analyzing their data and extracting valuable insights, has recently secured $12 million in funding. Sigmoid specializes in providing analytics and AI solutions to businesses worldwide, with a particular focus on consumer goods and financial services industries. While acknowledging established players like Accenture, Infosys, and Cognizant as its key competitors in the market, Sigmoid distinguishes itself through a unique combination of talented professionals, efficient processes, and advanced technology. This distinct approach sets Sigmoid apart and enables it to offer a differentiated value proposition to its customers.
2021. Hex snags $16M to keep building collaborative data workspace
Data has become ubiquitous within organizations, and employees are increasingly seeking ways to leverage it to enhance business outcomes. Hex, a startup dedicated to simplifying how data scientists and other employees gather and collaborate on data, has recently announced a $16 million Series A funding round. Traditionally, data scientists utilize online notebooks like Jupyter to work with their data, enabling them to construct SQL queries and incorporate Python code to organize and visualize it. Hex takes this concept further by developing an advanced notebook that facilitates seamless data retrieval from platforms such as Snowflake or Amazon Redshift. Users can easily format and manipulate the data, and then leverage the notebook's drag-and-drop functionality to swiftly create interactive components like charts or datasets. This streamlined process empowers users to rapidly build customized applications that can be shared with others, fostering efficient collaboration and knowledge sharing within the organization.
2020. Fishtown Analytics raises $29.5M for its data engineering platform
Fishtown Analytics, the company behind the open-source data engineering tool dbt, has successfully secured $29.5 million in Series B funding. The company's primary objective is to develop a platform that enables data analysts to efficiently generate and share organizational insights. With a specific emphasis on data modeling, Fishtown Analytics' dbt tool empowers individuals with SQL knowledge to construct data transformation workflows. Notably, dbt incorporates essential features such as automated data quality testing and comprehensive documentation of changes. Additionally, the tool leverages standard software engineering practices, facilitating seamless collaboration among engineers and continuous integration of code updates.