- Data Transformation
- Data Filtering
- Data Extraction
- API Integration
- Match & Merge
Get analysis-ready data to your data warehouse with Hevo
(163 ratings)
Starts from $149/Month when Billed Yearly, also offers free forever plan
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Hevo makes it easy to get the analysis-ready data you need to power your data warehouse. Our no-code platform is engineered for modern ETL, ELT and Reverse ETL scenarios, so data teams can streamline and automate their organizational data flows ... Read More
Data transformation is a crucial feature in software that allows for the manipulation and conversion of data from one format to another. This powerful tool enables users to restructure, modify, and integrate data from diverse sources into a standardized format, ensuring consistency and compatibility across different systems. It is an essential component in data integration, data warehousing, and business intelligence processes. With data transformation, users have the ability to extract data from sources such as databases, files, and applications, and then transform it into a
Data filtering is a software feature that allows users to refine and sort through large sets of data based on specific criteria or parameters. It is a powerful tool that helps to streamline data analysis and eliminates the need for manual sorting and sifting through large amounts of information. With data filtering, users can select specific data points or categories to include or exclude from their analysis. This enables them to focus solely on relevant data and quickly identify patterns or trends. For instance, a user working with a large sales database
Data extraction is a crucial feature of any software that is designed to handle large amounts of data. It is the process of retrieving relevant information from a database or other sources, and transforming it into a structured format that is easily accessible and usable for further analysis. This feature is essential for businesses and organizations that deal with high volumes of data, as it allows them to efficiently and effectively extract the data they need for important decision-making processes. One of the main functions of data extraction is to gather information from
API integration is a feature that allows different software systems, platforms, or applications to seamlessly communicate with each other. It enables the exchange of data, functionality, and services between them, providing a more comprehensive and efficient solution for users. API, or Application Programming Interface, acts as a bridge between two or more software systems, essentially enabling them to "talk" to each other. This integration makes it possible for businesses to connect and synchronize various applications, automating tasks and workflows and streamlining processes.
Match & Merge is a powerful software feature that allows users to merge and combine data from multiple sources into one comprehensive file. This feature is designed to save time and increase efficiency by eliminating the need to manually transfer data between different documents or spreadsheets. With Match & Merge, users can easily match and merge data based on specific criteria, such as matching names, IDs, or other unique identifiers. The software leverages intelligent algorithms to identify and match similar data, ensuring accuracy and precision in the merging process
Master Data Management (MDM) is a comprehensive approach to organizing and managing an organization's critical data assets. It is a set of processes and technologies that enables businesses to create, maintain, and synchronize a single, consistent view of all master data across the enterprise. At its core, MDM is all about ensuring data consistency, accuracy, and accessibility across different systems, departments, and processes. It involves collecting and consolidating data from multiple sources, cleansing and standardizing it, and then creating
Data Quality Control is a feature that is designed to ensure the accuracy, consistency, and reliability of data within a software system. It is an essential aspect of data management, as it helps to maintain data integrity and improve the overall quality of the information. This feature involves a systematic and continuous process of assessing, measuring, and monitoring data to identify any errors, inconsistencies, or potential issues. The primary goal of Data Quality Control is to ensure that the data stored in a software system is complete,
The administration of data that describes other data is known as metadata management. Metadata management aims to make it easy for someone or a program to find a specific data asset. This necessitates the creation of a metadata repository, its populating, and making the information in the storage accessible. Metadata encompasses a lot more than just data descriptions. Every day, metadata takes on new functions as data complexity grows. Metadata may be about the business viewpoint of quarterly sales in some circumstances. It may refer to the data warehouse's source-to-target mappings in other circumstances. It's all about context after that.
Compliance. It’s a daunting task for most compliance administrators. It’s also one of the most important components as to why you are regulated. You cannot comply without tracking your regulated items and monitoring that they are in place and working. The practice of arranging and tracking compliance-related data and actions to ensure that no detail is overlooked is known as compliance tracking. Compliance tracking may help you stay up to date when rules and standards change, as well as better understand how to plan for future projects, resources, and deadlines.
Data integration is a crucial feature in modern software that allows businesses to combine data from multiple sources seamlessly. It is the process of collecting, organizing, and combining data from various systems, databases, and applications, to provide a unified and comprehensive view of the data. This feature is an essential component of data management and analysis as it enables organizations to make informed decisions by gaining valuable insights from vast amounts of data. With data integration, businesses can eliminate data silos and create a single source of truth for
Cleaning, converting, and modeling data to discover relevant information for business decision-making is what data analysis is all about. Data analysis is the process of extracting usable information from data and making decisions based on that knowledge. When we decide our daily lives, we think about what happened the last time or if we make that particular option. This is nothing more than looking backward or forwards in time and making conclusions based on that information. We do so through recalling past events or dreaming about the future. So, data analysis is all there is to it. Data analysis is the name given to the same thing that an analyst conducts for business purposes.
Starts from $149 when Billed Yearly, also offers free forever plan
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Upto 1 Million Events per Month
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Upto 300 Million Events/Month
Unlimited Sources
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On-Demand Events
Support : Chat, Email
Support SLA : 12 Hours
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Business
Unlimited Sources
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On-Demand Events
Support : Chat, Email
Support SLA : 6 Hours
HIPAA
Free Initial Load
Single-Sign-On
Free
Upto 1 Million Events per Month
Unlimited Free Sources
Unlimited Models
Support : Email
Free Initial Load
Single-Sign-On
Unlimited User Limit per Seat
Starter
$179
Upto 300 Million Events/Month
Unlimited Sources
Unlimited Models
On-Demand Events
Support : Chat, Email
Support SLA : 12 Hours
Free Initial Load
Single-Sign-On
Business
Unlimited Sources
Unlimited Models
On-Demand Events
Support : Chat, Email
Support SLA : 6 Hours
HIPAA
Free Initial Load
Single-Sign-On
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Hevo makes it easy to get the analysis-ready data you need to power your data warehouse. Our no-code platform is engineered for modern ETL, ELT and Reverse ETL scenarios, so data teams can streamline and automate their organizational data flows with ease. It even saves you up to 10 hours per week and delivers 10x faster reporting, analytics and more. With a wide range of integrations across databases, SaaS applications, cloud storage, SDKs and streaming
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Researched by Rajat Gupta