Compare Hevo vs AtScale

About Hevo

Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows that result in a saving of ~10 hours of engineering time/week and 10x faster reporting, analytics, and decision making.

The platform supports 100+ ready-to-use integrations across Databases, SaaS Applications, Cloud Storage, SDKs, and Streaming Services. Over 500 data-driven companies spread across 35+ countries trust Hevo for their data integration needs. Try Hevo today and get your fully managed data pipelines up and running in just a few minutes.

About AtScale

AtScale is the leading provider of intelligent data virtualization for big data analytical workloads, empowering citizen data scientists to accelerate and scale their business’ data analytics and science capabilities and ultimately build insight-driven enterprises.

AtScale connects people to live disparate data without the need to move or extract it, leveraging existing investments in big data platforms, applications and tools. AtScale creates automated data engineering using a single set of semantics so consumers can query live data (either on premise or in the cloud) in seconds without having to understand how or where it is stored—providing security, governance and predictability in data usage and storage costs.

Features:

• Design Canvas: AtScale’s Design Canvas visually and intuitively connects to any data platform, allowing you to create virtual multidimensional cubes without ETL.
• Autonomous Data Engineering: Just-in-time query optimization that anticipates the needs of the data consumer.
• Universal Semantic Layer: A workspace with a Design Canvas for your data consumers to define business meaning and get a single-source-of-truth.
• Security & Data Governance: Centralized security policy to decentralize access using the tenants of Zero Trust.
• Virtual Cube Catalog: A gateway to data that is easily discoverable and frictionless—and available to use every day, en masse.

Benefits:

• No data movement: AtScale is agnostic to data platforms and data location, whether on-premises or in the cloud, in a data lake or a data warehouse.
• Automatic “smart” aggregate creation: AtSacle’s intelligent aggregates adapt to the data model and how it is used, automating the data engineering tasks required to support those activities and reducing time spent from weeks to hours.
• Use your existing BI and AI tools: AtScale provides access to live, atomic-level data without the user needing to understand where or how to access the data, so you can keep using your tools of choice.
• No more extracts or shadow IT: AtScale eliminates the need for extracts with a single, consistent, governed view of live data, regardless of which BI and AI tools are used.
• Data-as-a-service: AtScale allows metadata to be created once, with centrally defined business rules and calculations, exposing data assets as a service.
• Data platform portability: Models built in AtScale are portable, with no need to recreate them for different platforms. AtScale can easily be repointed to new data platforms, making migration seamless to business users.
• Faster time-to-insight: AtScale reduces time-to-insight from weeks and months to minutes and hours. AtScale virtual models can be created and deployed in no time, with no ETL or data engineering.
• Future-proof your data architecture: AtScale alleviates the complexities of data platform and analytics tool integration, making cloud, hybrid-cloud and multi-cloud data architectures a reality without compromising performance, security, agility or existing governance and security policies.

Features

• 2-Factor Authentication
• A/B Testing
• Analytics
• API
• Calendar Management
• Contact Management
• Dashboard
• Data Export
• Data Import
• Data Mining
• Data Visualization
• External Integrations
• Forecasting
• Keyword Tracking
• Multi-User
• Notifications
• Scheduling
• SEO

Features

• 2-Factor Authentication
• A/B Testing
• Analytics
• API
• Calendar Management
• Contact Management
• Dashboard
• Data Export
• Data Import
• Data Mining
• Data Visualization
• External Integrations
• Forecasting
• Keyword Tracking
• Multi-User
• Notifications
• Scheduling
• SEO

Summary

• Pre-built Integrations with 100+ Data Sources

• Fully Automated Data Flows with No-code Interface

• Supports ETL, ELT, and Reverse-ETL use cases

• Data Modeling and Workflows

• Real-time Alerts & Notifications

• Replay/Re-run Failed Events

• Auto-schema Management

• Supports Historical and Incremental Data Load (CDC)

• Secure Connection with SSH Tunnel and SSL/TSL Encryption

• Supports Advanced Transformations

Summary

• No data movement: AtScale is agnostic to data platforms and data location, whether on-premises or in the cloud, in a data lake or a data warehouse.

• Use your existing BI and AI tools: AtScale provides access to live, atomic-level data without the user needing to understand where or how to access the data, so you can keep using your tools of choice.

• No more extracts or shadow IT: AtScale eliminates the need for extracts with a single, consistent, governed view of live data, regardless of which BI and AI tools are used.

• Faster time-to-insight: AtScale reduces time-to-insight from weeks and months to minutes and hours. AtScale virtual models can be created and deployed in no time, with no ETL or data engineering.

• Future-proof your data architecture: AtScale alleviates the complexities of data platform and analytics tool integration, making cloud, hybrid-cloud and multi-cloud data architectures a reality without compromising performance, security, agility or existing governance and security policies.

• Design CanvasTM: AtScale’s Design Canvas visually and intuitively connects to any data platform, allowing you to create virtual multidimensional cubes without ETL.

• Universal Semantic LayerTM: A workspace with a Design Canvas for your data consumers to define business meaning and get a single-source-of-truth.

• Autonomous Data Engineering: Just-in-time query optimization that anticipates the needs of the data consumer.

• Security & Data Governance: Centralized security policy to decentralize access using the tenants of Zero Trust.

Pricing

Pricing

FAQs

Who are the main user groups of this service?

• Data Engineers, Data Scientist, Business Analyst, Data Analyst, BI Engineers

Does this service offer guides, tutorials and or customer support?

• Yes

Does this service offer multi-user capability (e.g. teams)?

• Yes

Does this service integrate with any other apps?

• Yes

What is this service generally used for?

• ETL, Data Migration, Data Warehousing

Does this service offer an API?

• Yes

FAQs

What platforms does this service support?

• Any data platform, any BI tool.

What is this service generally used for?

• Single view of enterprise data with no data movement, self-service BI and analytics.

Does this service offer multi-user capability (e.g. teams)?

• Yes.

Who are the main user groups of this service?

• Information Technology, Business Intelligence, Data Science

Does this service offer guides, tutorials and or customer support?

• Customer support, technical guides.

Vendor Information

Vendor Information

Other

• Startups
• SMEs
• Enterprises

Other

• Enterprises