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 Panoply
With click and collect functionality for any type of data, from structured to semi-structured, Panoply can gather data from your favorite SaaS API, any database, file store, or even flat files. No coding or engineering knowledge is required. You simply connect to your data source and click one button to start collecting data. As we gather your data we automatically build your data model. As you grow Panoply’s elastic warehouse scales and optimizes with your data. You can schedule your data to refresh as often as you need. As new data is collected Panoply automatically adjusts the data model and scales infrastructure for maximum performance.
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
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
Instantly ingest ANY data source with Built-in ETL
Standard SQL bench for querying directly in the data warehouse
Seamlessly connect to ANY BI visualization tool of your choice
Data modeled automatically thanks to natural language processesing
Built-n scalability and storage optimization thanks to machine learning
Automated performance optimization of storage and queries for a superior concurrency experience
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
Free Plan
Free
Included in plan:
Includes 1 Million Events
Starter Plan
$149.00
1 user(s) / month
Included in plan:
Includes 10 Million Events
Business
1 user(s) / month
Included in plan:
Includes Custom Number of Events
Pricing
Starter
$249.00
company license
Included in plan:
25 million rows
up to 12.5 GB of Storage
Unlimited Queries
PRO
$499.00
company license
Included in plan:
100 million rows
up to 50 GB of Storage
Unlimited Queries
Business
$749.00
company license
Included in plan:
Dedicated Data Architect
200 million rows
up to 100 GB of Storage
Unlimited Queries
Custom - enterpise
Custom Enterprise license
Included in plan:
Any # of Sources
Any # of Rows
Elastic Storage
Unlimited Queries
Dedicated Data Architect
Pricing
Cloud Analytics Jumpsttart
1 user(s) / month
Included in plan:
Low Annual Subscription
Support for Snowflake, GBQ, Amazon Redshift cloud data warehouses
Query access for up to 25 BI users
Support for Tableau, Excel, and PowerBI
Right Start implementation Support with 30-day trial
Hybrid Multi-Cloud Analytics Selectt
1 user(s) / month
Included in plan:
2 AtScale platforms
100 users
1 data connector type
Any data platform
Any BI/AI tool
Premium Support
Right Start implementation Support
Hybrid Multi-Cloud Analytics Premium
1 user(s) / month
Included in plan:
2 AtScale Platforms
100 users
AtScale Multi-Source Virtualization
3 data connector types
Premium Support
Complete Start Package
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
Does this service offer guides, tutorials and or customer support?
Yes, we have or online resources, including documentation, demos/tutorial vids, Community Forum of friendly users, live chat (not a bot! ) and our expert Data Architects who are on-call and always ready to help our customers or prospective customers.
Does this service offer an API?
We have an SDK.
Does this service offer multi-user capability (e.g. teams)?
Yes, we support teams with specific permission controls.
Who are the main user groups of this service?
Business analysts, data analysts, data engineers, and data scientists. Essentially, anyone working with analytics can easily use Panoply to gather any data sources and seamlessly connect to any BI visualization tool without being tech savvy or needing IT and engineering help to do so.
Does this service integrate with any other apps?
Yes, more than 150 apps, services & APIs. Panoply can seamlessly ingest any data source with its built-in ETL and instantly render the data to be ready to be queried - no coding or data engineering required.
What platforms does this service support?
We have over 150 integrations with databases, APIs, web apps and more. Go to the Panoply.io integrations page to see all of our integration partners.
What are some applications this service is commonly used in tandem with?
Chartio, Looker, Tableau, PowerBI and any standard SQL Workbench; R and python.
What is this service generally used for?
For citizen analysts that are dissatisfied with IT limiting their ability to provide data-driven insights, Panoply is a self-serve smart cloud data warehouse that automates and simplifies the data stack. Unlike in-house IT, we have assembled a "data team in a box" that empowers analysts to push a button and get a data warehouse up and running in minutes, not days.
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?
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