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 MapR
MapR offers one of industry’s leading unified data platforms that is capable of performing analytics and applications with speed, scale, and reliability. Companies that use this solution are able to to do analytics and applications simultaneously as data happens.
MapR provides access to a diversity of data sources including Apache Hadoop, Apache Spark, a distributed file system, a multi-model database management system, and event stream processing. The platform features high performance, simple deployment and TCO through its converged platform. Its NFS function allows users to copy to an NFS share that is distributed across the entire cluster.
Besides MapR Converged Data Platform, MapR offers following modules: MapR-XD, highly-scalable storage module; MapR Analytics and ML engines, for real-time analytics; MapR-DB, which is a high-performance NoSQL database; MapR-ES, the event streaming system for big data; The MapR Control System, for administering the MapR Converged Data Platform; MapR-Edge, for capturing, processing, and analyzing IoT data.
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
Apache Hadoop
MapR-DB
Scalability
Standards-Based APIs and Tools
Manageability
Direct Access NFS™
Integrated Security
Multi-Tenancy
Consistent Snapshots
High Availability
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
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
What are some applications this service is commonly used in tandem with?
It is commonly used in tandem with various databases.
Who are the main user groups of this service?
Users of MapR are SMEs and large enterprises in Telecommunications, Healthcare, Financial Services, Retail, Media and Entertainment, Manufacturing, Oil and Gas, and Public Sector.
What platforms does this service support?
Users of MapR can choose the hardware, hypervisor, container and cloud platform that best suits their business. They will be able to move exabytes of data across edge, on-premises, and cloud deployments, as well as to automate data transfer across storage tiers, including SSD, HDD, and cloud.
Does this service offer an API?
Yes.
Does this service offer multi-user capability (e.g. teams)?
No.
What is this service generally used for?
This service is generally used for big data management.
Does this service offer guides, tutorials and or customer support?