Compare Hevo vs MapR

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 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.

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

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 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?

• Support: Community, On-Demand Training Options, FAQs, Knowledge Base, 24x7 Phone Support, Urgent Bug Fixes.

Vendor Information

Vendor Information

Other

• Startups
• SMEs
• Enterprises

Other

• SMEs
• Enterprises

• Windows
• Macintosh