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 BigQuery
BigQuery is a Google Cloud Platform tool - a database-as-a-service (DBaaS) maintaining the querying and rapid analysis of enterprise-level big data. This is one of the best parallel solutions for Google Analytics, able to store terabytes of data.
This cloud data warehouse service is a solution for not only Google Analytics data management, but also for any other data that users need to store and analyze. BigQuery does not require a server or a database administrator, it is low-cost, and makes data analytics productive.
The key parts of this solution are the fast SQL-based queries, capacity scaling, integration with more existing ETL tools, logical data warehousing, automatic backup, and more. The service is free for up to 1TB of data analyzed each month and 10GB of data stored.
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
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
Serverless
Real-Time Analytics
Automatic High Availability
Standard SQL
Federated Query and Logical Data Warehousing
Storage & Compute Separation
Automatic Backup & Easy Restore
Data Transfer Service
Big Data Ecosystem Integration
Petabyte Scale
Summary
Apache Hadoop
MapR-DB
Scalability
Standards-Based APIs and Tools
Manageability
Direct Access NFS™
Integrated Security
Multi-Tenancy
Consistent Snapshots
High Availability
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
Storage
$0.02
Per GB, Per Month
Included in plan:
First 10 GB is free each month.
Long Term Storage
$0.01
Per GB, Per Month
Included in plan:
Price of storage drops by 50 percent to $0.01 per GB per month for inactive tables.
No degradation of performance, durability, availability, or any other functionality for long term storage tables.
$0.02 per GB per month for actively edited tables.
Streaming Inserts
$0.05
Per GB
Included in plan:
Loading data into BigQuery is free, except for a small charge for streamed data
Storage pricing is based on the amount of data stored in your tables.
Queries
$5.00
Per TB
Included in plan:
You aren't charged for queries that return an error, or for cached queries.
Charges are rounded to the nearest MB, with a minimum 10 MB data processed per table and per query.
Cancelling a running query job may incur charges.
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?
Support: Knowledge Base, Tutorials, Training, Help Center, Email Support, Community.
What is this service generally used for?
BigQuery is used as an enterprise analytics data warehouse.
Does this service integrate with any other apps?
It integrates with Alooma, Blendo, Fivetran, Funnel, Atom Data, Informatica, Lytics, Matillion ETL, SAP, Segment, SnapLogic, Stitch, Striim, Switchboard, Skyvia, Talend, Treasure Data, Xplenty.
Who are the main user groups of this service?
Main users of this service are data scientists and analysts in enterprises.
What are some applications this service is commonly used in tandem with?
It is most commonly used in tandem with Google Analytics.
Does this service offer an API?
Yes, it offers REST API.
What platforms does this service support?
This is a web-based platform.
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?
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