Compare MapR vs superQuery vs BigQuery

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85%
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78%
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Software Description:

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.

Software Description:

superQuery (patent pending) is an AI algorithm capable of understanding
the purpose of each query and amend it for maximum efficiency in real-time, resulting in faster, smarter and less expensive queries.

Most companies that use superQuery report 60% cost savings and 100% happy data scientists and analysts

Software Description:

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.

Features:

  • Dashboard
  • Analytics
  • Scheduling
  • External Integrations
  • Notifications
  • Data Visualization
  • Data Import
  • Data Export
  • 2-Factor Authentication
  • API

Features:

  • API
  • Data Visualization
  • Analytics
  • External Integrations
  • Data Mining
  • Dashboard
  • Scheduling
  • Multi-User

Features:

  • Dashboard
  • Data Visualization
  • Data Import
  • Data Export
  • Analytics
  • External Integrations
  • API

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 key features associated with this application.

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

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:

    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.

FAQs:

    Who are the main user groups of this service?
  • Any company (SMB & Enterprise) that is already using serverless BigData solutions such as Google BigQuery or AWS Athena.

  • Does this service offer an API?
  • Yes, this is a very important part of the service as ~80% of traffic is done via API.

  • What is this service generally used for?
  • Making sure data scientists and analysts won't make mistakes while using Google BigQuery and AWS Athena services. Produce better, smarter and more efficient queries while reducing costs by 60%.

  • Does this service integrate with any other apps?
  • yes with any BI product such as Looker, Tableau.

  • Does this service offer guides, tutorials and or customer support?
  • Yes, for now they're only internal but we're working to create additional content.

  • What platforms does this service support?
  • Google Bigquery; AWS Athena & Spectrum; Oracle 18C; Snowflake; and Microsoft TBD.

  • Does this service offer multi-user capability (e.g. teams)?
  • Yes - multi-user management with top-notch security.

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.

Publisher:

Founded:
-
Based in:
Santa Clara
Employees:
501-1000
Likes:
Followers:

Publisher:

Founded:
-
Based in:
-
Employees:
-
Likes:
Followers:

Publisher:

Founded:
-
Based in:
-
Employees:
myself only
Likes:
Followers:

Other:

Who uses MapR
  • SMEs
  • Enterprises
Desktop Platforms:
  • Windows
  • Macintosh
Languages:
English
Regional Restrictions:
No restrictions.

Other:

Who uses superQuery
  • Startups
  • SMEs
  • Agencies
  • Enterprises
Desktop Platforms:
  • Web App
Languages:
English
Regional Restrictions:
No restrictions.

Other:

Who uses BigQuery
  • SMEs
  • Enterprises
Desktop Platforms:
  • Web App
Languages:
Portuguese, German, English, Turkish, Italian, Korean, Dutch, French, Spanish, Chinese, Serbian
Regional Restrictions:
No restrictions.
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