Databricks
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Databricks runtime
- Interactive exploration
- Collaboration
- Visualization
- Dashboard
- Jobs scheduler
- Notebook workflows
- Run notebook as job
- Notification and logs
- Role based access control
- Integrated identity management
- End to end
- Auditing
- Compliance
- Secure deployment
- Integration
Pricing Info
Pricing Info
Databricks offers three SMB and enterprise pricing options for users to choose from. Give the details a look, and select the best plan for your business:
Databricks for Data engineering workloads – $0.20 per Databricks unit plus Amazon Web Services costs
- Apache Spark
- Databricks I/O
- Databricks jobs
- Databricks operational security package
Databricks for Data analytics workloads – $0.40/DBU plus Amazon Web Services costs
- Everything in the previous plan plus
- Databricks interactive clusters
- Databricks workplace
Databricks Enterprise Plan -By quote; Contact the vendor for more information
Integrations
Integrations
Databricks integrates with the following business systems and applications:
- Looker
- Amazon Redshift
- Tableau
- Talend
- Amazon Kinesis
- Alteryx
- MnigoDB
- TIBC Spotfire
- Pentaho
- Cassandra
- Redis
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
HP, NBCUniversal, Shell
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
Databricks is a unified data analytics software designed by the team that created Apache Spark.
Company Email
Contact No.
Company's Address
160 Spear Street — 13th Floor
San Francisco, CA 94105
USA
Databricks Comparisons
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Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Data Analytics
- Data Visualization
- Collaboration
- Data Centralization
- Data Blending
Pricing Info
DataDeck offers the following SMB and enterprise pricing information for users to choose from. Give the details a look, and select the best plan for your business:
Hobby – Free
- 50 cards
- 5 data connections
- Basic data sources
- Chat support
Start-up – $39 per user/month (paid annually)
- 100 cards
- 10 data connections
- Advanced data sources
- Dashboard filters
- Chat support
Business – $99 per user/month (paid annually)
- 300 cards
- 30 data connections
- All data sources
- Ability to blend data
- Calculated metrics
- Personalized support
Enterprise – request for a quote
- Unlimited cards
- Unlimited data sources
- Unlimited data connections
- Ability to blend data
- Calculated metrics
- Personalized support
Integrations
DataDeck integrates with the following business systems and applications:
- Slack
- Google Adwords
- Oracle
- MySQL
- Salesforce
- Stripe
- Google Adsense
- Google Drive
- OneDrive
- Amazon S3
- Ptengine
- Google Analytics
- MailChimp
- Facebook Ads
- Google BigQuery
- Amazon RDS
- Amazon RedShift
- Amazone RDS Aurora
- PostgreSQL
- Microsoft SQL
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Information Ag, Stanford University, Artesian Network
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
DataDeck is a business intelligence and data analytics and visualization solution that gathers all relevant data and other information into a single dashboard and presents them in stunning visual.
Company Email
Business@ptmind.com
Contact No.
Company's Address
Room202, 5-29-7, Sendagaya, Shibuya-ku
Tokyo, 151-0051
Japan
DataDeck Comparisons
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You should pay attention to the fact that even though both Databricks and DataDeck may offer a top quality array of features each service may be created for a different company size. If you are comparing features you should give some attention to a company type they are meant for. Certain functionalities may scale up with no problem for large enterprises but if you own a small or mid-sized business it’s usually better to avoid paying for complex functionalities that you might never actually use.
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