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About Peaka

Peaka is a zero-ETL embedded data integration platform from Peaka that integrates all the data sources, such as databases, SaaS tools, NoSQL, and APIs, and shows them as a single data source immediately. It provides integrations, community support, and various deployment options so organizations can simplify data management. Built with security in mind, Peaka allows users to access and manage their data efficiently. Users can join the Peaka community and explore the platform’s benefits. Key capabilities: integrations Peaka Enterprise Peaka Cloud embedded Peaka community support Best for: data engineers and analysts that need to unify diverse data sources without extensive ETL processes.

Peaka Details

Vendor
Peaka
Year Launched
2020
Location
2100 Geng Rd, Palo Alto, California 94303, US
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries.
Languages
English
Users
Data Analysts, Data Scientists, Business Intelligence Analysts, Data Engineers.
Industries Served
Healthcare, Education, Finance, Retail
Tags
Data Warehousing, Data Lake, Data Applications, Zero-ETL, Data Engineering, Data Science, Data Exchange, and Analytics

Peaka's In-App Market Place

Does Peaka have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($)

Pros & Cons

  • Simplified Data Integration: Eliminates the need for traditional ETL processes, streamlining data management.
  • Extensive Connectivity: Offers over 300 connectors, facilitating integration with various data sources.
  • AI-Powered Querying: Enables natural language queries, making data analysis accessible to non-technical users.
  • Scalable Infrastructure: Utilizes a serverless architecture that automatically scales based on usage.
  • Cost Control: Charges based on actual usage, avoiding costs for idle resources.
  • Limited customization options for data visualization
  • Lack of advanced analytical features such as predictive analytics
  • Steep learning curve for beginners due to complex interface
  • Inconsistent performance and slow loading times with large datasets

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