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Diyotta India Private Ltd.

Diyotta delivers trusted data fast. An enterprise-class, serverless data integration platform, Diyotta connects quickly and securely to diverse data sources and delivers massive volumes of data to target systems across cloud, multi-cloud, and on-premises environments. It is the first data integration solution to leverage the transformative power of modern data processing platforms, including Snowflake, Google BigQuery, Amazon Redshift, and others. Organizations such as Sprint, Scotiabank, Canadian Tire, Cox Automotive and ERC rely on Diyotta's technology.
Country/AreaIndia
Company Emailcontact@diyotta.com
IndustrySoftwareSoftware General
Company website
Company phone(704) 817-4646
Established-
Company Revenue$17,341,000
Number of employees88
SIC Code73737
NAICS Code54541
http://www.linkedin.com/company/diyotta-inc-https://twitter.com/diyottahttps://www.facebook.com/diyottainchttps://www.youtube.com/channel/uc91lmxv23r7lurzjuul9kdw

Company News

ThoughtSpot Buys Diyotta
ThoughtSpot, a Sunnyvale, CA-based Modern Analytics Cloud company, is to acquire Diyotta, a provider of an enterprise-class, serverless data integration platform. The amount of the deal was not disclosed. Concurrently, ThoughtSpot also announced the launch of ThoughtSpot Everywhere, a low-code development platform for building interactive data apps, and embedding its consumer-grade analytics services into SaaS offerings from technology […] The post ThoughtSpot Buys Diyotta appeared first on FinS
dateMay 5, 2021
ThoughtSpot Acquires Diyotta to Expand Ecosystem for the Modern Analytics Cloud
SUNNYVALE, Calif.--(BUSINESS WIRE)--ThoughtSpot, the Modern Analytics Cloud company, today announced it has entered into a definitive agreement to acquire Diyotta. Concurrently, ThoughtSpot also announced the launch of ThoughtSpot Everywhere, the first low-code development platform for building interactive data apps, and embedding ThoughtSpot’s consumer-grade analytics services into SaaS offerings from technology companies and custom web applications built by IT teams. The new relationship with
Diyotta Launches AI Driven, Cloud Data Pipeline Platform for Enterprise Business
Datom, a self-service multi-cloud, multi-data warehouse SaaS cloud data integration platform released March 2, 2021. CHARLOTTE, NC, UNITED STATES, March 2, 2021 /⁨EINPresswire.com⁩/ -- Diyotta, a leader in data integration tools announces the launch of …
Diyotta 4.5 Empower Users with Greater Ease of Use and a Modern Architecture
Diyotta's latest release adds several user-driven enhancements and performance features to improve "time to value" for its customers. (PRWeb June 24, 2020) Read the full story at https://www.prweb.com/releases/diyotta_4_5_empower_users_with_greater_ease_of_use_and_a_modern_architecture/prweb17214321.htm
dateJun 24, 2020
Diyotta Is Now Available on Microsoft Azure Marketplace
Diyotta announces availability of data integration solution on Microsoft Azure (PRWeb February 26, 2020) Read the full story at https://www.prweb.com/releases/diyotta_is_now_available_on_microsoft_azure_marketplace/prweb16938412.htm
dateFeb 26, 2020

Business Info

CINU72200TG2011PTC076874
Registered StateTelangana
Registrar Of CompaniesRoC-Hyderabad
CategoryCompany limited by Shares
Sub CategoryNon-govt company
Company ClassPrivate
Company StatusActive
Registered Office AddressQ City, A Block, Ground Floor, Sy No.109,110,111/2 Nanakramguda Village, Serilingampally Mandal Hyderabad Hyderabad TG IN 500032
Authorized Cap500000.00
Paidup Capital500000.00

Web Summary

Q1: What is the company name and its type?
A1: The company name is Diyotta India Private Ltd., but it seems to be a typo or incorrect information as the official website mentions "PurpleCube AI" instead of "Diyotta". However, based on the content provided, it appears that PurpleCube AI is the actual company being referred to.

Q2: What is the industry and services offered by PurpleCube AI?
A2: PurpleCube AI operates in the data engineering and analytics industry. The services they offer include unified data engineering, automation, activation, and resources management, as well as training, certification, events, platform support, and partner programs.

Q3: What are some of the key features of PurpleCube AI's platform?
A3: Some key features of PurpleCube AI's platform include realtime Gen AI assistance for data transformation, data quality rules, and business glossary enrichment; unified data engineering with embedded Gen AI capabilities; natural language queries for streamlined data analysis processes; and enhanced productivity and resources for data teams.

Q4: What are the benefits of using PurpleCube AI's software?
A4: The benefits of using PurpleCube AI's software include security compatibility, single signon for modules, small installation, data lineage, and integration with enterprise schedulers. Additionally, customer support is highly responsive and committed to helping customers achieve their goals.

Q5: What are some success stories or testimonials from existing customers?
A5: Existing customers such as Scotiabank and Compassus have reported significant benefits from using PurpleCube AI's software, including rapid data lake setup, optimized operations, cost reduction, and improved data transformation capabilities. These customers praise the company's customer support and featurerich software.

Q6: What is the deployment option for PurpleCube AI?
A6: PurpleCube AI offers flexible deployment options, including cloud, onpremise, or hybrid deployment, as well as a choice of processing engines. This allows enterprises to choose the best deployment option that suits their needs.

Q7: What kind of support does PurpleCube AI offer?
A7: PurpleCube AI offers 24/7 SLAdriven support, comprehensive global support, customer success managers for personalized assistance, phone support, and a searchable knowledge base for selfhelp. They also provide regular training sessions and webinars to help users understand and utilize the product effectively.

Q8: What is the company's stance on data privacy, security, and resiliency?
A8: PurpleCube AI prioritizes data privacy, security, and resiliency, treating data like a product in their data operating model. They ensure that data is processed and delivered in realtime while maintaining high standards of data quality and security.
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