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Customer Spotlight

Dataworkz Optimizes its Startup Resources with Pay-As-You-Go Astra DB

The complexities of analytics based on artificial intelligence (AI) aren’t always easy to master for the average business user. But Dataworkz is trying to change that by offering an easy-to-understand user interface for its no-code, high-performance cloud service that unifies data, transformations, and AI for business users. Learn about the company’s mission, how Dataworkz uses Apache Cassandra®, and why the company migrated to DataStax Astra DB.

Dataworkz
Products & Services
Industry

Technology

Location

Milpitas, CA

Enterprise

Dataworkz

  • Saving money with the Astra DB pay-as-you-go, managed Cassandra consumption model
  • Optimized columnar storage with Apache Cassandra to create an activity stream, fostering collaboration between data producers and data consumers
  • Gaining the ability to restore backups upon request from DataStax
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  • Saving money with the Astra DB pay-as-you-go, managed Cassandra consumption model
  • Optimized columnar storage with Apache Cassandra to create an activity stream, fostering collaboration between data producers and data consumers
  • Gaining the ability to restore backups upon request from DataStax
AstranautContact Sales

Dataworkz accelerates the creation of artificial intelligence (AI) applications by offering a service that unifies data, processing, and machine learning (ML) in a simple, intuitive visual interface for business analysts, data engineers, and citizen data scientists.

The Hunt for a Managed Cassandra Solution

Like many startups, most of the development work during Dataworkz’s earliest days was done by a small group of people. The development team included experienced Apache CassandraⓇ developers, so when a column store was needed to build a high-performance, highly scalable activity stream module, Cassandra was a natural choice. However, with the company’s limited resources dedicated to developing its product offering, the Dataworkz team didn’t have time to manage its own Cassandra clusters with the overhead of maintenance, backups, and upgrades.

​​Dataworkz explored cloud-native options for a Cassandra database-as-a-service (DBaaS) that could form part of Dataworkz’s multi-modal data platform environment, which also included relational and graph-based databases. It found that Amazon Keyspaces, which mandated provisioning a minimum capacity, required an upfront cost commitment. The Dataworkz team continued investigating its options and noted that DataStax, and its serverless Astra DB offering, met all its requirements for a column store—with the advantage of pay-as-you-go pricing.

Astra DB's high performance and reliability ideal for the Dataworkz platform

To better meet the company’s needs, Dataworkz switched to DataStax Astra DB. Dataworkz co-founder and CTO Nikhil Smotra notes that Astra DB was very easy to set up, with strong, enterprise-grade security, fast queries, global availability, and scalability. He especially values Astra DB’s cost-effective, consumption-based model, providing the flexibility a startup like Dataworkz needs. In addition, Smotra’s team can “time travel” and restore a backup within 20 days, if needed.

Dataworkz appreciates Astra DB’s enterprise-grade security, which encrypts data in motion and at rest and includes support for bringing your encryption key (BYOK) management. Options for private connectivity like VPC peering and Private Link and SAML SSO integration with identity providers further enhance the service.

Astra DB's high performance and reliability is ideal for handling and documenting high volumes of events as part of Dataworkz’s product activity stream. This activity stream tracks all actions performed within the Dataworkz system to uniquely foster collaboration between data teams. With many enterprises relying on disparate data sources often in silos, Dataworkz fuses data discovery, transformation, and correlation in a seamless experience for its customers.

“We unify the data processing and artificial intelligence into a streamlined experience for business end-users, so they can go from knowing nothing about the data to understanding what the data means to be able to transform the data—all without going through the IT team for each new request or modification,” says Smotra. Dataworkz’s end-users love the no-code, visual interface.

Looking Ahead

Dataworkz sees immense opportunity in making artificial intelligence (AI) and data analytics processes more transparent. “We unlock the black box to democratize access to the powers of AI and disparate data aggregation. Dataworkz enables clients to unlock greater collaboration between the data consumers and data producers across their organizations to improve business outcomes,” says Smotra.

Dataworkz has relied on Astra DB for nearly a year with 100% uptime. In the meantime, the company has successfully expanded its business from early customers to new clients.

Smotra expects the company’s Astra DB consumption will grow as they sign up more customers. The pay-as-you-go model offered by DataStax helps Dataworkz conserve its working capital and focus its budget on developing product features that customers want.

Astra DB’s global scale across major cloud provider regions helps Dataworkz reliably serve clients with operations worldwide. “We can scale dynamically with them and guarantee high performance whenever they need it,” Smotra says.

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