DataStax Enterprise Overview
DataStax's AI Platform addresses the challenge of swiftly transitioning from app conception to production. It integrates Astra DB, a database designed for ultra-low latency, crucial for AI applications requiring rapid data processing. Langflow, a low-code RAG IDE, simplifies development, enabling faster deployment without extensive coding expertise. The platform supports seamless integration with existing tech stacks, ensuring compatibility and ease of use. By leveraging Apache Cassandra®, it offers near-zero latency, essential for real-time data management and AI-driven insights. This solution is ideal for businesses aiming to efficiently build and deploy AI applications at scale, reducing development friction and accelerating time-to-market.
Use Cases
Customers recommend Engagement Management, Lead Analytics, Helpdesk Management, as the business use cases that they have been most satisfied with while using DataStax Enterprise.
Business Priorities
Scale Best Practices and Acquire Customers are the most popular business priorities that customers and associates have achieved using DataStax Enterprise.
DataStax Enterprise Use-Cases and Business Priorities: Customer Satisfaction Data
DataStax Enterprise's features include Ticketing, Personalization, Alerts: Popups & Notifications, etc. and DataStax Enterprise support capabilities include AI Powered, 24/7 Support, Email Support, etc. also DataStax Enterprise analytics capabilities include Analytics, and Custom Reports.
Reviews
"DSE Search is very versatile in nature and provides many options to query the data, including ranged queries, regular expression based search, non-equality based search and faceted queries — which are all tempting to use." - Javed Roshan
DataStax Enterprise, Tubular, Digital Pigeon, eLogger, Cerberus FTP Server, etc., all belong to a category of solutions that help Data Management Platform. Each of them excels in different abilities. Therefore, determining the best platform for your business will depend on your specific needs and requirements.
DataStax Enterprise enables scalable app deployment on Kubernetes or bare metal. Performance and flexibility are optimized for modern data workloads.
Popular Business Setting
for DataStax Enterprise
Top Industries
- Financial Services
- Information Technology and Services
- Marketing and Advertising
Popular in
- Small Business
- Enterprise
- Large Enterprise
DataStax Enterprise is popular in Financial Services, Information Technology And Services, and Marketing And Advertising and is widely used by Small Business, Enterprise, and Large Enterprise.
DataStax Enterprise Customer wins, Customer success stories, Case studies
Why is DataStax Enterprise the best choice for Engagement Management?
How can DataStax Enterprise enhance your Helpdesk Management process?
What makes DataStax Enterprise ideal for Onboarding?
How does DataStax Enterprise address your Products & Pricelist Management Challenges?
11 buyers and buying teams have used Cuspera to assess how well DataStax Enterprise solved their Data Management Platform needs. Cuspera uses 1209 insights from these buyers along with peer reviews, customer case studies, testimonials, expert blogs and vendor provided installation data to help you assess the fit for your specific Data Management Platform needs.
| CUSTOMERS | TESTIMONIALS |
|---|---|
|
DSE Search is very versatile in nature and provides many options to query the data, including ranged queries, regular expression based search, non-equality based search and faceted queries — which are all tempting to use. Testimonial By Javed Roshan |
|
Cassandra has proven itself to be a very fast and useful solution for us at GE Aviation. However, we have important use cases that require ad-hoc queries. To get around the current limitations, we have been using Solr with variable success. We are very excited about SAI. It has the potential to eli...minate a huge pain point for us. It will further help the adoption of Cassandra and generally make the lives of many developers easier. This is definitely a step in the right direction for Cassandra |
|
Cassandra’s peer-to-peer architecture guarantees no single point of failure to collect and store streaming data from infrastructure instruments and enables us to write and read from any node with minimal latency. Testimonial By Praveen Kumar |
| CUSTOMERS | TESTIMONIALS |
|---|---|
|
Javed Roshan Director of Data Services Capital One |
DSE Search is very versatile in nature and provides many options to query the data, including ranged queries, regular expression based search, non-equality based search and faceted queries — which are all tempting to use. Testimonial By Javed Roshan |
|
Julian Chultarsky Principal Enterprise Applications Engineer GE Aviation |
Cassandra has proven itself to be a very fast and useful solution for us at GE Aviation. However, we have important use cases that require ad-hoc queries. To get around the current limitations, we have been using Solr with variable success. We are very excited about SAI. It has the potential to eli...minate a huge pain point for us. It will further help the adoption of Cassandra and generally make the lives of many developers easier. This is definitely a step in the right direction for Cassandra |
|
Praveen Kumar Manager of Emerging Technologies Equinix |
Cassandra’s peer-to-peer architecture guarantees no single point of failure to collect and store streaming data from infrastructure instruments and enables us to write and read from any node with minimal latency. Testimonial By Praveen Kumar |
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Frequently Asked Questions(FAQ)
for DataStax Enterprise
What is DataStax Enterprise?
DataStax Enterprise is a Business Process Management Software. DataStax Enterprise is a reliable data platform that leverages the distribution of Apache Cassandra. This software is designed to help businesses to focus more on delivering exceptional value and experience and derive optimal benefit from its dedicated innovation.
DataStax Enterprise is a robust always-on data tool that enables businesses to effortlessly scale their operations with premium features which include administration & monitoring, developer & drivers, search, analytics, graph, and security. DataStax supports multiple deployment options including; managed services, multi-data center, operate on any hardware, hybrid cloud, and advanced replication.
With DataStax business gets real-time value epic scale for its cloud applications. It allows to wade through the traditional modules and create the next-generation transformation technology.
What is DataStax Enterprise used for?
What are the top features of DataStax Enterprise?
Who uses DataStax Enterprise?
What are DataStax Enterprise alternatives?
Where is DataStax Enterprise located?
Peers used DataStax Enterprise for engagement management and lead analytics
DataStax Enterprise Competitors
DataStax Enterprise Features
- Low
- Medium
- High
| FEATURE | RATINGS AND REVIEWS |
|---|---|
| AI Powered | Read Reviews (24) |
| Analytics | Read Reviews (124) |
| Custom Reports | Read Reviews (163) |
| CAPABILITIES | RATINGS AND REVIEWS |
|---|---|
| AI Powered | Read Reviews (24) |
| Analytics | Read Reviews (124) |
| Custom Reports | Read Reviews (163) |
DataStax Enterprise Integrations
DataStax Enterprise integrates with a wide range of software applications through its robust data import and export capabilities.
Software Failure Risk Guidance
?for DataStax Enterprise
Overall Risk Meter
Top Failure Risks for DataStax Enterprise
DataStax, Inc News
AWS Hires Former DataStax CEO, Google VP To Boost AI Security - CRN
AWS has appointed former DataStax CEO Chet Kapoor as its new vice president of cybersecurity to enhance AI security. Kapoor, who led DataStax's development of Astra DB and AI capabilities, will report to AWS CEO Matt Garman. This move follows IBM's acquisition of DataStax earlier this year.
DataStax Expands Astra DB Extension for GitHub Copilot to Support Its AI PaaS, Empowering Developers to Build and Deploy GenAI Applications With Ease | DataStax
DataStax has enhanced its Astra DB extension for GitHub Copilot to support its AI Platform-as-a-Service (AI PaaS), enabling developers to build and deploy generative AI applications more efficiently. The update introduces features like database creation and Langflow flow generation directly through GitHub Copilot, streamlining workflows and reducing development time.
DataStax Delivers Glean and Unstructured Integrations to AI Platform at RAG++ Event in NYC | DataStax
DataStax announced new integrations and features for its AI PaaS at the RAG++ event in NYC. The platform now includes native integrations with Unstructured.io and Glean, enhancing data ingestion and query relevancy for GenAI applications. The updates aim to streamline data processing and improve AI workflows, offering developers a faster path to production-ready applications.
New AI Platform Launched at RAG++ Event with Partners | DataStax
DataStax has launched major updates to its Generative AI platform, enhancing RAG application development speed by 100 times. The updates include the release of Langflow 1.0, a visual framework for RAG applications, and new partnerships with companies like Unstructured and Mistral AI. These advancements aim to simplify AI application development and improve data handling and embedding processes.
DataStax, Inc Profile
HQ Location
Silicon Valley, 3975 Freedom Circle, 4th Floor, Santa Clara, CA 95054, USA
Employees
251-500
Social
Financials
SERIES F
