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
"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 v...ery excited about SAI. It has the potential to eliminate 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" - Julian Chultarsky
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.
Comprehensive Insights on DataStax Enterprise Use Cases
What solutions does DataStax Enterprise provide for Engagement Management?
What solutions does DataStax Enterprise provide for Helpdesk Management?
How does DataStax Enterprise facilitate Onboarding?
How can DataStax Enterprise enhance your Products & Pricelist Management process?
27+ more Business Use Cases
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.
Customer Testimonials
| CUSTOMERS | TESTIMONIALS |
|---|---|
|
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 |
|
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 |
| CUSTOMERS | TESTIMONIALS |
|---|---|
|
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 |
|
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 |
Case Studies
Case Study ACI Worldwide
Case Study Bouygues Telecom
Case Study Macy’s
Case Study Capital One
Case Study Babylon Health
Case Study Mint Bills
Video
Collapsing Data Silos with DataStax Enterprise Multi-Model
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
IBM Officially Closes Acquisition of DataStax
IBM has officially completed its acquisition of DataStax, a leading provider of cloud-native NoSQL database technology. This move strengthens IBM's data and AI platform offerings by integrating DataStax's expertise in scalable, real-time data management for enterprise applications.
DataStax partners with OpenSearch to enhance generative AI search - IT Brief Australia
DataStax has partnered with the OpenSearch Software Foundation to drive integration efforts supporting generative AI developers. The collaboration will focus on enhancing retrieval-augmented generation (RAG) capabilities, combining DataStaxs real-time AI database technology with OpenSearchs open-source search platform. This partnership aims to improve contextual data retrieval for large language models, advancing enterprise AI search solutions.
Wikimedia Deutschland Launches AI Knowledge Project in Collaboration with DataStax Built with NVIDIA AI - Tech Funding News
Wikimedia Deutschland and DataStax collaborate on an AI knowledge project using NVIDIA AI technology.
DataStax Expands Astra DB Extension for GitHub Copilot to Support Its AI PaaS, Empowering Developers to Build and Deploy GenAI Applications With Ease - Business Wire
DataStax expanded Astra DB's GitHub Copilot extension to support AI PaaS, helping developers easily build and deploy generative AI applications.
DataStax, Inc Profile
HQ Location
Silicon Valley, 3975 Freedom Circle, 4th Floor, Santa Clara, CA 95054, USA
Employees
251-500
Social
Financials
SERIES F
Get a personalised risk report for DataStax Enterprise
See Sample Risk ReportTell us more about yourself so that we can personalise incidents for your location, industry etc.
Connect to vendor request
DataStax Enterprise may get in touch with you regarding your request.
Request Custom Quote
DataStax, Inc will get in touch with you regarding your request.