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’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." - Praveen Kumar
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
Why is DataStax Enterprise the best choice for Engagement Management?
What benefits does DataStax Enterprise offer for Helpdesk Management?
Why is DataStax Enterprise the best choice for Onboarding?
What makes DataStax Enterprise ideal for Products & Pricelist Management?
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’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 |
|
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 |
|
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 |
|---|---|
|
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 |
|
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 |
|
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 SkyPoint
CASE STUDY Endowus
CASE STUDY FamilySearch
CASE STUDY Funstage
CASE STUDY FINN.no
CASE STUDY Equinix
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
DataStax Launches New Hyper-Converged Data Platform Giving Enterprises the Complete Modern Data Center Suite Needed for AI in Production - FinTech Futures
DataStax has announced the launch of its Hyper-Converged Data Platform (HCDP) and the upcoming release of DataStax Enterprise (DSE) 6.9. HCDP is designed for modern data centers, integrating OpenSearch and Apache Pulsar to enhance AI capabilities and data retrieval. DSE 6.9 introduces generative AI features and vector search capabilities to existing on-premises data, aiming to reduce costs and improve operational efficiency.
DataStax Named the Leader in Vector Databases on G2
DataStax has been recognized as the leader in vector databases by G2, a top software review platform. This distinction highlights DataStaxs strength in AI-ready database technology, reflecting high customer satisfaction and strong market presence in the vector database segment.
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.
DataStax, Inc Profile
HQ Location
Silicon Valley, 3975 Freedom Circle, 4th Floor, Santa Clara, CA 95054, USA
Employees
251-500
Social
Financials
SERIES F
