Customer stories

Product Business Settings

DataStax Enterprise is popular in Financial Services, Information Technology And Services, and Marketing And Advertising industries and is widely used by Small Business, Enterprise, and Large Enterprise.

Integrations

Customer Data Platform
Data Management Platform
Business Intelligence
Contact Center Software

DataStax Enterprise Product 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.

How satisfied the customers are with DataStax Enterprise use-cases

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
"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 Customer Insights, Testimonials and Case Studies

How efficiently Does DataStax Enterprise manage your Engagement Management?

What makes DataStax Enterprise ideal for Helpdesk Management?

What makes DataStax Enterprise ideal for Onboarding?

What benefits does DataStax Enterprise offer for Products & Pricelist Management?

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?

DataStax Enterprise is a Data Management Platform Software mainly used by its customers to Scale Best Practices and Acquire Customers by Engagement Management, Lead Analytics and Helpdesk Management .

What are the top features of DataStax Enterprise?

Ticketing, Personalization and Alerts: popups & Notifications are some of the top features of DataStax Enterprise.

Who uses DataStax Enterprise?

DataStax Enterprise is used by Financial Services, Information Technology And Services and Marketing And Advertising among other industries.

What are DataStax Enterprise alternatives?

Tubular, Digital Pigeon, ELogger and Cerberus FTP Server are popular alternatives for DataStax Enterprise.

Where is DataStax Enterprise located?

DataStax Enterprise is headquartered at Silicon Valley, 3975 Freedom Circle, 4th Floor, Santa Clara, CA 95054, USA.

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
DataStax Enterprise testimonial

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
DataStax Enterprise testimonial

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

Testimonial By Julian Chultarsky
DataStax Enterprise testimonial

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
CUSTOMERS TESTIMONIALS
DataStax Enterprise testimonial

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
DataStax Enterprise testimonial

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

Testimonial By Julian Chultarsky
DataStax Enterprise testimonial

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

SkyPoint - Hospital & Health Care

SkyPoint used DataStax real-time AI to improve senior care. They faced challenges in managing and analyzing large amounts of health data. DataStax helped them use AI to get real-time insights. This m...ade care for seniors faster and more accurate. Staff could make better decisions and improve patient outcomes.

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ACI Worldwide, Inc. - Financial Services

DataStax Enterprise helps ACI Worldwide, Inc. keep its fraud prevention platform running with no downtime. ACI needed a database that could handle big spikes in transactions and fight rising fraud. W...ith DSE, ACI processes payments fast and safely, even during busy seasons. The platform supports real-time analytics and machine learning for better fraud detection. DSE lets ACI scale easily and innovate quickly, saving customers millions and improving fraud detection rates.

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Athena Intelligence - Information Technology And Services

Langflow from DataStax helped Athena Intelligence automate AI workflow deployment. Athena used Langflow to let clients build and change AI workflows without developer help. The team moved from proof ...of concept to production in just 2 weeks. Custom AI workflows now deploy in hours, not days or weeks. Clients can change workflows on their own, making the process faster and more flexible. Langflow also keeps data secure in private cloud and government environments.

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Artera - Technology

Astra DB powers the Artera Art Discovery Platform. Artera lets users upload, curate, and share art collections. Astra DB's vector search and streaming features help users find similar art and get rec...ommendations. Real-time data and precise matching make the platform more engaging. Astra DB has improved the user experience for art discovery.

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Commonstock - Financial Services

DataStax Astra Streaming helped Commonstock, a financial investing social network, handle real-time data for tens of thousands of users. Commonstock needed a reliable messaging solution as they grew ...and found their previous system inefficient. They chose Astra Streaming for its easy scaling, managed Pulsar support, and strong customer service. The platform now powers real-time recommendations and messaging, making the system more reliable and flexible. DataStax support enabled smooth migration and infinite retention, letting Commonstock focus on building their business.

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Concide - Technology

DataStax Astra DB powers Concide's Chat for Legal platform, helping legal professionals analyze documents and search data faster. Concide faced slow, costly infrastructure and needed better data proc...essing for legal workflows. By integrating Astra DB and Azure, Concide doubled search speed and cut costs by 30%. The platform now enables quick document retrieval, semantic search, and efficient data handling, making legal work easier and more productive.

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Collapsing Data Silos with DataStax Enterprise Multi-Model

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lightning

Peers used DataStax Enterprise for engagement management and lead analytics

DataStax Enterprise Competitors

DataStax Enterprise Features

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FEATURE RATINGS AND REVIEWS
AI Powered

4.60/5 ★

Read Reviews (24)
Analytics

4.22/5 ★

Read Reviews (124)
Custom Reports

4.02/5 ★

Read Reviews (163)
CAPABILITIES RATINGS AND REVIEWS
AI Powered

4.60/5 ★

Read Reviews (24)
Analytics

4.22/5 ★

Read Reviews (124)
Custom Reports

4.02/5 ★

Read Reviews (163)

DataStax Enterprise Integrations

DataStax Enterprise integrates with a wide range of software applications through its robust data import and export capabilities.

Data Import

4.21/5 ★

Read Reviews (50)
Data Export

3.75/5 ★

Read Reviews (23)

Reltio

4.38 5
 ★ ★ ★ ★ ★  ☆ ☆ ☆ ☆ ☆

Stitch

4.6 5
 ★ ★ ★ ★ ★  ☆ ☆ ☆ ☆ ☆

Rapidminer

4.53 5
 ★ ★ ★ ★ ★  ☆ ☆ ☆ ☆ ☆

Lumen Next‑Gen Voice solutions

4.0 5
 ★ ★ ★ ★ ★  ☆ ☆ ☆ ☆ ☆

Software Failure Risk Guidance

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for DataStax Enterprise

Overall Risk Meter

Low Medium High

Top Failure Risks for DataStax Enterprise

DataStax, Inc News

Executive
 

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.

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Product
 

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.

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Product
 

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.

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Product
 

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.

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DataStax, Inc Profile

Company Name

DataStax, Inc

Company Website

https://www.datastax.com/

Year Founded

2010

HQ Location

Silicon Valley, 3975 Freedom Circle, 4th Floor, Santa Clara, CA 95054, USA

Employees

251-500

Social

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Financials

SERIES F