Software Alternatives & Reviews
Register | Login

DataStax VS IBM Hybrid data management

Compare DataStax VS IBM Hybrid data management and see what are their differences

TramaTM
Protect your brand. Register your trademark. Free verification. Simple online process. Transparent price. Money back guarantee. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

DataStax logo DataStax

DataStax delivers a scalable, flexible and continuously available big data platform built on Apache Cassandra.

IBM Hybrid data management logo IBM Hybrid data management

IBM Hybrid data management offers the complete set of AI-enabled solutions that ensures the organizations collect data of any type, source, and structure to make it simple and accessible across multiple vendors, deployments, and workloads.
  • DataStax Landing page
    Landing page //
    2023-09-12
  • IBM Hybrid data management Landing page
    Landing page //
    2023-05-19

DataStax videos

+ Add

DataStax Jobs Review - DataStax Introduction

More videos:

  • Review - "What is DataStax?" In Under 1 Minute | DataStax at AWS re:Invent 2018
  • Review - When Rotten Tomatoes Isn’t Enough: Analyzing Twitter Movie Reviews Using DataStax... - Amanda Moran

IBM Hybrid data management videos

No IBM Hybrid data management videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to DataStax and IBM Hybrid data management)

DataStax

IBM Hybrid data management

Business & Commerce
67 67%
Business & Commerce
33% 33
Graph Databases
100 100%
Graph Databases
0% 0
Cloud Storage
0 0%
Cloud Storage
100% 100
Product Information Management
57 57%
Product Information Management
43% 43

User comments

Share your experience with using DataStax and IBM Hybrid data management. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, DataStax seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

DataStax mentions (1)

  • Vector Search is Eating the Web
    When it comes to building one's own RAG applications, DataStax's Astra seems to be the preferred database solution for deploying RAG applications, thanks to its robust API and integrations that facilitate the development of high-performance RAG applications. Astra DB's architecture supports the high demands of RAG by providing low latency and high relevancy in data retrieval, which are pretty important for the... - Source: dev.to / 6 days ago

IBM Hybrid data management mentions (0)

We have not tracked any mentions of IBM Hybrid data management yet. Tracking of IBM Hybrid data management recommendations started around Aug 2021.

What are some alternatives?

When comparing DataStax and IBM Hybrid data management, you can also consider the following products

Ataccama - We deliver Self-Driving Data Management & Governance with Ataccama ONE. It’s a fully integrated yet modular platform for any data, user, domain, or deployment.

Dell EMC DataIQ - Dell EMC DataIQ is one of the unique storage monitoring and dataset management software for unstructured data that allows a unified file system of PowerScale, ECS, and delivers unique insights into data usage and storage system health.

1010Data - 1010data provides cloud-based big data analytics for retail, manufacturing, telecom and financial services enterprises.

Hitachi Vantara - Hitachi Vantara is one of the highly recommended & cost-effective paths for your organization while performing data storage and analytics, DataOps, cloud applications, and others.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Druva - Druva is a converged data protection solution offering data center class availability and governance for the mobile workforce.

Loading...