Company Overview

About DataStax

DataStax Details

Founded

2010

Revenue

$170M

Funding

$340M

Team Size

710

What SIA Thinks

DataStax makes it easier to manage and use your data in the cloud. Think of it as a reliable data partner that helps your software applications run smoothly, whether you're handling large amounts of data or just need quick responses from your services. Our main goal is to ensure that your data's always available, even if things go wrong.

What sets DataStax apart is its strong foundation in Apache Cassandra, a powerful database technology known for handling lots of data spread out over many servers. This means you get performance and reliability that you can count on, regardless of how big or busy your application gets.

But it’s not just about keeping the data accessible. DataStax offers tools that make it easier to build and maintain applications, enabling you to focus more on innovation and less on database management. We provide a fully managed cloud service, which takes the complexity out of running databases, so your team doesn’t have to worry about the behind-the-scenes work.

What's more, DataStax supports real-time data handling, so your applications respond quickly to user actions. This can be particularly important for things like online shopping, social media, and any service where user experience matters.

Additionally, we make sure our product works well with the tools your developers already use. Integration with popular development environments keeps things simple and lets your team get up and running quickly.

DataStax also prioritizes keeping your information safe and secure. We ensure that the data is protected while being stored and when it’s being sent over the internet.

In short, DataStax aims to simplify building and running fast, reliable applications that manage lots of data, making it a solid choice for growing SaaS companies.

Metrics History

7/22 - 4/24

Trending up by 5.2% this month
Showing teamSize history

Pros and Cons

Pros

  • Scalable
  • Robust security
  • Fault tolerance
  • Good support
  • Scalable database
  • Reliable
  • Cloud options
  • Fast performance
  • User-friendly
  • Flexible queries

Cons

  • Learning curve
  • Complex setup
  • Limited support
  • Complex setup
  • High cost
  • Steep learning curve
  • Limited features
  • Integration issues
  • Expensive
  • Hardware intensive

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