CXOToday has engaged in an exclusive interview with Shiv, Founder and CEO, of ChistaDATA
Question 1:Could you provide an overview of ChistaDATA’s core services and how they cater to the needs of your clients?
Real-time analytics have become critical in most industries and fields, providing immediate insight into rapidly changing data. They play a crucial role in fraud detection by identifying unusual transactions as they happen within the financial services industry. They can be used to track customer behaviour on websites or in stores. Also, to track inventories and make supply chains efficient in retail/consumer goods industries. Real-time analytics can be used to monitor the millions of IoT sensors on a shop floor or on a driverless car and make instant decisions that can be life-saving.
ChistaDATA is a full-stack real time analytics provider, based on the ClickHouse platform. Our expertise lies in delivering performance and scalability at extremely low cost of ownership through deep expertise in enterprise-class consultative support and managed services. Our platform is fully autonomous in that it frees clients from any resource related constraints.
Question 2:What inspired the establishment of ChistaDATA, and what are the primary mission and objectives that drive your company’s efforts in the data analytics industry?
We are seeing significant challenges for Organizations to monetize data, which is primarily from real time analytics. The cost/performance issues are related to ‘how’ one uses the data rather than only ‘how much data’.
These are:
- Data Variety: Managing and processing diverse data types and sources are often challenging.
- Latency: The delay in data processing can be a major setback in real-time analytics.
- Volume of Data: With the increasing amount of data generated every second, it becomes a challenge to process and analyse this data in real-time.
- Scalability: Scaling the analytics solution to accommodate growing data without compromising performance.
- Complexity of Queries: Handling complex queries (which are typically used to make decisions) efficiently in real-time is a significant challenge.
- Data Security: Ensuring data security while allowing real-time access is a crucial challenge.
- Cost: Implementing and maintaining real time Data infrastructure is extremely costly on proprietary platforms or even the cloud
ChistaDATA was established with a vision to help clients solve all of the above challenges and we have a product/Cloud platform which caters to this. Our Mission is to build (and keep improving) the world’s most significant, fastest, and fully autonomous Real-Time Analytics infrastructure on ClickHouse, both in cloud and on-premises environments. We are on a mission to revolutionise the data management industry and provide unparalleled cost/performance metrics to our clients.
Question 3:As a leader in the data analytics sector, what is your perspective on the current state of the industry, and how do you see it evolving in the coming years?
The only way to describe the absolute necessity and evolution of Data/Data management and Data platforms is the explosion of AI and Large language models. Hence for AI to be effective, Data analytics and the platform needs to evolve which helps to deliver significant performance at optimal cost. The open source community has always proven to be the source of innovation and we believe the adoption will significantly increase thereby disrupting the legacy platforms.
Question 4:Could you share some of the significant challenges ChistaDATA has encountered during its operations and how you’ve addressed them?
Some of the key challenges we have faced and solved are as follows:
Customer adoption: While this is still in the early stages, we help clients adopt our platform by taking some of their top Data challenges and doing a proof of concept. 100% of our clients have adopted post seeing the benefits.
Headaches of moving to a new platform: While we believe that the results/benefits are more than enough for clients to migrate, we also do not want some of the expensive investments already made by the clients to be lost. Hence, we have a very robust integration/connectors to their legacy systems, which help in extremely fast set up and easy migration. It also leans down the legacy systems for better cost/performance.
Skill/talent: This is a significant challenge which we have overcome by making our whole Cloud platform extremely self-healing and autonomous.
Question 5:Looking ahead, what are your key growth plans and objectives for ChistaDATA in the next 12 months, and how do you envision further contributing to the data analytics industry’s development?
As mentioned above, we want to democratise the access to the best data platforms for all businesses. So, all our future plans are to increase even more automation, have a foundation wherein AI models can be easily adopted and build significantly more features and tooling on our cloud platform.
