A Focused Approach: Why Being Best-in-Class Beats All-in-One

With recent shifts in the product analytics landscape, Kubit stands apart as the only warehouse-native solution that remains independent of any specific use case or integration partner. While some competitors are being acquired by larger platforms and shifting their focus to MarTech, Kubit continues to focus on delivering clear, accurate data insights directly from the customer’s cloud data warehouse. Instead of getting distracted by expanding into other fields, Kubit stays committed to its core mission: providing data transparency and control to help businesses democratize analytics and make smarter, faster decisions.

Why Focusing on a Data Visibility Solution Matters

The traditional method of moving data into third-party data silos and analytics tools (via ETL processes or SDK) has several drawbacks, and Kubit’s focused approach directly addresses these issues:

 

    • Scaling and resource constraints: As data requests increase, traditional platforms struggle to scale efficiently, often leaving teams waiting for insights.

    • Errors and confidence: Moving data to third-party tools introduces risks of inaccuracies, diminishing trust in the analytics provided.

    • Inefficiencies: Teams often waste time fixing issues introduced by complex integration processes.

    • Security concerns: Transferring sensitive data to external systems adds potential security vulnerabilities.

Kubit solves these problems by keeping everything within the customer’s chosen data warehouse. Our platform integrates directly with the source, avoiding the need to move data into multiple systems. This focus on data visibility, without unnecessary complexity, ensures that our users can trust their data—every time.

Speed and Agility

Large, one-size-fits-all platforms often suffer from long development cycles due to their complex roadmaps, which try to satisfy various customer needs across different industries. At Kubit, our focus allows us to be agile and responsive to customer requests. Rather than waiting years for features that are deprioritized in favor of more generalized tools, Kubit delivers quick, impactful updates that directly address the challenges facing data organizations today.

 

    • Faster implementation: Our platform has seamless No-Code integration, allowing customers to gain insights within 10 days.

    • Continuous innovation: We rapidly introduce new features weekly based on customer feedback, maintaining a competitive edge.

Staying Warehouse Independent

One of Kubit’s greatest strengths is our warehouse independence. While we partner with all major data platforms like Snowflake, BigQuery, Databricks, Redshift and ClickHouse, we remain agnostic, ensuring customers are not locked into any single ecosystem. This flexibility allows data teams to use the infrastructure that best suits their needs, without sacrificing performance or control.

Kubit Partner Data Warehouse Graphic

By remaining warehouse-independent, Kubit enables customers to keep control of their data infrastructure while maximizing the value of their analytics.

Why Best-in-Class Beats All-in-One

All-in-one platforms often promise the world, but their focus is spread too thin. The favoritism of one specific set of data over another completely misses the point of data insights from a central warehouse. This skew in focus results in bloated systems full of features that most users don’t need. In contrast, Kubit’s best-in-class approach is laser-focused on solving real problems for data teams. Whether it’s providing product analytics, executive dashboards, or improving decision-making through data democratization, our mission is clear. Kubit is focused on being the best at what we do, providing superior data visibility and analytics solutions to every team throughout an organization.

Conclusion: Simplicity Drives Success

As the data analytics industry continues to evolve, it’s clear that simplicity and specialization are the keys to success. Kubit’s warehouse-native approach empowers data teams to maintain control of their data without the overhead or complexity of large, all-in-one platforms. By staying focused on data transparency and flexibility, Kubit delivers faster, more reliable insights, helping businesses make better decisions.

Recent events only validate our approach, and we’re excited to continue leading the charge in warehouse-native analytics, putting data visibility and customer needs at the forefront.

ClickHouse Architecture: A Kubit Companion Guide

ClickHouse and Kubit are a match made in data heaven. Together, they form a powerful combination that enables fast, efficient, and scalable analytics for modern businesses. In this guide, we’ll explore how ClickHouse’s architecture works seamlessly with Kubit’s customer analytics platform, enabling you to leverage the full potential of your data.

ClickHouse Architecture Overview

ClickHouse is a columnar database management system (DBMS) designed for online analytical processing (OLAP). Its architecture is optimized for handling large-scale data queries, making it ideal for big-data applications.

Some key features of ClickHouse’s database architecture include:

  • Columnar data storage for faster query processing
  • Parallel execution for scalability and speed
  • Compression techniques that reduce storage costs

These features ensure that Kubit’s analytics platform performs at top speed, handling complex queries with ease.

ClickHouse Architecture Overview Graphic

How to Optimize Your ClickHouse Queries

To get the best performance from ClickHouse, especially when integrated with Kubit, it’s crucial to understand ClickHouse internals. This deep understanding allows you to optimize query performance by focusing on:

  • Using partitioning to break down large datasets for faster query response.
  • Optimizing index usage to narrow down the search space for queries.
  • Batch inserting data to avoid frequent minor updates that may slow down performance.

At Kubit, we leverage these techniques to ensure your data queries are fast and cost-efficient.

Benefits of ClickHouse’s Architecture

The architecture of ClickHouse makes it an ideal solution for businesses that require high-performance product analytics, such as those powered by Kubit. Its scalability allows it to handle millions of rows of data without compromising performance, ensuring seamless operations even at large data volumes. The system’s efficiency shines through with parallel query processing, delivering near-instant results for complex data sets. Additionally, the columnar storage format offers flexibility, giving businesses greater control over how their data is queried and analyzed to gain actionable insights.

Benefits of ClickHouse’s Architecture Graphic

These features help large-scale organizations democratize data, making it accessible to more teams across the business. 

ClickHouse Use Cases

ClickHouse is the go-to solution for organizations that handle data from millions of users, particularly in consumer applications and high-volume SaaS products. Its performance is crucial for industries such as e-commerce and media, where businesses rely on real-time data to track customer behavior, and when capturing content performance and audience engagement is critical to driving user retention and growth. 

SaaS companies use it to monitor product usage and engagement metrics at scale. Kubit leverages this power for both product and customer analytics, delivering fast, actionable insights that can be easily visualized in executive dashboards. This makes it the ideal platform for businesses looking to turn massive data streams into clear, strategic decision-making tools.

How to Get Started with ClickHouse

To begin utilizing ClickHouse with Kubit, simply integrate ClickHouse as your backend database for analytics. Kubit’s platform is designed to integrate with ClickHouse, allowing you to seamlessly:

  • Connect your data sources quickly
  • Access fast, real-time analytics
  • Optimize query performance for large datasets

With Kubit’s streamlined setup and expert customer success team, you’ll unlock ClickHouse’s full potential, effortlessly optimizing performance and scalability. Complex datasets become actionable, giving teams across your organization visibility into critical insights. This visibility allows for data-driven decisions and business improvements, empowering more of your team to operate effectively and align on strategic goals.

FAQs

What is ClickHouse?

ClickHouse is a columnar DBMS designed for fast query processing of large datasets in OLAP scenarios.

Which engine does ClickHouse use?

ClickHouse uses a MergeTree engine, allowing partitioning, indexing, and replication.

What language does ClickHouse use?

ClickHouse uses SQL as its query language, making it accessible to most data engineers.

What is a DBMS?

A DBMS (Database Management System) is software used to store, retrieve, and manage data.

Impressions of a First Timer at Data + AI Summit by Databricks 2024

Relatively new to the data and analytics market, I was excited and intrigued to meet up with colleagues, partners, and customers at the Data + AI Summit in San Francisco from June 11-13. I work as Director of Product Marketing for Kubit, a disruptor in the product analytics market segment and an ISV technology partner of Databricks. This was my first time at the conference, so I documented my impressions of the experience.

Kubit at Databricks Data AI Summit 2024

Worth noting off the bat, was Databricks’ ‘cool factor.’ Compared to my last 10 years in enterprise automation software, it was a refreshing change. The expo hall featured an Inclusion Center, pickleball court, and water bottle personalization table. The visual branding was bold, and the soundtrack, edgy and hip.

The physical size of the conference was impressive, not just to me but to any ‘brickster’ with any tenure. According to a Financial Services account rep I met in line at a coffee shop, the ‘data intelligence’ platform provider has grown from 700 employees just 5 years ago to more than 8,000 today. The event boasted over 500 sessions, tens of thousands of attendees, 146 sponsors, and four full days of programming.

Databricks’ co-founder and CEO, Ali Ghodsi, quantified the company’s growth further during the first day keynote, claiming that the Summit is the largest data and AI gathering in the world with 60,000 watching online and 16,000 in attendance. The event expanded into the entire Moscone Center this year, creating a buzz that spawned throughout San Francisco elevated by the company’s first day announcement that it is open sourcing its Unity Catalog, its recent acquisition of Tabular and the integration of last year’s acquisition of Mosaic which has fueled its preparedness for GenAI/LLM – THE topic in virtually every room.

According to Ghodsi, every company wants to be a data and AI company, but companies are challenged with realizing that goal. Here are a few of those top challenges and how I see Kubit is poised with Databricks to help our joint customers move in the right direction with those challenges. 

The data state is fragmented 

Perhaps the number one challenge acknowledged by Ghodsi is the fragmentation of the data state. Most enterprises maintain so many pieces of software, data and technology leaders don’t even know what they have. CDOs, in fact, often identify data fragmentation as their top challenge. In a fragmented environment, incomplete, overlapping data sets are rampant. Data silos and complexity pose a significant barrier to AI projects. Data integrity is essential for GenAI in transforming businesses. Without it models are inaccurate and potentially harmful to the company. Fragmentation can degrade even further as AI platforms are adopted. 

“Stop giving your data to vendors,” advised Ghodsi, “own your own data.” These mantras are synonymous to Kubit’s fundamental approach to analytics. Our Databricks-native platform leverages an organization’s existing Lakehouse investment, so there is no need to move or replicate data. With Kubit, data never needs to leave the Lakehouse so a single source of truth can be realized and gen AI initiatives can be truly effective.

GenAI initiatives are not yet in production

Despite the high interest and budgetary support behind it, a whopping 85% of enterprise GenAI initiatives have not made it to production. Many companies are still learning how to move from excitement to successful implementation while others still struggle with GenAI adoption because they are still learning to integrate traditional AI tools into their operations.

GenAI’s complexity and specific use cases make it difficult to find viable business applications that are worth the investment. Additionally, the long-term effects and costs associated with GenAI, as well as potential regulatory impacts, are still unknown. Deciding which GenAI use cases will provide tangible business benefits is crucial but challenging. Unrealistic expectations regarding timelines, costs, and potential value can further hinder the successful adoption of GenAI projects.

No matter what you do with AI, whether still in testing mode, or in production with actual use cases like chatbots or checkout flows, organizational leaders will need to measure the impact of it and gather data. Analyzing that data is challenging but I’m very excited at the prospect of Kubit leading that charge and in effect, increasing companies’ efficacy of AI investments. 

Security and privacy of AI

Ensuring data security is crucial for deploying dependable GenAI solutions and a top obstacle for GenAI project leaders to overcome. Even more, trusted data is vital for instilling confidence in GenAI.

Security and compliance are essential aspects of Kubit’s business. Since our platform seamlessly integrates with the Databricks Lakehouse, it provides users immediate access to real-time data without the need for data duplication. This eliminates data silos and provides customers with security and governance gained by realizing a single source of truth.

Databricks partnership perspective

The following days of the Summit were rewarding in many ways and much of it expanded on how to realize the promise of unprecedented possibilities for data and AI, yet the top highlight for my colleagues and me, was Kubit’s participation on the Startup Forum.

Kubit was asked to share our best practices on how best to scale and work with Databricks. Led by Databricks’ new Global Leader of Startup and Venture Program, Steve Sobel, executives from four leading startups including our own VP of GTM, Shepperd Power, explored the benefits, strategies and lessons learned from building the next generation of data and AI applications with Databricks.

When asked about how Databricks was targeted as a technology partner, panelist Scott Love, CEO of Lovelytics and this year’s Innovation and CME partner of the year, replied “We are hyper-focused on one technology and recognized that Databricks was faster, cheaper and had better functionality than legacy technologies. So, when our customers asked for a forward-looking strategy, we were sold on Databricks as our center of expertise for our services.”

“We are aligned on the value that we bring to the customer – TCO, data integrity, single source of truth, transparency,” added Kubit’s Shepperd Power. “At the end of the day, we have to deliver value to the customers together.”

Kubit Builds Product Analytics Platform on Snowflake

LAS VEGAS, June 27, 2023 /PRNewswire/ — Kubit, a product analytics company, today announced at Snowflake’s annual user conference, Snowflake Summit 2023, the launch of its Product Analytics Platform, Powered by Snowflake. The new platform will enable customers to take their product analytics to a new level, fully leveraging all the advantages of the Snowflake Data Cloud architecture and speed.

With Kubit, customers are able to utilize the data models they’ve built with the product data that’s already stored in the Snowflake Data Cloud. There’s no data movement or replication, which helps maintain a Single Source of Truth and the high security and governance standards inherent in the Data Cloud. Most importantly, Kubit places no restrictions on the volume and scale of product data that’s ingested and modeled–a key differentiator in a world where enterprises are often ingesting millions, billions, or even trillions of events each day.

Kubit allows you to say goodbye to traditional “blackbox” product analytics workflows, which are often plagued by incomplete events and inaccurate data, and can’t scale with user growth. By building its platform on Snowflake, Kubit enables its customers’ product and data teams to get easy, self-service access to a full customer 360 view–leading to richer exploratory analyses, better-informed insights, and more powerful data-driven decisions.

“Kubit has been instrumental in addressing our unique use cases with an impressive level of flexibility,” according to Firework’s Head of Product for Commerce, Jin Chen. “Kubit’s commitment to adapt their tool to our specific needs has been elevating our productivity and decision-making,” Chen said.

Founded in 2018 by CEO Alex Li, last year Kubit announced that it had raised an $18-million Series A round led by Insight Partners. Kubit is also a Select tier partner in the Snowflake Partner Network program.

Li built Kubit out of his own frustrations with existing product analytics platforms, when he was the CTO at Smule. He was determined to create a solution that offered more control and transparency to end users and that took advantage of the latest developments in cloud technology. Li says he’s particularly proud of how Kubit is helping build bridges between product and data teams, with an extensible platform that makes it easy to extend on initial product insights with SQL, Jupyter, or machine learning.

About Kubit

Kubit is a Product Analytics platform that runs directly on the Snowflake Data Cloud, leveraging your cloud investments and existing data models. For more information, visit www.kubit.ai.

SOURCE Kubit

Giving Customers Complete Data Freedom through Snowflake Data Exchange

We’re incredibly excited to announce that we have joined Snowflake Data Exchange. The partnership will allow all Kubit customers to use SQL to access their raw event data securely and in real-time through Snowflake’s virtual data warehouse. We can now give our customers complete data freedom.

Kubit’s Intelligent Product Analytics helps product people get clear, fast answers about user engagement and retention. We collect, process, and store event data in our multi-tenant data warehouse, which is beyond the reach of our customers due to security and scalability concerns. Such limitations force the customers of SaaS analytics vendors to build complicated data infrastructure. That infrastructure often has to store duplicate copies of the data set, which gives rise to multiple sources of truth. In other words, analytics answers are difficult to come by traditionally.

Why Snowflake?

Snowflake is a cloud data platform that uses a highly scalable virtual data warehouse that is fast, easy, and cost-effective. Snowflake employs ANSI SQL and separates storage from computation to achieve a flexible and efficient on-demand pricing model.

Snowflake Data Exchange allows vendors on the platform to share data publicly or privately. The process is seamless and secure. Kubit customers can access their own raw event data in real-time through SQL interfaces, and they only pay based on their usage. Batch jobs or data integration aren’t required. Any new data entering Kubit will become available immediately, giving customers the ultimate security control.

This integration means that Kubit is no longer running a parallel, third-party data pipeline outside of our customers’ organizations. Instead, we’re now a core part of their data infrastructure. It also means that our customers aren’t bound to Kubit’s services. Not only can developers troubleshoot data issues with real-time data, but data scientists can also now build recommendation systems and machine learning models using the same raw data that powers the analytics. It’s the ultimate Single Source of Truth.

A Bright Future

By joining the Snowflake Data Exchange, we’re adding value propositions to our services and solidifying an already successful partnership. This integration allows Kubit to provide Intelligent Product Analytics to more people who want complete data freedom and fast and easy insights about their products.

Kubit Partners with Segment to Boost Intelligent Product Analytics

Kubit’s Intelligent Product Analytics helps product people get clear, fast answers about user engagement and retention. To gain insights from data, we need accurate, reliable, and scalable event instrumentation and collection pipelines. Segment fulfills those needs masterfully.

We are proud to announce that we have joined the Segment Select partner program. Kubit is now a Destination on Segment. Our customers only need to flip a switch to make their events flow into Kubit’s data warehouse. By deepening our integration with Segment, we are simplifying analytics and diagnostics processes for our customers.

Why Segment?

At this point, there is no reason to introduce yet another client SDK to handle event instrumentation and collection. That would be like reinventing the wheel.

Segment is a mature, stable, and highly scalable data hub that already supports many sources, including mobile, web, and servers. Our customers will benefit from a unified event instrumentation and collection model and will gain significant flexibility and control by decoupling their implementation from any single analytics vendor.

We recommend Segment to customers who are just starting to implement event analytics because Segment will give them independence and freedom from complications if their analytics needs change in the future.

With Segment, our customers can access Identify, Page, Screen, and Track events effortlessly and reliably. These changes make integration easier and significantly reduce lead times, which is a win for all involved. You can find more details about this integration here.

A Bright Future

By joining the Segment Select program, we are adding value propositions to our services and solidifying an already successful partnership. This integration allows Kubit to provide Intelligent Product Analytics to more people who want fast and easy insights about their products.

A partnership between Kubit and Segment helps product people make better, data-driven decisions so they can deliver exceptional products to their customers.