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$100 Million ARR Pivot: From Platform Product to Vertical Apps With Treasure Data CEO Kazuki Ohta (Podcast #506 and Video)

SaaStr

At $5 million ARR, the positioning shifted to a “big data-as-a-service” platform. The product grew more mature, with three main functions: data collection, data warehouse, and data analysis. . Commoditization From AWS & Google Cloud. The platform innovations slowed temporarily, which drove churn higher.

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Cloud Data Lakes - The Keystone to the Decade of Data

Tom Tunguz

Cloud Data Lakes are the future of large scale data analysis , and the more than 5000 registrants to the first conference substantiate this massive wave. Mai-Lan Tomsen Bukovec, Global Vice President for AWS Storage will deliver one of the keynotes. Data engines query the data rapidly, inexpensively.

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Top 10 Trends for Data in 2024

Tom Tunguz

First, they have driven an increased demand for data and are causing a complete architecture inside companies. Second, they change the way that we manipulate data. Analysts will use automated data analysis, and it will be an expected tool in every product : notebooks, BI, databases, etc.

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Top LLMs in 2025: Best Large Language Models for AI, SaaS & Development

How To Buy Saas

Pro Google DeepMind Not Public 1M tokens Multimodal, long-context, efficient (MoE) Long-doc analysis, video/audio integration API via Google Cloud Commercial Claude 4 Opus Anthropic Not Public 200K+ tokens (1M Enterprise) Code generation, safety, factual accuracy Coding, enterprise chatbots, legal use cases API via Anthropic Commercial LLaMA 3.1

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Data Scientist Job Description and Templates

User Pilot

Businesses need data scientists to make sense of it all and turn it into actionable insights. Data scientist’s main responsibilities The three responsibility pillars of a data scientist encompass Data Acquisition and Engineering, Data Analysis and Modeling, and Communication and Collaboration.

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Best Applicant Tracking Systems for 2025

How To Buy Saas

Cloud ATS are ideal for most businesses due to their convenience and continuous innovation by vendors. These were more common historically for large enterprises with strict data control needs. Frequent Innovation: SmartRecruiters is known to roll out new features and improvements regularly.

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IaaS PaaS SaaS: Mastering The 3 Different Cloud Service Models

How To Buy Saas

Manage Big Data Analysis: IaaS provides a suitable environment to manage large workloads and can process and analyze big data. Examples of IaaS Cloud Providers Amazon Web Services (AWS) Google Cloud Provider (GCP) IBM Cloud Microsoft Azure PaaS Taking a step ahead from IaaS, let us introduce you to PaaS or Platform-as-a-support.