Data warehouses were built for static schemas and slow-changing questions. AI breaks both assumptions. Here's why a dynamic federated query layer fits the era.

Learn the difference between data products and datasets, plus a minimum spec for banks and insurers to publish trusted, governed data in a marketplace.

Should you use a data catalog or a data marketplace? Learn how data marketplaces differ from data catalogs and when you need both to govern your data.

Discover how banks and insurance companies can publish trusted data products with shared definitions, access controls, and audit-ready governance.

Embedding a BI capability inside your product can be quite a challenge. We take a look at the top 6 mistakes SaaS teams make while chasing this goal.

Learn how modern SaaS companies can embed customer-facing analytics inside their products—without building complex data infrastructure.

Achieving SOC 2 Type 2 compliance is an important milestone for a B2B company. Read on to learn what this means for Peaka and our users.

Avoid buyer’s remorse with this detailed comparison of top data integration platforms. Learn about their pros, cons, and pricing plans before you commit.

Peaka’s Tableau integration combines innovative data integrations with dazzling data visualization capabilities.

Peaka’s Looker Studio integration allows even non-technical users to turn their data into visualizations without hassle.

With Peaka’s Power BI integration, you can pull in and join data from distributed sources, turn your data into reports, and share it with others.

Peaka’s Apache Superset™ integration allows this platform to pull in and visualize data from a wider range of data sources, including SaaS tools.

With Peaka’s Metabase integration, you can connect Metabase to more data sources, including SaaS tools, and turn your unified data into visualizations.

Peaka’s new connector for Provet Cloud, a vet practice management software, extends this platform to integrate with all data sources at your disposal.

A detailed analysis of post-M&A data migration projects, their challenges, current best practices, and how data virtualization can help simplify them.

A deep dive into data migration in healthcare, challenges involved in data migration projects, and best practices to follow.

Find out about our lessons learned from SaaStock USA 2023 and what you can expect to see from Peaka in this year’s event.

Discover what data migration is used for, the benefits it offers, the challenges involved, along with the most popular data migration methods.

As each company uses a different tech stack, building an integration infrastructure has become a must for businesses. Here’s how you can get started.

Data integration allows you to easily combine various data sources to make informed decisions, improve efficiency, and gain a competitive edge.

To choose the best enterprise data warehouse, consider your requirements. Evaluate the pros and cons of cloud and on-premise deployment.

SaaS gurus think that a Product Hunt launch does not justify the time and effort needed from B2B companies. Here’s why our experience says otherwise.

Try these data replication strategies to make better business decisions. Automatically transfer pertinent information to easily compare and analyze data.

Automated data processing compiles, analyzes, and shares data, making your company more efficient by freeing up your time to handle critical tasks.

Most founders are unaware of the need to establish a pipeline for analyzing and cross-referencing engagement data. We've offered a modern alternative.

Explore the evolution of data integration architecture, from traditional ETL to real-time, event-driven models.

Zero-ETL eliminates time-consuming ETL processes, making data access and analysis easier than ever before.

Explore the best 25+ SaaS BI and analytics tools. Learn how they give you visibility into customer journeys, product usage, and financial performance.

Many founders neglect lean principles while interacting with customers, often focusing too much on customer support. We’ve explored a healthier way.

"Framework” founders often overcomplicate product vision and fail during Pre-PMF. We delved into the fundamentals and proposed an alternative way.

In this article, we listed the benefits of data integration. Visit our website to read and learn more about data integration!

Uncover the secrets of a cutting-edge data infrastructure in our informative blog which answers the question of what is the modern data stack.

Dive into our blog for essential insights on tracking and optimizing key performance indicators for your SaaS business.

Discover proven tactics and innovative approaches to drive lead generation and business growth in our comprehensive B2B inbound marketing strategy blog.

What is a Logical Data Warehouse? Why do we need one? How does it work with technologies like data virtualization and AI? Find out in this blog post.

This guide breaks down the most important SaaS growth metrics for founders, growth teams, and marketers looking to drive sustainable growth.

An evaluation of ChartMogul as a SaaS analytics tool, its strengths and weaknesses, and how it compares to competitors, including Peaka.

A complete guide to SaaS sales KPIs. Learn how to calculate and apply the best metrics and KPIs for your sales pipeline.

SaaS analytics refers to the way SaaS companies track, bring together, and analyze their data to make better decisions. Find out how they can help you.

How do you create an ideal customer profile (ICP)? Why should a SaaS company create one? How does Peaka help you hone your ICP? Find out in this blog post.

Here is everything a SaaS founder needs to know about account-based marketing, how it works, its benefits, and how Peaka can help ABM teams implement it.

A deep dive into SaaS revenue metrics, four data integration tools to track SaaS revenue, and benefits of blending your revenue data with your CRM data.

The first step in account-based marketing is to consolidate and turn your data into metrics. Peaka’s HubSpot-Stripe integration helps you do just that.

Common misconceptions about data integration receive special attention in this blog post. Join Kelly O’Connor as she goes on some myth-busting.

Is zero-ETL the ultimate data integration solution, or does it promise more than it can deliver? Read on to understand zero-ETL and its pros and cons.

What’s the biggest obstacle to implementing self-service data integration? Read on to see how data virtualization can be the breakthrough we need.

What causes data silos? How do they undermine organizations? Are there any novel ways of tackling them? Find out in this blog post.

Forget about data warehouses: Peaka CEO Mustafa Sakalsız explains why data virtualization is the ideal data integration solution for startups and SMBs.

Data warehouses alone are no longer sufficient for modern enterprises. Enter data mesh: A product-oriented, domain-focused, self-serve solution.

What’s the best way of handling data, through ETL or ELT? This blog post takes a look at both methods and their respective strengths and weaknesses.

A long, hard look at what unstructured data is, its potential use cases, and the associated challenges.

Wanna learn what you can do to improve the data quality at your organization? Bruce McFadden shows you the way.

You can spot good data from a mile away because it has distinct qualities. Read on to learn about the six aspects of data quality.

Data management is a significant challenge but it’s nothing new. Join Kelly O'Connor to explore how people organized their data throughout history.