SQL vs. NoSQL: Database Differences Explained
What is NoSQL, and what does it bring to the table?
From Cloud Revolution to the Democratization of Data
Three thought leaders explore how cloud technology is reshaping data architecture and revolutionizing analytics.
How to Develop a Data-Driven Marketing Culture
Help your team develop the appropriate skills to win in the age of data-driven marketing.
ETL Platform Alternatives: Fivetran vs. Informatica and More
Compare popular data integration tools on cost, security, reliability and number of supported sources.
Announcing Business Critical Fivetran for Snowflake Customers
Address enterprise security requirements with customer-managed keys, AWS PrivateLink and additional compliance certifications.
How to Thrive in Tech and Raise Happy Kids
With the right workplace culture and team support, it’s possible to be ambitious at work and engaged at home.
The Modern Data Stack in 2025
Fivetran CEO George Fraser contemplates how analytics technology is likely to evolve over the next five years.
Seven Benefits of Marketing Analytics
Marketing analytics enables personalization, but what other benefits does it offer — and how relevant are they to your team?
Which Connectors Does Your ETL Tool Need?
Make sure your data integration solution can connect to critical data sources.
Mental Health Awareness Month Spotlight: Nora Gentry
Solution Architect Nora Gentry discusses her career path and approach to emotional well-being.
How to Compare ETL Tools
Use these criteria to choose the best ETL tool for your data integration needs.
Why You Need to Make Your Company "Other-Oriented"
Customer success is much more than a function.
What Is ETL?
How do data integration architectures work, and how are they continuing to evolve?
Fivetran for Databricks: Award-Winning Business Value
We just received our second Databricks award in as many years — recognition that the partnership delivers real business value.
Network Performance and Data Integration
Data integration can easily become non-performant. Learn about some common bottlenecks.
How to Use Measures With One-to-Many Joins
Make sure you don’t duplicate aggregated values when you join tables together.
What Is Fully Managed ELT?
Fully managed ELT allows data integration to be outsourced and automated, saving precious engineering time.
From Months to Days: How Autodesk Reinvented Its Data Ingestion Strategy
By replacing homemade ETL with automated ELT, Autodesk cut its data ingestion process from six months to six days.
Three Must-Haves for Your Modern Retail Data Stack
When retailers invest in a culture of data, they gain the ability to quickly navigate shifting customer priorities.
From "Fluff Metrics" to a 360-Degree Customer View
We use Fivetran ourselves for rapid access to rich, query-ready marketing data — the key to transformative insights.
History Mode for Databases Has Arrived
Our new feature helps you implement Type 2 slowly changing dimensions for your historical database analytics with no coding needed.
Five Things I’ve Learned From Building Analytics Stacks at J.P. Morgan and Fivetran
These data management best practices apply to both large enterprises and fast-growing startups.
Why You Should Attend the Modern Data Stack Conference EMEA
The modern data stack is transforming analytics — discover how business leaders are leveraging it to drive innovation and growth.
Fivetran Launches Support for New Databricks + GCP Offering
Businesses can now use Fivetran with the Lakehouse Platform on Google Cloud.
Fivetran Achieves ISO 27001 Compliance Certification
ISO 27001 certification provides a standardized confirmation for customers regarding security best practices and capabilities.
New Connector: Airtable
Bring disparate spreadsheets into your centralized analytics destination.
How to Avoid ELT and ETL Pitfalls
Don't make costly mistakes as your business strives to make better use of data.
New Connector: SAP Concur
Use our new SAP Concur integration for reliable, easy-to-use ELT for your financial analytics.
Fivetran Expands “Powered by” Service to Fuel Data Products
New capabilities, including a custom-branded OEM option, enable product teams to blend data integration into their apps.
Data Orchestration Explained – and Why You Shouldn't DIY
Data pipeline orchestration is traditionally engineering-heavy, but a modern data stack can free your engineers for higher-value projects.
Orchestrating ELT in Airflow: Announcing the Fivetran Airflow Provider
A new Python package from Fivetran and Astronomer enables connector management in Airflow.
How We Built the Most Reliable Data Pipeline Ever
From five-engineer startup to 200-engineer unicorn, we’ve remained focused on one goal: making business data as accessible as electricity.
Why Your Data Integration Solution Needs Automated Data Connectors
Custom code to connect with data APIs is quickly becoming a thing of the past.
Fivetran Joins Asana Partners
Becoming an official Asana Technology Partner unlocks value for joint customers.
Fivetran vs. Supermetrics
Trying to integrate your marketing data sources? Here are the fundamental differences between Fivetran and Supermetrics.
Understanding Enterprise Customer Engagement With the Modern Data Stack
Companies with B2B and B2C channels face complex management challenges that a modern data stack can solve.
How to Use Data Observability as a Strategic Advantage
Optoro’s platform finds returned items a new home. Here’s how its engineering team keeps mission-critical data flowing.
Are You Ready to Hire Data Scientists?
Data scientists can drive innovation and growth, but you need to put the right foundation in place to fully unlock their value.
To Become Data-Driven, Align Talent, Tools and Processes
Use these five strategies to align key resources and ensure that insights guide your decision-making.
The People Difference: The Teams Behind Our Customers' Success
Our obsessive focus on customer success is at the heart of everything we do.
Fivetran Adds Staff and Cloud Region in Singapore
We’re continuing to deepen our product offering and improve customer support in the Asia-Pacific region.
Reverse ETL: Making the Data Warehouse Actionable
Reverse ETL is an emerging piece of the modern data stack that enables you to productionize your analytics.
New Connector: Splunk
Our new Splunk integration enables your team to monitor and investigate your infrastructure data.
Why ELT Will Disrupt ETL
ETL, long a mainstay of data integration, is labor-intensive, brittle, complex — and ripe to be supplanted by ELT.
Driving Trust and Enhancing Value With a Modern DataOps Process
By centralizing processes and reimagining the role of its analysts, Calix’s data team found that it could deliver more value faster.
The Ultimate Guide to Data Integration
This guide is a one-stop introduction to data integration. Learn how to make data-driven decisions a reality for your organization!
Five Strategies for Building Error-Free Data Pipelines
We take data integrity seriously so your business doesn’t pay the price.
Fivetran Announces New Integration With Sage Intacct
Leverage accounting and finance data in your centralized warehouse to refine spend strategy.
Women’s History Month Spotlight: Alexa Maturana-Lowe
In honor of Women’s History Month, we’re publishing weekly interviews with four outstanding Fivetran women.
The Evolution of Data Engineering
As cloud-based tools increasingly handle the grunt work of ETL, data engineers can start thinking bigger.
New Connector: Adobe Analytics Data Feed
Start generating website engagement insights with our new Adobe Analytics Data Feed integration.
The Dangers of DIY Database Replication
Database replication for database analytics involves many serious difficulties.
Fivetran Enhances AWS Support
With key new integrations, Fivetran continues to help companies gain visibility into their AWS environment.
Fivetran Supports Customer 360 Projects With New Heap Integration
Our new integration will help you optimize your product analytics.
Women’s History Month Spotlight: Ciara Roca
In honor of Women’s History Month, we’re publishing weekly interviews with four outstanding Fivetran women.
New Connectors: Delighted & SurveyMonkey
Fivetran improves support for customer analytics with Delighted and SurveyMonkey integrations.
Scaling Data Culture Is a Marathon, Not a Sprint
Engineers: Follow these three steps to advance your company’s data-driven culture.
Process Isolation in Data Pipelines
Process isolation is an important pillar of software engineering that can keep your data pipelines (and you) out of trouble.
The Importance of Database Analytics
Use database connectors to uncover insights about your operations.
The Business Case for Ditching Your Data Lake
Cloud-based data warehouses offer unlimited scalability with the best features of both traditional data warehouses and data lakes.
Women’s History Month Spotlight: Veronica Zhai
In honor of Women’s History Month, we’re celebrating outstanding Fivetran women.
New Connector: Zendesk Sunshine
Centralize your CRM data and perfect your customer experience.
Why Data Teams Should Care About Operational Analytics
The rise of operational analytics will create new roles and opportunities for data teams.
Modern Infrastructure Helps Data Engineers Deliver Maximum Value
In a new survey, data engineers say they’re capable of delivering more business value — but outdated processes hold them back.
Four Database Integration Use Cases
Our customers share why they chose Fivetran to replicate their database data and how their analytics have improved as a result.
International Women’s Day Spotlight: Kiran Sharma
In honor of International Women’s Day and Women’s History Month, we’re celebrating outstanding Fivetran women, starting with our teammate Kiran.
When to Use Debezium for Database Replication
If you’re looking for reliable data integration, you may have heard of Debezium, a rising open-source software solution.
Aggregate Ad Data With Our New dbt Package
The latest Fivetran dbt package rolls up ad spend, clicks and impressions for Facebook, Google, Twitter, LinkedIn and more.
The Enterprise’s Journey to the Modern Data Stack
In the cloud era, enterprises need data-driven insights instantly, but legacy analytics can’t deliver that kind of speed.
Fivetran vs. Attunity (Qlik Replicate)
If you’re looking for an alternative to your legacy ETL database software for your cloud migration and ongoing replication, read on to learn more about key considerations.
Slowly Changing Dimensions in Data Science
Avoiding a common pitfall in data science by enabling history mode.
Building Efficient Data Pipelines With Incremental Updates
Sync data incrementally, or watch your pipeline grind to a halt.
Fivetran Doubles Revenue and Customers in 2020
A watershed year brought continued rapid growth, major engineering advances, and partner awards from Google, AWS and Snowflake.
Marketing Analytics: Why You Need a Modern Data Warehouse
A cloud-based data warehouse is your shortcut to superior marketing analytics and a 360-degree view of your customers.
Black History Month Fivetranner Spotlight: Samuel Dawit
Meet our teammate, Samuel, in this week’s Black History Month Spotlight.
2021 BI Trends and Predictions
From the rise of real data to the death of the dashboard, we pull out our crystal ball and predict the most impactful BI trends for 2021.
Orchestrating ELT in Airflow: Scheduling vs. Orchestrating
Here are the key factors to consider when evaluating an external scheduler for Fivetran data syncs.
Fivetran Partners With Census to Close the Loop on Operational Analytics
The partnership will simplify end-to-end integration, improving operational efficiency and increasing revenue for our customers.
Black History Month Fivetranner Spotlight: Marnae Cooper
Meet our teammate, Marnae, in this week’s Black History Month Spotlight.
Black History Month Fivetranner Spotlight: Joseph Long
Meet our teammate, Joseph, in this week’s Black History Month Spotlight.
Why Your Customer Data Platform (CDP) Should Be the Data Warehouse
Off-the-shelf customer data platforms have serious shortcomings. Consider data warehouses instead.
Five Tips to Build a Successful Analytics Dashboard
Keep the bigger picture in mind as you build and use your analytics dashboards.
When to Build a Modern Data Stack
How can you tell when your organization needs to start building a modern data stack?
Black History Month Fivetranner Spotlight: Rahel Abreham
Meet our teammate, Rahel, in this week’s Black History Month Spotlight.
Don’t Try This at Home: Building an Idempotent Data Pipeline
Learn about the technical challenges involved in building an idempotent data pipeline.
Idempotence and How It Failure-Proofs Your Data Pipeline
Learn how idempotence protects you from the worst consequences of data integration failures.
Fivetran Expands Enterprise Data Integration
We now support more popular enterprise data sources, including IBM Db2, Oracle RAC and SAP HANA.
How to Talk to Your CMO About Data Analytics
Minimize human error, combine disparate marketing data and have a true conversation about marketing campaign effectiveness.
Why Growth Marketers Need Marketing Analytics Automation
Centralize all your company’s growth marketing channels’ data into one place for easy analysis.
A Modern Data Stack Improves Analytics in Seven Key Ways
Real-world success stories illustrate the benefits of a modern data stack, from lower engineering costs to greater data literacy.
How the Modern Data Stack Enables Data Teams of One
A cloud-native data stack frees up Clari’s one-man analytics team to drive data innovation and revenue.
Improving Data Analytics: Three Essential Steps
Harnessing data to drive business decisions is a key competitive advantage. For next-level analytics, follow these three principles.
Improving Analytics by Using a Modern Data Stack
A cloud-native data stack equips a construction company with better business intelligence to guide planning and decision-making.
Data Visualization: Three Best Practices
Bring life to your data visualizations and dashboards to create compelling, crowd-pleasing presentations that your managers will love.
Why Should DTC Brands Care About Data Integration Anyways?
Read on to learn how direct-to-consumer companies can leverage a modern data stack
Increase Data Team Efficiency With a Modern Data Stack
For high-growth companies, building a focused, priority-driven analytics team is mission-critical.
Announcing New Data Processing Centres: Canada and the U.K.
We’re committed to helping you comply with data localisation requirements wherever you operate.
Start for free
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