Fivetran vs Oracle Big Data SQL comparison

Fivetran and Oracle are both solutions in the Cloud Data Integration category. Fivetran is ranked #9 with an average rating of 8.7, while Oracle is ranked #30. Fivetran holds a 3.9% mindshare in CDI, compared to Oracle’s 1.2% mindshare. Additionally, 90% of Fivetran users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

Fivetran

Read 29 Fivetran reviews

8,099 Views
2,916 Comparison Views

90% willing to recommend

Oracle Big Data SQL

Read 2 Oracle Big Data SQL reviews

1,116 Views
714 Comparison Views

100% willing to recommend

Fivetran

Oracle Big Data SQL

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 3, 2024

Fivetran and Oracle Big Data SQL are competing in the data integration and processing domain. Fivetran is often preferred for its affordability and simplicity, while Oracle Big Data SQL's robust features justify its higher cost for many users.

Features: Fivetran provides automated data integration, easy connectivity to various data sources, and seamless real-time data syncing, reducing the need for manual work. Oracle Big Data SQL offers powerful data processing capabilities, integrates SQL queries across Oracle and Hadoop environments, and handles complex and scalable data queries efficiently.

Ease of Deployment and Customer Service: Fivetran requires minimal configuration for deployment and offers efficient customer support, making it accessible for smaller teams. Oracle Big Data SQL's deployment is complex but supports enterprise-scale data volumes, providing targeted technical assistance.

Pricing and ROI: Fivetran's pricing is based on data volume, leading to lower setup costs and quick ROI for straightforward solutions. Oracle Big Data SQL requires a higher initial investment, but its extensive capabilities offer justified ROI for enterprises engaging in complex data analysis.

To learn more, read our detailed Fivetran vs. Oracle Big Data SQL Report (Updated: June 2026).

Buyer's Guide

Fivetran vs. Oracle Big Data SQL

June 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Fivetran

Ranking in Cloud Data Integration

9th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (14th), Data Replication (3rd)

Oracle Big Data SQL

Ranking in Cloud Data Integration

30th

Average Rating

8.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the Cloud Data Integration category, the mindshare of Fivetran is 3.9%, down from 5.6% compared to the previous year. The mindshare of Oracle Big Data SQL is 1.2%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
Fivetran	3.9%
Oracle Big Data SQL	1.2%
Other	94.9%

Cloud Data Integration

Featured Reviews

Hafiz Usman

Team Lead Data Engineer at Data Pilot

Has accelerated data integration workflows and supports seamless development of custom connectors

I've worked extensively with Fivetran, mainly used for extraction purposes, and I've worked with the transformation element in it as well. Fivetran not only has built-in connectors but also provides SDK connectors, allowing us to develop our own connectors in an easy manner. I don't have to write raw Python scripts or dumping scripts; it offers straightforward examples and guidelines, making it much simpler to develop custom connectors inside Fivetran. We've been able to develop many custom connectors as well, which is unique and beneficial for having everything centralized instead of having those connectors located elsewhere. One of the best features by Fivetran is its clean, simple, and intuitive UI. It includes a transformation section where I can deploy my DBT queries and scripts. It also supplies good tracking capabilities for billing estimates and user permissions, allowing for customization to the desired level. The number of connectors it has remains a standout feature, and within connectors, the options available are very helpful. Although it sometimes appears static due to its built-in nature, it offers good flexibility for data transformation and caching, which I appreciate because it saves us extensive script-writing time.

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Mohamed Moustafa

General Manager at Quit cement

Offers good scalability, strong stability and seamless integration

The user interface is really user-friendly and intuitive. It was a major plus. The integration process was smooth. Oracle's security is good and significantly better than that of other solutions I've encountered. Previously, we had separate data interfaces for 15 concrete mixing plants, requiring manual document creation in Oracle. Now, with integrated automation, production has become much easier and more efficient over the past three years.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The general data ingestion is valuable. It's used for a lot of data. It provides about 90% of the data we use in our data warehouse without needing data engineering."

"For us, Fivetran has been able to scale both in terms of the data we bring into our warehouse and the amount of data that we use as well."

"SysTrack load is the best feature."

"It is easy for users to get accustomed to the tool due to its gentle learning curve and clear error transparency."

"The most valuable feature of Fivetran so far is the data replication; the real-time data replication is what I see best in the market where it reduces the overhead of customers needing to maintain the pipeline."

"Fivetran's technical support is really good, and if you're on their enterprise plan, they usually respond within an hour and keep you continuously updated on progress."

"It is not like a traditional ETL, but it gives quite a lot of flexibility."

"There's the general feature of the platform where it just makes it very easy to integrate different things, but I would say a specific difference is their integration of DBT,."

More Fivetran pros

"The user interface is really user-friendly and intuitive."

"This solution can maintain a large volume of data and is flexible to what data it can handle. The performance is very good."

Cons

"I would like Fivetran to implement additional resource monitoring and restriction policies."

"HVR Software's technical support could be improved. Whenever we log a case, the response that we get from the support is a bit delayed."

"Fivetran is very expensive for data sources with a lot of rows, such as email data. I would like to see cheaper pricing for data sources like that."

"Fivetran should add more connectors because its competitors, like Airbyte, have more connectors."

"The interface needs to be more user-friendly."

"The connections with SAP must be improved."

"It can get expensive if you're sending a lot of data through Fivetran."

"In our case, we ultimately did not end up using Fivetran because we were able to do custom connects at a lower cost compared to Fivetran. From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option."

More Fivetran cons

"There is room for improvement in the pricing."

"The solution could improve by adding more advanced features."

Pricing and Cost Advice

"I've heard that the license for HVR is a bit costly compared to its competitors, but since it's reliable and efficient, I think the customer shouldn't be bothered about the cost."

"I rate the pricing a six out of ten."

"I don't have the exact information, but I know it is high, and it is on a yearly basis. There is no additional cost for what we're doing. We're always open to doing things cheaper, so we might potentially implement a different solution."

"The product is reasonably expensive"

"The pricing model is okay and mid to large companies will not have an issue with it."

"When you have a lot of workflows and complex use cases, pricing goes down as you use it more."

"Fivetran is very expensive, and its database-driven pricing model is outdated."

"I would say they're a little bit on the expensive side, and their contract process is not particularly good, but there is a lot of potential flexibility."

More Fivetran pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Manufacturing Company

Computer Software Company

Construction Company

21%

Comms Service Provider

18%

Manufacturing Company

11%

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	7
Large Enterprise	16

No data available

Questions from the Community

What's the deal with the HVR software acquisition?

As a user of HVR Software I followed this deal closely. Fivetran is apparently trying to establish more in its sector and by buying an already established data replication software, they become som...

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Does HVR Software provide reliable insights?

I honestly can't think of another data replication software that can give you better statistics and insight than HVR Software. There's the feature for topology and statistics and both of them can ...

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How much traffic can HVR Software handle?

As someone who works at a company where a high volume of information is replicated and has tried several data replication softwares, I can tell you that you're looking at the right one. HVR Softwar...

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Compared 20% of the time

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Compared 11% of the time

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Compared 4% of the time

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Product Reports

Buyer's Guide

Fivetran

August 2026

Download Fivetran product report

Buyer's Guide

Cloud Data Integration

July 2026

Download Oracle Big Data SQL product report

Overview

Fivetran offers a seamless, scalable data integration platform with strong connectors and real-time synchronization. Tailored for managing ETL workflows and integrating with DBT, it appeals to organizations seeking efficient data management.

Fivetran distinguishes itself through its intuitive interface and extensive scalability, allowing businesses to manage entire ETL workflows seamlessly. Its robust connectors ensure smooth integration with multiple data sources, while transparent logging and minimal coding requirements enhance accessibility. With real-time data synchronization, organizations benefit from up-to-date insights for analytics and engineering purposes. While some users point out areas for improvement like better documentation and expanded integration options, Fivetran remains a cherished tool for centralizing data in data warehouses such as supporting change data capture, migrations, and synchronizations from systems like Salesforce, NetSuite, and Google Analytics. Operating within an ELT framework, it empowers businesses to streamline data processes without complex extraction logic.

What are the key features of Fivetran?

Ease of Use: Intuitive platform minimizing setup complexity
Scalability: Adapt to growing data needs efficiently
Powerful Connectors: Seamless integration with diverse data sources
Real-Time Synchronization: Instant data updates supporting timely insights
DBT Integration: Simplifies transformations within ETL workflows
Transparent Logging: Provides clear visibility into operations

Which benefits can users expect in reviews?

Cost-Effective Scalability: Manage increased data without significant financial impact
Minimal Coding: Reduces technical barriers enhancing accessibility
Comprehensive Data Management: Centralizes diverse data streams effectively
Timely Analytics: Real-time updates foster actionable insights
Streamlined Workflow Management: Efficiently handles complex ETL processes

In industry-specific implementation, Fivetran is integral for businesses requiring robust data integration to power analytics. Retailers utilize it to consolidate e-commerce data for sales insights, while finance firms rely on its capabilities to merge financial data for reporting. In the tech sector, it supports engineering teams by providing a reliable data pipeline that fuels app development and performance monitoring.

Fivetran

Oracle Big Data SQL allows integration of SQL capabilities with big data and cloud infrastructure, enhancing data processing and analysis across data sources.

Oracle Big Data SQL supports seamless querying of distributed data systems, providing a comprehensive platform for analyzing structured and unstructured data. Its architecture simplifies access to data stored in Hadoop and NoSQL databases, promoting efficient enterprise data management. Robust analytical capabilities enable users to derive maximum value from their diverse datasets while maintaining performance and security.

What are the key features of Oracle Big Data SQL?

Unified Querying: Facilitates SQL queries across diverse data environments, integrating data from Oracle Databases, Hadoop, and more.
High Performance: Leverages Oracle Exadata Storage to enhance data processing speed and efficiency.
Security Controls: Ensures secure data access and sharing with extensive security frameworks.
Scalability: Supports dynamic workload adjustments, catering to large-scale data processing needs.
Data Analysis: Provides advanced analytics features for deep data insights and decision-making.

What benefits and ROI can users expect?

Cost Efficiency: Reduces the need for data duplication, optimizing resource utilization and lowering costs.
Enhanced Productivity: Increases data accessibility and simplifies workflows, boosting operational efficiency.
Data Integration: Streamlines data integration processes, improving data consistency across platforms.
Security: Offers robust security for data protection and compliance with organizational policies.

Oracle Big Data SQL plays an integral role in industries like finance and healthcare where data security and real-time analytics are crucial. In finance, it supports risk management and fraud detection by delivering quick access to massive datasets. The healthcare industry utilizes it for patient data analysis, which improves treatment accuracy and operational efficiency.

Oracle

Sample Customers

Autodesk, Condé Nast, JetBlue, Morgan Stanley, OpenAI, LVMH, Pfizer, Verizon, SpotifyNational Australia Bank, Saks, Cemex, Okta, Dropbox, Pitney Bowes, World Fuel Services,Lufthansa, AutoZone, ASICS, ASOS, Coupa, Databricks, Hermes, New Relic, Intercom,Canva, Honeywell, Square, DocuSign, Nandos, Oldcastle Infrastructure

Information Not Available

Buyer's Guide

Fivetran vs. Oracle Big Data SQL

June 2026

Free Report: Fivetran vs. Oracle Big Data SQL

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