A data extraction tool can help improve the accuracy of data by automating the extraction process and reducing the risk of human error. This can lead to more reliable and consistent data that can be used to make better business decisions.
Moreover, data extraction tools can help you increase productivity and improve the quality of your data as they automate the process of retrieving data from multiple sources.
Here are five things you need to know about data extraction tools:
- Data extraction is the process of retrieving and consolidating data from one or more sources.
- Manually consolidating data is nearly impossible, especially as data sources continue to expand.
- Data extraction tools automate the process of extraction, reducing errors and leading to more consistent data.
- Not all data extraction tools are created equal. Our list features the best tools based on key features and capabilities.
- Integrate.io is a no-code data pipeline platform that streamlines the ETL process (extract, transform, load).
This article will cover the ten best data extraction tools you should start using in 2025 to improve your decision-making process.
- Integrate.io
- Airbyte
- Stitch
- Fivetran
- Hevo Data
- Talend
- Improvado
- Matillion
- Informatica
- SAS Data Management
What Is Data Extraction?
Data extraction is the process of retrieving and consolidating structured or unstructured data from one or more sources. This is the first step of the ETL process and is used to extract data from various sources, such as databases, social media platforms, webpages, CRM tools, and many others.
The extracted data is then transformed into a format that can be used for further analysis and loaded into another system, such as a business intelligence tool or analytics platform.
Why You Need a Data Extraction Tool
It’s nearly impossible to manually consolidate data from multiple sources and transform it into a usable format. That’s why data extraction tools are essential for collecting and manipulating data at scale.
Most businesses rely on ETL tools to automate the data extraction process and create a comprehensive data pipeline, all while ensuring the highest data quality.
What are the Top Data Extraction Tools for Multi-Source Data Integration?
Integrate.io, Talend, and Fivetran are top data extraction tools for multi-source data integration. Integrate.io offers over 200 native connectors to databases, SaaS platforms, cloud storage, and APIs, enabling low-code extraction and transformation before loading into analytics-ready destinations. It supports both batch and real-time pipelines, schema mapping, and secure processing, making it ideal for unifying data from diverse systems. Talend provides advanced ETL customization, while Fivetran offers fully managed connectors for hands-off extraction and syncing.
A great data extraction tool not only extracts data but also transforms and loads it into a target system. Let’s take a look at the ten best data extraction tools you can use to create a complete data pipeline and improve your decision-making process.
1. Integrate.io
When considering the top data extraction tools for multi-source data integration, Integrate.io stands out as a premier choice. Integrate.io provides a complete suite of tools that help businesses unify all data to create a single source of insights. This tool really stands out from the crowd because it's extremely easy to use.
Non-technical users can rely on the drag-and-drop editor and hundreds of built-in connectors to quickly create a data pipeline. Businesses can also use Intergate.io to extract data from in-house tools by leveraging its rich expression language, advanced API, and webhooks.
With the data extraction process started, you can use Integrate.io's low-code transformation to push that data to warehouses, databases, or operational systems. Moreover, you can use the reverse ETL capabilities to push data back from the data warehouse to your in-house tools. This functionality can prove invaluable if your business uses a CRM system, as you'll be able to understand the complete customer journey and improve your marketing and sales operations.
Rating: 4.3/5 (G2)
Key Features
- ETL & Reverse ETL
- ELT & CDC
- No-code/low-code pipeline development
- Hundreds of integrations
Benefits
- Integrate.io can also help ensure your data delivers business value through its data observability features. You can set up to three free alerts based on nine different alert types, which can help you instantly know about any data issues.
- This plan includes unlimited packages, transfers, users, two connectors, and a scheduling cluster. You will also benefit from a 30-day tailored onboarding process to guide you through implementation and 24/7 support via chat, email, or phone.
- With an average first response time of under 2 minutes and an average time to resolution of under 51 minutes, Integrate.io’s support metrics make it one of the best tools in the industry.
Disadvantages
- Pricing may not be suitable for SMBs which are entry-level
Pricing
- Fixed fee, unlimited usage based
2. Airbyte
Airbyte is an open-source platform with advanced ELT data pipeline capabilities. It provides over 300 open-source connectors, which can also be edited to meet specific needs.
The Connector Development Kit makes it easy for users to build their own connectors quickly. That’s why 50% of the connectors have been contributed by the community.
Businesses can use Airbyte to extract data into two formats: a serialized JSON object and the normalized version of the record as tables. Transformations can be customized via SQL and through deep integration with dbt.
Rating: 4.3/5.0 (G2)
Key Features
- ELT
- 300+ pre-built connectors
- Connector Development Kit for building custom connectors
- You can deploy Airbyte for free as it’s an open-source platform. If you decide to go this route, you'll be able to use or create an unlimited number of connectors, replicate your database via the CDC functionality, and access basic monitoring and webhook failure notifications.
Disadvantages
-
High resource usage during large syncs.
-
Limited UI polish; setup can be complex for non-technical users.
-
Some connectors require manual maintenance or custom coding.
-
Inconsistent performance across community-built connectors.
-
Lacks fully managed hosting unless using Airbyte Cloud.
Pricing
- Airbyte also offers a cloud plan that includes everything in the Open Source plan as well as cloud hosting, cloud management, and in-app chat support. Pricing is based on credits, with a single credit starting at $2.50.
3. Stitch
Stitch is a fully managed, lightweight ETL tool that facilitates data extraction from over 130 sources. Compared to other tools on this list, Stitch lacks some important data transformation features as it focuses more on extracting and loading the data.
Nevertheless, this tool is great for small and medium-sized businesses looking to access all their important data from a single place. Stitch can extract data from over 100 SaaS apps and databases and send it to leading cloud data warehouses.
Rating: 4.5/5.0 (G2)
Key Features
- ETL
- 130+ pre-built integrations
- Enterprise-grade security
Benefits
- Its intuitive interface makes it easy for all your data team members to start working with new data sources. Stitch offers enterprise-grade security and complies with SOC 2 and HIPAA. Plus, it features SSH tunneling to secure the whole data pipeline.
Disadvantages
-
Limited transformation capabilities (ETL is mostly ELT-focused).
-
No real-time streaming; syncs are batch-based.
-
Fewer native connectors compared to competitors.
-
Slower support for new connector requests.
-
Pricing can get high for large data volumes.
Pricing
You can get started with Stitch by choosing one of three available pricing plans (Standard, Advanced, or Premium), ranging from $100 to $2,500 per month.
4. Fivetran
Rating: 4.2/5.0 (G2)
Fivetran is an all-in-one ELT platform with over 300 built-in connectors that allow you to rapidly extract data from a variety of different sources and load it into most cloud data warehouses. It’s a great choice for large organizations as it can replicate vast amounts of data from different databases in real time.
Besides the hundreds of pre-built connectors, Fivetran allows you to write your own cloud functions to extract the data from your source. It works with AWS Lambda, Azure Functions, and Google Cloud Functions.
Once Fivetran extracts your data, it will load it into your destination and transform it to complete the data pipeline. You can drastically speed up the data extraction process by leveraging Fivetran’s capabilities to automate:
- Schema drift handling, deduplication, and normalization
- Data transformation, orchestration, and management
- Governance and security
Key Features
- ETL
- 300+ built-in connectors
- Automated schema drift handling and more
Benefits
-
Fully managed and automated connectors with minimal maintenance.
-
Real-time or near-real-time syncs for many sources.
-
Strong reliability and uptime.
-
Automated schema migration handling.
-
Wide connector coverage, including enterprise SaaS and databases.
Disadvantages
One drawback of Fivetran is that it will transform data after it loads it into your data warehouse. This can result in higher operating costs compared to other tools on this list.
Pricing
Fivetran offers a free plan and three paid ones following a usage-based pricing model. The free plan has all features included but is only available for up to 500,000 monthly active rows.
5. Hevo Data
Hevo Data is an end-to-end data pipeline automation platform. It helps businesses extract data from over 150 different sources with its built-in connectors and automated schema management features.
Rating: 4.4/5.0 (G2)
Key Features
- ETL/ELT
- Reverse ETL capabilities
- 150+ integrations
Benefits
- Hevo can run transformations on data before it reaches its destination but also supports post-load data transformations.
- Hevo doesn’t have any security certifications, so if that’s something important for your business, you would be better off with another tool on this list.
Disadvantages
-
Limited advanced transformation capabilities compared to full-featured ETL tools.
-
Primarily batch-based; real-time streaming support is less robust.
-
Smaller connector library than competitors like Fivetran or Integrate.io.
-
Pricing can scale quickly with higher data volumes.
-
Less flexibility for complex, custom integration logic.
Pricing
The cheapest pricing plan goes for $239/month and can process up to 5 million events per month. You also get access to the full list of 150 connectors, on-demand events, free setup assistance, and 24/7 live chat support. Even so, because of its free plan, Hevo is great for small companies looking to create their first data pipeline. Signing up for the free plan will give you access to 50 free connectors, unlimited models, and 24/7 email support, with a hard cap of 1 million events per month.
6. Talend
Talend is a suite of products covering almost everything data-related. Stitch, the data extraction tool we covered earlier, is also part of Talend’s suite.
The other Talend products can be divided into two main categories: open-source and fully managed.
- Open Studio Data Integration: A basic, open-source ETL and data integration platform, great for extracting small amounts of data.
- Open Studio Big Data: A more advanced, open-source version of the previous product.
- Talend Data Fabric: A fully managed ETL/ELT platform hosted by Talend.
Rating: 4.0/5.0 (G2)
Key Features
- ETL/ELT
- CDC
- Over 1,000 connectors
Benefits
-
Comprehensive data integration, ETL, ELT, and data quality features in one platform.
-
Supports a wide range of connectors for databases, cloud services, and enterprise apps.
-
Strong data governance tools, including lineage tracking and compliance support.
-
Flexible deployment options (on-premises, cloud, or hybrid).
-
Open-source edition available for cost-conscious teams.
-
Scalable for large enterprise data workloads.
Disadvantages
-
Steeper learning curve compared to no-code ETL tools.
-
High licensing costs for the enterprise edition.
-
Resource-heavy; can require significant infrastructure for large-scale processing.
-
Complex UI for beginners; less intuitive than modern SaaS ETL tools.
-
Performance can lag with very large datasets if not optimized.
Pricing
The open-source products are, of course, free to use. However, other solutions are priced based on various factors. It’s important to note that Talend can get really expensive rather quickly, so keep that in mind if you decide to get an initial quote.
7. Improvado
Improvado is an ETL tool focused on extracting data from marketing and sales platforms. It offers over 300 pre-built connectors that you can use to quickly create data pipelines.
Improvado can extract data from multiple accounts associated with a single source. It allows you to define a universal template for any source and connect all required accounts automatically, drastically speeding up the implementation process.
You can also use Improvado’s data transformation capabilities to create custom metrics for your reports by modifying metrics, channels, target audiences, and data sources.
Rating: 4.5/5.0 (G2)
Key Features
- ETL
- 300+ pre-built connectors
- Customizable dashboards and reports
Benefits
-
Purpose-built for marketing and sales data aggregation.
-
Large library of prebuilt connectors for ad platforms, analytics tools, and CRMs.
-
Automated data normalization for easier reporting.
-
Centralized data storage in a marketing-focused warehouse.
-
Strong visualization integrations (Looker, Tableau, Power BI).
Disadvantages
-
Limited beyond marketing/sales data use cases.
-
Lacks advanced transformation capabilities for complex ETL.
-
Pricing can be high for smaller teams.
-
Not as flexible for custom data engineering workflows.
Pricing
Improvado offers a free trial, so you can check it out without spending a dime. However, pricing depends on your data volume and the features you plan on using, which means you must contact them to get a custom quote.
8. Matillion
Matillion is a cloud-native data extraction platform that transforms and loads data into most data warehouses. It’s a great option for businesses with small data teams because of its no-code/low-code interface and the 100 built-in connectors.
This tool can also work for larger organizations looking to extract and transform data from in-house tools, as it offers a REST API connector and the option to code custom scripts in Python, Bash, and SQL.
Rating: 4.4/5.0 (G2)
Key Features
Benefits
-
Cloud-native ETL/ELT designed for modern data warehouses.
-
Drag-and-drop UI with SQL-based transformations.
-
Tight integration with Snowflake, BigQuery, Redshift, and Databricks.
-
Scalable for large data processing jobs.
-
Extensive component library for data transformation.
Disadvantages
-
Requires knowledge of SQL for advanced use.
-
Cost increases significantly with scaling.
-
Limited in real-time streaming capabilities.
-
Primarily focused on cloud warehouses (less flexibility for other destinations).
Pricing
Regarding pricing, Matillion has opted for a credit-based model with a $2 per credit starting point. Each new row of data or ETL instance you run will cost one credit.
9. Informatica
Informatica is mainly used by large enterprises because of its ability to manage large-scale projects in a reliable and secure way.
This platform provides various tools for integrating and transforming data, including mapping, profiling, observability, and real-time data replication between different systems.
Informatica has a user-friendly interface and provides users with extensive documentation and support resources. Because it’s a renowned company, it has a large community of users and developers who share their knowledge and best practices.
Rating: 4.2/5.0 (G2)
Key Features
Benefits
-
Enterprise-grade data integration with strong governance features.
-
Wide connector coverage for legacy, cloud, and hybrid environments.
-
Advanced data quality, MDM, and metadata management tools.
-
Highly scalable for massive enterprise workloads.
-
Strong security and compliance certifications.
Disadvantages
-
Very high licensing and implementation costs.
-
Steep learning curve; heavy training investment required.
-
UI can feel dated compared to newer ETL platforms.
-
Overkill for small to mid-size businesses.
Pricing
Pricing varies depending on the specific needs of each business. You'll need to contact Informatica’s support team to get a custom quote.
10. SAS Data Management
SAS Data Management is a comprehensive solution for managing and integrating data from various sources, including the cloud, legacy systems, and data lakes like Hadoop. This tool allows you to access, extract, transform, and load data from disparate sources into a unified data environment.
One of the key benefits of SAS Data Management is that it allows you to create data management rules once and reuse them across different projects and data sets without any additional cost. This makes it easier to establish consistent data quality standards, enforce data governance policies, and ensure regulatory compliance.
Moreover, SAS Data Management has ETL/ELT capabilities and out-of-the-box SQL-based transformations.
Rating: 4.1/5.0 (G2)
Key Features
- ETL/ELT
- Out-of-the-box SQL-based transformations
- Integrations with any data source
Benefits
-
Powerful data governance and quality management capabilities.
-
Supports advanced analytics integration with SAS platform.
-
Strong profiling, cleansing, and enrichment tools.
-
Scalable for large, complex enterprise data environments.
-
Robust security and compliance controls.
Disadvantages
-
High cost of licensing and maintenance.
-
Steep learning curve; requires specialized expertise.
-
Less intuitive interface compared to modern no-code tools.
-
Limited flexibility outside SAS ecosystem.
Pricing
Like most other tools we've covered, SAS Data Management doesn’t display pricing plans. Instead, you'll receive a quote that's calculated based on your business needs.
Comparison of Top Data Extraction Tools
| Tool | Type / Deployment | Connector Breadth | Transform Capability | Pricing Model | Strengths | Notes |
|---|---|---|---|---|---|---|
| Airbyte | Open-source core, cloud/enterprise | ~600+ connectors | Lightweight built-in, plus custom via CDK | Consumption-based/free plan | Highly extensible, fast sync (<5 min), real-time, AI-native features | Dev-friendly, flexible deployment |
| Fivetran | Cloud-managed ELT | 500–700+ connectors | ELT only; transformations post-load via dbt | Consumption-based; free tiers for low usage | Easy to use, highly reliable, enterprise-grade, auto schema drift handling | Premium pricing, limited self-hosting |
| Integrate.io | Low-code ETL/ELT, cloud | ~200+ connectors | Built-in; low-code/drag-drop; reverse ETL | Fixed fee, unlimited usage-based pricing | No-code pipelines, strong customer support | Good for non-technical teams |
| Stitch (by Talend) | Cloud ELT, part of Talend Fabric | ~130–140 connectors | Basic (minimal); relies on warehouse for heavy transformation | Row-based tiered; free trial | Affordable, simple setup, quick deployment | Limited transformation power, less suited for complex workflows |
| Hevo Data | Cloud ETL/ELT | 150+ connectors | Visual + Python; supports real-time sync | Tiered per pipeline; predictable | Real-time integration, built-in transforms, transparent pricing | Balanced between simplicity and power |
| Talend | On-premise and cloud ETL | ~40+ connectors | Rich ETL capabilities; strong data quality | Case-by-case / enterprise contracts | Advanced transformations, data governance | Higher complexity, enterprise-focused |
| Matillion | Cloud-native ELT on AWS/GCP/Azure | ~90+ connectors | GUI-based post-load SQL transforms | Transparent SaaS pricing | Easy visual orchestration, well integrated with modern warehouses | Vendor lock-in; AWS-focused ecosystem |
| Improvado | Marketing data aggregation platform | Marketing-specific APIs | Dashboard-level transformations | Varies by client | Tailored to marketing channels and visualization | Limited public comparisons available |
| Informatica | Enterprise-grade ETL/MDM suite | Extensive enterprise connectors | Full ETL capabilities | Enterprise licensing | Highly scalable, strong data governance and MDM | Complex, cost-intensive, aimed at large organizations |
| SAS Data Management | Enterprise ETL & data governance suite | Broad enterprise sources | Full ETL, plus data quality and governance | Enterprise licensing | Advanced analytics integration, robust governance | Expensive, complex; suited to extensively regulated domains |
Extract Data From Any Source With Integrate.io
Integrate.io is designed to make data extraction and pipeline creation accessible to non-technical users, allowing them to create data pipelines without having to write code.
Sign up for a free trial and access a complete set of data extraction and transformation tools today.
Data Extraction FAQs
Which Data Extraction Tool Should I Choose?
The right data extraction tool for you will depend on your organization's needs. For example, if you require an extraction tool for a large enterprise, a tool such as Informatica might be a great choice. However, if you're looking for an easy-to-use, cloud-based tool that simplifies the creation of data pipelines, Integrate.io could be the right choice.
How Does Data Extraction Work?
The data extraction process typically involves identifying the relevant data and loading it into a target system, such as a data warehouse, data lake, or BI tool. This is the first step in the ETL (extract, transform, load) process.
What Are the Different Types of Data Extraction?
There are several different types of data extraction, each suited to different types of data sources and use cases. The two most common data extraction types are:
- Full extraction: This type involves extracting all the data from a source system, such as a database or a data lake.
- Incremental extraction: This type involves extracting only the data that has changed since the last extraction. It’s useful when dealing with large data sets that are frequently updated.
Other types of data extraction include partial extraction, streaming extraction, and legacy systems extraction.
Which data extraction tools offer strong security and compliance features?
Top options built for secure and compliant data workflows include:
-
Integrate.io: Delivers encryption at rest and in transit, field-level masking, audit logs, and compliance-ready settings, perfect for regulated environments.
-
Fivetran: Offers end-to-end encryption, robust access controls, and support for compliance standards like GDPR, SOC 2, and HIPAA.
-
Talend (Enterprise Edition): Includes data masking, lineage tracking, governance controls, and role-based authorization to safeguard sensitive data.
What are the best data extraction tools tailored for healthcare compliance?
Tools designed with strict healthcare standards in mind:
-
Integrate.io: Built with HIPAA-, SOC 2-, and GDPR-compliance in mind; provides secure, auditable pipelines for clinical, claims, or patient data.
-
Talend (Enterprise Edition): Offers healthcare-grade governance, metadata tracking, and secure transformations.
-
IBM InfoSphere DataStage: Enterprise-class ETL extraction with comprehensive data governance, encryption, and auditing for healthcare workflows.
