Chen Cuello
SEP 5, 2023
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5 min read
Ingest data using Rivery

The best data extraction tools on the market are designed to streamline data workflows, eliminating manual work from daily activities. Some of the best data extraction tools enable users to handle huge volumes of data gathered from multiple sources at once. Let’s take a closer look at the top tools you need to know about in 2024. 

Rivery

This is one of the data extraction tools designed specifically with professionals in mind. It provides users with powerful capabilities for extracting large amounts of structured or unstructured data from multiple sources, including databases, APIs, websites, and more – without requiring code. 

Rivery’s flexible CDC solution (Change Data Capture) enables instant data synchronization, capturing accurate incremental data changes with ultra-low latency, and optimizing data integrity without overriding the database. This removes the burden off of engineering teams, months of processing data, cumbersome work, and resources are replaced with an agile solution, that’s fully managed and compatible with any use case. 

Rivery is the go-to ETL tool for leading data-driven companies in a range of industries, from enterprise and digital marketing agencies to retail, CPG, real estate, finance, healthcare, transportation, AdTech, cybersecurity, and more. 

AdvantagesChallenges
✔️Automated ETL processes✖️Non-technical users need training
✔️Best-in-class data replication
✔️ SQL Based Extraction
✔️ 200+ Connectors

Hevo

Hevo’s intuitive user interface lets you easily manage and monitor each integration job on a single dashboard view. This ensures everything runs smoothly without having too much manual intervention.

AdvantagesChallenges
✔️Intuitive UI✖️Limited customization options
✔️Easy integration management

Matillion 

Matillion is a data extraction tool that enables efficient data extraction. Data teams use Matillion’s machine-learning algorithm to extract the maximum value from data. The tool’s data automation features speed up data delivery, making it easier to gain and extract insights on customer behavior, market trends, etc. 

AdvantagesChallenges
✔️Advanced Analytics Capabilities✖️Costly
✔️Various automation features

Airbyte 

Airbye is an open-source platform boasting some neat ELT functionalities and data extraction capabilities. Airbyte offers more than 300 open-source connectors that are easily adaptable.  Airbyte’s Connector Development Kit is a great option, allowing data operators to build their own connectors.

AdvantagesChallenges
✔️End-to-end process management✖️Complex setup
✔️Scalability across multiple data environments

Stitch

Stitch is another data extraction tool that is a fully managed, lightweight ETL tool. With Stitch, businesses can easily extract data from more than 130 sources. Stitch is a great option for small and mid-sized businesses aiming to access and utilize relevant data from one place.

AdvantagesChallenges
✔️Automated ETL processes✖️Complex data transformations
✔️Automatic schema changes✖️ Might need custom integrations

Talend

Talend is a data extraction software that stands as a fan favorite due to its massive data integration capacities. With Talend, data operators can connect and extract data from multiple sources, whether on-premise or in the cloud.

AdvantagesChallenges
✔️ Powerful transformation tools✖️ Resource-intensive operations
✔️ Big data processing support✖️ Learning curve

Informatica

Informatica is a data extraction tool that big enterprises largely use. Informatica is a platform that boasts the ability to handle massive data projects reliably and securely. Informatica’s suite of features includes data mapping, profiling, real-time replication, and more. 

AdvantagesChallenges
✔️ Advanced data profiling✖️ Not for beginners
✔️ Automated metadata management ✖️ Legacy tool 

Integrate.io 

Integrate.io is a database extraction software offering a neat suite of solutions to accelerate and unify data for faster and more relevant insights. The Integrate simple, user-friendly interface makes it easy for non-technical staff to easily create pipelines.

AdvantagesChallenges
✔️ Real-time data extraction support✖️ Complex data operations can be a struggle
✔️ Automated workflows

Adverity

Adverity is a great data automation tool with extensive ETL functionalities. This data extraction tool allows businesses to use hundreds of pre-built connectors. Adverity is also great for transforming and enriching data.

AdvantagesChallenges
✔️ Flexible✖️Complicated UI
✔️ Good control over data

Keboola

Keboola helps businesses automate all data operations. Even though Keboola’s main assets are the ETL, reverse ETL, and ELT features, the data extraction capacities are what draw businesses to this data extraction tool.

AdvantagesChallenges
✔️ Both no-code and code solutions✖️ Not a data streaming service
✔️ 250+ pre-built connectors

Improvado

As an ETL tool, Improvado enables you to extract data from sales and marketing platforms. It’s often a go-to tool for marketers working with data teams. Improvado comes packed with more than 300 pre-built connectors to create reliable data pipelines. 

AdvantagesChallenges
✔️ Wide range of connectors available✖️Use cases are limited to marketing and sales
✔️ End-to-end analytic pipelines

Fivetran

Fivetran is a data extraction tool that excels in driving data interactions for companies looking for a no-code data extraction solution. Fivetran, now known as HVR, is mainly focused on extracting and loading data in the pipeline.

As an all-in-one ELT platform packed with 300+ built-in connectors, Fivetran enables data operators to draw data from a multitude of data sources and load it into the majority of existing cloud data warehouses. Fivetran is a solid choice for large enterprises looking to replicate huge amounts of data from various databases in real time. 

AdvantagesChallenges
✔️ Intuitive and easy to use✖️ No variety of data operations
✔️ Great for data source replication

Dataddo

Another noteworthy data extraction tool is Dataddo, a fully managed ETL service. Dataddo’s main feature is taking data from apps and/or data storage and sending them to other apps and/or storage. It is a good choice for transforming and loading data to an array of data warehouses, databases, cloud storage, dashboarding, BI apps, and more.

Dataddo is a cloud-based, no-code data integration tool offering data automation and transformation features. It’s optimized to align with most third-party apps like Facebook, Salesforce, Google Analytics, etc.

AdvantagesChallenges
✔️ Data is extracted and sent directly to BI tools✖️ New connectors are only built for paying clients
✔️ Builds new connectors upon request

Domo

Domo is a cloud-based Software-as-a-Service (SaaS) that aims to help businesses integrate data across a multitude of sources to build data pipelines. In essence, Domo stands as a data extraction tool that is basically a catalyst for the data source and data destination processes, helping businesses extract and load data securely and efficiently. Domo is packed with over 1,000 pre-built connectors for easy and versatile data extraction.

AdvantagesChallenges
✔️ No-code visualization wizards available✖️ Pricing isn’t transparent
✔️ Both on-premise and cloud data extraction

How to Select the Best Data Extraction Tool?

With so many options on the market for data extraction tools, finding the right one can be a challenge. There are so many things to consider. Check out this criteria checklist, to help you find the best data extraction tool:

  • Pricing: Calculate the total cost of the tool, including any fees, licenses, etc., and see how the numbers leverage against the possibility of manual extraction (maintenance, bug chasing, time waste, etc.)
  • Universal extractors: See if the tool makes it possible to use the connectors for extracting data from any data source should there be no pre-built extractors. 
  • Data source coverage: See how you can use the tool’s types of data connectors. Do they meet your data needs?
  • Ease of use: Would you spend hours learning the tool? Check to see just how user-friendly the UI is and whether you’ll need to learn a new language to make the most of the tool. 
  • Target audience: Is the tool designed to be used by data engineers, business experts, or non-technical users? The answers will help you determine whether you’ll be able to get the most out of the tool’s data-extracting capacities.
  • Scalability: See if the tool you’re considering uses CDC, batch processing, and parallelization. These features will help you speed up the data extraction process.

Let Rivery Help You Scale Faster

Rivery can be a great ally for your business. The fairly priced subscription models allow clients to easily leverage the costs of the tool against their business needs. Thanks to Rivery’s 200+ pre-built data connectors to popular data sources, including Microsoft Azure, Salesforce, Facebook, and Magento, your business is bound to find all the extractors it will ever need.

As one of the best data extraction tools, Rivery practically eliminates any need for manual work, which translates to less time and effort spent on data management, as well as improved workflows and reduced costs.

Conclusion

What makes a good data extraction tool? Is it its price? Its built-in connectors? Or maybe the possibility to cover many data sources? Well, it is all of the above. Solid data extraction tools allow businesses to maximize their data extraction efforts and gather data that is synchronized, structured in the right format, and viable. 

Apart from allowing businesses to improve their business-making processes, data extraction tools are also perfect for increasing data efficiency in more ways than one. For one, a well-rounded data extraction tool will automate the data-transferring process between two data systems, subsequently saving companies time and money. 

If you have made the decision to include data extraction software in your business workflows, congrats! You have invested in a tool that maximizes and optimizes data workflows while also eradicating the need for manual work. In the end, your business is left with cleansed, refined data in the right format, ready to be analyzed and categorized for maximum results and BI.

Minimize the firefighting.
Maximize ROI on pipelines.

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