TL;DR Short answer: moving CSV to SQL is easy once and hard on a schedule. A one-off load is a single command; doing it nightly means handling delimiters, encodings, type inference and malformed rows without someone watching. Thirteen tools that automate that:
Airbyte Fivetran Stitch Matillion Airflow Talend Pentaho Informatica PowerCenter Microsoft SSIS Singer Rivery Hevo Data Meltano How do you get CSV to SQL reliably? Getting CSV to SQL sounds trivial and usually is, once. The difficulty appears when it has to happen repeatedly and unattended, because CSV carries no schema and no type information. A column that looked like an integer last week arrives with a decimal this week, a free-text field contains an unescaped comma, the encoding shifts from UTF-8 to Latin-1, or a supplier changes the delimiter to a semicolon without telling anyone. What separates the tools below is how much of that they detect and handle rather than failing the load.
For simplicity, this guide uses "CSV ETL" to refer to all data integration tools, ETL and ELT alike, that can read CSV files.
Why load CSV data into a warehouse? Business intelligence: CSV File data may need to be loaded into a data warehouse for analysis, reporting, and business intelligence purposes.Data Consolidation: Companies may need to consolidate data with other systems or applications to gain a more comprehensive view of their business operationsCompliance: Certain industries may have specific data retention or compliance requirements, which may necessitate extracting data for archiving purposes.Which CSV ETL tools should you consider?
Tool
Type
Scalability
Hosting
Connectors
Pricing
Airbyte ELT platform High Cloud / Self 700+ Capacity-based pricing Fivetran ELT service High Cloud ~300 Rows Stitch ETL platform Medium Cloud ~30 active Low-cost Matillion ELT platform High Self-hosted ~100 Enterprise Airflow Orchestrator High Cloud / Self N/A Free OSS Talend ETL suite Enterprise Cloud / On-prem Unstated Enterprise Pentaho ETL suite Enterprise On-prem Unstated Enterprise Informatica ETL suite Enterprise On-prem Unstated Enterprise SSIS ETL tool Enterprise On-prem Unstated Microsoft Singer ETL framework Framework-based Self-hosted Community Free OSS Rivery ELT platform High Cloud 150+ Usage-units HevoData ELT platform High Cloud ~150 Usage-based Meltano Orchestrator High Self-hosted Singer-based Free OSS
Here are the top CSV File ETL tools based on their popularity and the criteria listed above:
1. Airbyte Airbyte is the leading open-source ELT platform, created in July 2020. Airbyte offers the largest catalog of data connectors—550+ and growing—and has 40,000 data engineers using it to transfer data, syncing several PBs per month, as of June 2023. Major users include brands such as Siemens, Calendly, Angellist, and more. Airbyte integrates with dbt for its data transformation, and Airflow/Prefect/Dagster for orchestration. It is also known for its easy-to-use user interface, and has an API and Terraform Provider available.
What's unique about Airbyte? Their ambition is to commoditize data integration by addressing the long tail of connectors through their growing contributor community. All Airbyte connectors are open-source which makes them very easy to edit. Airbyte also provides a Connector Development Kit to build new connectors from scratch in less than 30 minutes, and a no-code connector builder UI that lets you build one in less than 10 minutes without help from any technical person or any local development environment required..
Airbyte also provides stream-level control and visibility. If a sync fails because of a stream, you can relaunch that stream only. This gives you great visibility and control over your data.
Data professionals can either deploy and self-host Airbyte Open Source, or leverage the cloud-hosted solution Airbyte Cloud where the new pricing model distinguishes databases from APIs and files. Airbyte offers a 99% SLA on Generally Available data pipelines tools, and a 99.9% SLA on the platform.
2. Fivetran Fivetran is a closed-source, managed ELT service created in 2012, with 700+ vendor-built connectors. Connectors are maintained for you and schema changes are applied automatically, though you cannot change how a connector behaves.
Fivetran offers some ability to edit current connectors and create new ones with Fivetran Functions, but doesn't offer as much flexibility as an open-source tool would.
What's unique about Fivetran? Being the first ELT solution in the market, they are considered a proven and reliable choice. However, Fivetran charges on monthly active rows (in other words, the number of rows that have been edited or added in a given month), and are often considered very expensive.
Here are more critical insights on the key differentiations between Airbyte and Fivetran
3. Stitch Data Stitch is a cloud-based platform for ETL that was initially built on top of the open-source ETL tool Singer.io. More than 3,000 companies use it.
Qlik acquired Talend, and Stitch with it, in 2023, and now publishes a formal migration path from Stitch to Qlik Talend Cloud. It remains quick to set up, but that direction of travel is worth weighing before committing.
What's unique about Stitch? Since Qlik acquired Talend, and Stitch with it, in 2023, Stitch has become one product line inside a much larger portfolio, and Qlik now publishes a formal migration path from Stitch to Qlik Talend Cloud. It is still quick to set up, but that direction of travel is worth weighing first.
Here are more insights on the differentiations between Airbyte and Stitch , and between Fivetran and Stitch.
What else should you consider? 4. Matillion Matillion is an ELT platform created in 2011, built around pushdown transformation that runs inside your cloud warehouse. It supports 100+ connectors and covers extract, load and transform. It also integrates with dbt, which has shipped with the product since version 1.70.
What's unique about Matillion? Running in your own cloud account means CSV data stays inside your infrastructure, though a multi-cloud setup may need more than one instance. Transformation is pushed down to the warehouse, so parsing and type-casting large files uses compute you already pay for.
Here are more insights on the differentiations between Airbyte and Matillion .
5. Airflow Apache Airflow is an open-source workflow management tool. Airflow is not an ETL solution but you can use Airflow operators for data integration jobs. Airflow started in 2014 at Airbnb as a solution to manage the company's workflows. Airflow allows you to author, schedule and monitor workflows as DAG (directed acyclic graphs) written in Python.
What's unique about Airflow? Airflow requires you to build data pipelines on top of its orchestration tool. You can leverage Airbyte for the data pipelines and orchestrate them with Airflow, significantly lowering the burden on your data engineering team.
Here are more insights on the differentiations between Airbyte and Airflow .
6. Talend Talend is a data integration platform that offers a comprehensive solution for data integration, data management, data quality, and data governance.
What’s unique with Talend? Talend pairs integration with data quality and governance. Two things to check first: Qlik acquired Talend in 2023 and now sells it as Qlik Talend Cloud, and Talend Open Studio, the free open-source edition, was retired on 31 January 2024, so there is no free tier or self-serve route in.
7. Pentaho Pentaho is an ETL and business analytics software that offers a comprehensive platform for data integration, data mining, and business intelligence. It offers ETL, and not ELT and its benefits.
What is unique about Pentaho? What sets Pentaho data integration apart is its original open-source architecture, which allows for easy customization and integration with other systems and platforms. Additionally, Pentaho provides advanced data analytics and reporting tools, including machine learning and predictive analytics capabilities, to help businesses gain insights and make data-driven decisions.
However, Pentaho is also an Enterprise product, so hard to implement without any self-serve option.
8. Informatica PowerCenter Informatica PowerCenter is an ETL tool that supported data profiling, in addition to data cleansing and data transformation processes. It was also implemented in their customers' infrastructure, and is also an Enterprise product, so hard to implement without any self-serve option.
9. Microsoft SQL Server Integration Services (SSIS) MS SQL Server Integration Services is the Microsoft alternative from within their Microsoft infrastructure. It offers ETL, and not ELT and its benefits.
10. Singer Singer is also worth mentioning as the first open-source JSON-based ETL framework. It was introduced in 2017 by Stitch (which was acquired by Talend in 2018) as a way to offer extendibility to the connectors they had pre-built. Talend has unfortunately stopped investing in Singer’s community and providing maintenance for the Singer’s taps and targets, which are increasingly outdated, as mentioned above.
11. Rivery Rivery is another cloud-based ELT solution. Founded in 2018, it presents a verticalized solution by providing built-in data transformation, orchestration and activation capabilities. Rivery offers 150+ connectors, so a lot less than Airbyte. Its pricing approach is usage-based with Rivery pricing unit that are a proxy for platform usage. The pricing unit depends on the connectors you sync from, which makes it hard to estimate.
12. HevoData HevoData is another cloud-based ELT solution. Even if it was founded in 2017, it only supports 150 integrations, so a lot less than Airbyte. HevoData provides built-in data transformation capabilities, allowing users to apply transformations, mappings, and enrichments to the data before it reaches the destination. Hevo also provides data activation capabilities by syncing data back to the APIs.
13. Meltano Meltano is an open-source orchestrator dedicated to data integration, spined off from Gitlab on top of Singer’s taps and targets. Since 2019, they have been iterating on several approaches. Meltano distinguishes itself with its focus on DataOps and the CLI interface. They offer a SDK to build connectors, but it requires engineering skills and more time to build than Airbyte’s CDK. Meltano doesn’t invest in maintaining the connectors and leave it to the Singer community, and thus doesn’t provide support package with any SLA.
All those ETL tools are not specific to CSV File, you might also find some other specific data loader for CSV File data. But you will most likely not want to be loading data from only CSV File in your data stores.
How should you choose a CSV ETL tool? CSV File gives access to various types of data in a structured format that can be easily integrated into various applications and systems.
How do you start loading CSV files? If you decide to test Airbyte, you can start analyzing your CSV File data within minutes in three easy steps:
Step 1: Set up CSV File as a source connector 1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
Step 2: Set up a destination for your extracted CSV File data Choose the destination where you want your CSV data to land. This can be a cloud data warehouse, data lake, database, cloud storage, or any other supported Airbyte destination.
Step 3: Configure the CSV File data pipeline in Airbyte Once you've set up both the source and destination, you need to configure the connection. This includes selecting the data you want to extract - streams and columns, all are selected by default -, the sync frequency, where in the destination you want that data to be loaded, among other options.
And that's it! It is the same process between Airbyte Open Source that you can deploy within 5 minutes , or Airbyte Cloud which you can try here , free for 14-days.
Which CSV ETL tool should you choose? There is no single right answer, because the thirteen above solve different problems. If the CSV files sit in cloud storage and you want no upkeep, Fivetran and Hevo Data cover it. If they cannot leave your network, Airbyte self-hosted is the only option here that solves that. If the files arrive malformed and need cleaning before loading, the transformation-heavy tools earn their cost. Start from where the files live and how reliably they arrive.
💡Suggested Reads JSON File ETL Tools
SFTP ETL Tools
Parquet File ETL Tools
Faker ETL Tools
ETL Tools
Data Migration Tools
Data Ingestion Tools
Open Source ETL Tools
Data Integration Tools
Data Synchronization Tools
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