However, users report that the UI is a bit clunky and Fivetran lacks a SQL workbench so you can’t interact directly with your data.įivetran pricing: Fivetran follows a Monthly Active Rows pricing model that starts at $1/credit. TL DR: Fivetran is perfect for data gurus who want to do much more with enterprise data. However, you can only work with the data within BigQuery and create reports because (unlike Panoply) Fivetran doesn’t let you query data within its platform. This approach also helps data scientists move data from the source to the destination without storing a copy on an application server. Fivetran has multiple integrations that help users quickly push business data into a data warehouse or their favorite BI tool.įivetran is armed with a sophisticated caching layer that enables the transfer of data over a secure connection. Fivetranįivetran is a fully-managed cloud-based ETL tool popular among data engineers. Xplenty pricing: Xplenty offers flat-rate, connector-based pricing that’s available upon request. If you have data scientists and data analysts on your team, it’s best to look elsewhere. TL DR: Xplenty is best for small to mid-sized companies with non-technical users who want to derive value from business data. However, more technical users will be left wanting more.
If you’re a small business operating in a regulated environment, this might be the right tool for you. Xplenty makes it relatively easy for non-techy users to clean, process, normalize, and transform data while adhering to governance protocols. However, Xplenty users report slow interface response times when navigating between packages and fields. Xplenty users build simple data pipelines for automated data flows leveraging its low-code or no-code drag-and-drop visual interface. Xplenty is a cloud-based ETL tool built for business users who aren’t proficient in SQL.
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Panoply pricing : see all pricing options a free trial is available. General ETL tools don’t include storage and are often more difficult to use than Panoply, making it a powerful and affordable solution. TL DR: Panoply is an excellent ETL tool for small to mid-sized businesses with a mix of technical and non-technical users. As Panoply makes syncing, storing, and accessing data a breeze, it might be worth further exploration if you have both data savvy folks and business users on your team. These include popular advertising platforms, cloud APIs, CRMs, databases, file storage systems, and much more. Panoply is equipped with built-in ETL integrations with dozens of data sources out of the box. As it’s code-free, it’s easy to use and accessible to non-technical users, though more techy data users can also leverage the SQL workbench to engage in advanced analytics. Panoply is a code-free ETL tool and low-maintenance data warehouse.
We dove right in, explored a bunch of data platforms, and came up with the top 8 BigQuery ETL tools. As ETL is a critical part of the process, you have to be careful when choosing an ETL tool to avoid potential hiccups and even data loss.Īt Panoply, we’re on a mission to become data analytics gurus that have the correct answers to any question related to big data. The short answer is that the best BigQuery ETL tool to use is relative to your business, resources, and technical expertise. So what’s the best BigQuery ETL tool for your next project? The goal here is to move your data from disparate sources to the destination data warehouse with zero loss.
If your data already lives on Google Cloud Platform, BigQuery is a natural choice.īut before you can benefit from BigQuery’s user-friendly platform, accelerated insights, and ability to handle different types of data, you have to first extract, transform, and load vast amounts of data into the data warehouse. Google’s BigQuery is a cloud data warehouse leveraged by data analysts and data scientists.
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