Top 5 Alternatives to AloomaIf you’re an Alooma user—or just someone who pays very close attention to Silicon Valley news—you’re probably aware that Google announced it would be acquiring Alooma back in February 2019. This is great news for Google Cloud users who needed a solid ETL solution! But it could be bad news for Alooma users who aren’t exclusively using Google Cloud offerings as their data warehousing solution. (And just in case you're starting to wonder about comparing Redshift and BigQuery, we’ve done the research for you.)
Given the way these sorts of acquisitions go, it could be a matter of time before Alooma becomes less of a general purpose ETL tool and more of a Google-specific offering. If you’re a current or potential Alooma customer and don’t want to be locked into the Google ecosystem, it might be time to look around for Alooma alternatives.
Don’t worry, we’ve got you. We’ve rounded up the top 5 ETL platforms that you can use in place of Alooma while staying happily destination-agnostic.
Panoply’s long list of pre-built data connectors, with options that range from Facebook and Shopify to MongoDB and DynamoDB, makes collecting data from a wide range of sources as easy as clicking a few buttons and filling in some fields in most cases. Our main offering is automated data warehouses built on AWS or Azure infrastructure, meaning you’ll be able to load your data right into a no-maintenance data warehouse without needing to have an entire data engineering team on hand. If you just want to make use of our data connectors to sync into an existing Azure SQL data warehouse, you can do that too. Either way, you’ll be able to collect and integrate your data in minutes with minimal setup. Panoply also integrates easily with all the major BI and data visualization packages, so you’ll be able to create dashboards and do complex data analysis using the data you’ve integrated in your Panoply warehouse.
Stitch’s cloud-based ETL tool can make almost every step of your data collection and integration processes easier. With a deep bench of pre-built data integrations and the ability to load your data into all the major data warehouse platforms (including Panoply!), Stitch can make quick work of moving your data from source to destination. Because Stitch handles everything on their end, scaling ETL processes up and down is easy, meaning you won’t need to worry about managing hardware or balancing workloads even when you’re processing billions of records each day. When it comes to analysis, Stitch can also collect and transform your data so that it’s ready to feed into whatever BI or analysis package you like to use.
Stitch pricing: $100 - $1,000/month based on data size
Another top-notch ETL tool, Fivetran maxes out on ease of setup and operation. ETL pipelines can be set up in a few clicks, making it easy to move data from a huge range of data sources into whatever your choice of data warehouse is. And if you don’t already have a data warehouse set up, Fivetran can spin one up for you for an additional fee. Meanwhile, Fivetran will take on all the maintenance for your ETL processes. Fivetran can adjust automatically to schema changes at the data source level without requiring any input from you at all. When it comes to analysis, Fivetran doesn’t provide any direct connectors to BI or data visualization packages, but their ETL process does a lot on the load step to make analysis easier: data schemas at the destination are optimized for analysis to make your queries go as smoothly as possible.
Fivetran pricing: Available upon request
Singer is an open source ETL tool from our friends at Stitch. Where Stitch is designed for no-code use, Singer is aimed at those who are comfortable running their ETL processes from the command line. Singer is built to be modular, with a library of pre-built taps and targets. Taps are pre-built scripts designed to collect data from specific sources and deliver it in standardized JSON to targets, or specialized loading scripts designed for specific destinations. This modularity makes it easy to set up, swap and rearrange your ETL pipelines on the fly, and scripting your ETL processes from the command line is super easy if you’ve got basic technical chops. Want to learn more about using this tool? Check out our Singer Tutorial.
Singer price: Open Source
Like Fivetran and Stitch, Blendo specializes in cloud-based, no-code ETL processes. You won’t need to worry about managing data collection scripts thanks to Blendo’s pre-built and maintained data connectors (currently close to 50 and counting). Using Blendo, you’ll be able to point those scripts at a number of data warehouse destinations, including Amazon Redshift, Google BigQuery, Panoply, Microsoft SQL Server, Snowflake or any PostgreSQL-based warehouse. Blendo will also monitor the health of your ETL pipelines and automatically alert you if anything goes wrong, so your analysts can focus on analysis rather than troubleshooting your data pipelines.
Blendo price: Available upon request
Comparing ETL Tools
There is a lot to consider when comparing ETL tools. Price is an obvious place to start but beyond that, you should be careful in considering who is going to be using the tool and what is their technical familiarity with the data. Open source tools are great when it comes to flexibility and cost but you have to consider the tradeoffs when it comes to resources. As a Service means a lot less servicing that your team will have to do. That’s additional time those expensive data engineer hours could be spent building things rather than maintaining them.
It is this notion that drives Panoply’s offering. We provide a data pipeline that is powerful enough to handle modern data workloads and simple enough for analysts to own and manage. We also provide unparalleled service to support our users. Our customers tend to agree. We hope you will too. You can try Panoply free for 14 days or get a personalized demo when you are ready.