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Which is more popular?
Based on our record, Fivetran
seems to be more popular. It has been mentioned
12 times
since March 2021.
social mentions
12 vs 0
Data Integration popularity
100% vs 0%
alternatives listed
240+ vs 10
Base details
Website, pricing, platforms and company facts side by side.
Automation Fivetran automates data integration, eliminating the need for manual coding and reducing maintenance overhead.
Scalability Fivetran can easily scale its services to handle growing data loads, making it suitable for businesses of various sizes.
Wide Range of Connectors It supports a broad array of data sources and destinations, allowing for diverse data pipelines.
Data Transformation Fivetran provides built-in data transformation capabilities, ensuring that data is in the correct format when it reaches the destination.
Real-Time Data Syncing Fivetran allows for near real-time data syncing, which is crucial for businesses that rely on up-to-date data for decision-making.
Reliability The service ensures data integrity and reliability, minimizing data loss during transfers.
Possible disadvantages
Cost Fivetran can be expensive, especially for small businesses or startups with limited budgets.
Limited Customization The platform offers limited options for customization, which might be a drawback for businesses with unique data integration needs.
Complex Setup for Non-Technical Users Despite its automation features, the initial setup can be complex for users without technical expertise.
Dependency on Third-Party Services Reliance on Fivetran means depending on a third party for crucial data integration tasks, which could be risky if the service faces downtime.
Data Latency for Some Sources While Fivetran supports near real-time syncing for many sources, some data sources might experience latency, affecting the freshness of the data.
Always-on MIDI capture MiDITake is designed to record MIDI in the background, so spontaneous ideas and improvisations are captured even if you forgot to press record in your DAW. This is its main selling point for keyboardists and producers.
Fits into existing workflows It works alongside your DAW and MIDI controllers rather than replacing them. You can pull captured performances into your preferred DAW, so you don't need to change your production setup.
Encourages creative flow Because you don't have to set up tracks, arm recording, or worry about missing a take, you can focus on playing and experimenting. This reduces friction and the stress of losing a good idea.
Simple, focused tool It does one job, MIDI recording and retrieval, so the interface and learning curve should be minimal. Users can get value from it quickly without learning a complex application.
Useful for practice and review Recorded sessions can be reviewed afterward, which helps musicians go back over practice sessions, find the best take, or recover ideas they played without realizing they would want them later.
Possible disadvantages
Narrow feature set As a specialized utility, it does not offer full composition, editing, sequencing, or sound design features. Users still need a DAW for anything beyond capturing and retrieving MIDI.
Limited audience It is mostly useful for people who play MIDI instruments or controllers live. Producers who work mainly with mouse-drawn notes or audio-based workflows may get little value from it.
Possible extra cost Some DAWs already offer similar retroactive or always-on MIDI recording features, such as Capture MIDI in Ableton Live or Retrospective Record in Logic and Cubase. Paying for a separate tool may be hard to justify for those users.
Setup and compatibility concerns Capturing MIDI in the background can conflict with DAWs or other apps that want exclusive access to MIDI devices. Routing or virtual MIDI ports may need configuring, and platform support may be limited, so check compatibility before buying.
Smaller community and resources As a niche product, it likely has fewer tutorials, user forums, and third-party resources than mainstream music software. Troubleshooting and learning advanced use may rely mainly on the developer's own documentation and support.
Analysis
An editorial look at what each product does well and who it suits.
FivetranMidiTake
Overall verdict
Fivetran is generally regarded as a good solution for businesses looking for an automated, reliable, and easy-to-use data integration tool. It is particularly beneficial for companies that wish to reduce time and effort spent on managing data pipelines and ensuring accurate data transfer.
Why this product is good
Fivetran is considered good due to its ability to automate data integration processes, providing a seamless and efficient way to connect various data sources to your data warehouse. It offers pre-built connectors, automated schema management, and reliable data syncing, which reduces the need for manual coding and maintenance. Its robust security measures and scalability also contribute to its positive reputation.
Recommended for
Fivetran is recommended for small to large businesses that require efficient data integration from multiple sources into their data warehouse. It is ideal for organizations looking for a fully managed service to simplify their ETL/ELT processes, especially those using cloud-based data warehousing solutions such as Snowflake, BigQuery, or Redshift.
High costs: Fivetran’s pricing model, based on Monthly Active Rows (MAR), is one of the most expensive modern ELT vendors, often 5-10x the alternatives. Fivetran measures MARs based on its internal representation of...
Fivetran's pricing is determined by monthly active rows (MAR), which can be unpredictable because of the way Fivetran internally represents data and manages non-relational sources. Additionally, reducing latency...
It is a cloud-based ETL solution that supports data integration with data warehouses like Redshift, BigQuery, Azure, and Snowflake. One of the top selling points of Fivetran is its array of data sources, with nearly...
Even looking past these limitations, internal scripts invariably require development and maintenance time, and as any developer knows, can break at the worst of times :) Method #2: Use Zapier? (https://zapier.com) Want to use Zapier to...
- Source: Hacker News
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over 3 years ago
Big problem with companies now is they hire data scientist for task that don't require data science practices.
Disclaimer: I work for Fivetran, a data integration company.
Source:
about 4 years ago
I love data science but hate data engineering
Disclaimer: I'm a product evangelist for a data integration company called Fivetran, so I'm shamelessly shilling here.
Source:
over 4 years ago
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