Fivetran vs Sprinkle Pipelines

Fivetran Alternative:
Sprinkle Pipeline, a no-code data engineering tool

Sprinkle Pipeline is a good alternative to Fivetran due to its no-code data engineering capabilities and ability to host on your own servers.

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If you are currently using Fivetran, you might face following problems

Difficult to analyse data discrepancy and pipeline failures

Your pipeline is scattered across multiple tools, fivetran doing the ingestion, transformations are executed via Airflow, data is stored in data lake and warehouse. It becomes very difficult to do impact analysis going thru logs of so many systems.

Data Egress costs

For data replication, there is a round-trip from your datasource servers to your data warehouse via the Fivetran servers. This leads to data egress cost charged by cloud providers.

No option to host Fivetran on own your servers

If you want to have full control for reasons like compliance, you cannot host Fivetran on your own servers. Fivetran offers only SaaS deployment model.

Cannot define transformations in python

Fivetran provides only data ingestion with very basic transformation capabilities. For any production grade transformation pipelines, you have to integrate and manage different tools like Airflow, and have to optimise transformations using custom coding in python or pyspark.

Cannot explore data quickly. No SQL support

For debugging and also for building quick reports, you have to rely on different tools.

If you face the problems above, then Sprinkle might be a suitable alternative for your organisation.

The core technology of Sprinkle is a semantic layer that includes Ingestion, transformation, exploration and cataloging, that runs on top of your own infrastructure. This allows data teams to collaborate and work across the entire lifecycle of data, without writing any code.
Sprinkle Pipelines
Fivetran
Change Log Based Replication
Query Based Replication
Incremental Updates
Supported Connectors
100+
200+
SSH Tunnel
SQL Transforms
Incremental Transforms with Partition management
Python Transforms
SQL Data Exploration
Catalog & Data Lineage
Notifications - Slack & Email
Deployment : SaaS
Deployment : Self-Hosted
Process data within your VPC with No Data Egress
Version control transforms in your GitHub repo
Pricing : Starting Plan
$299/month for 25 million rows
$60/month for 2 million rows
Pricing : 100+ million rows
$999/month for 200 million rows
$2380/month for 100 million rows
Pricing : Unlimited rows
Available

Why customers love us ?

Sprinkle help us run thousands of analyses without any analysts

"Swiggy’s hyperlocal time-critical business model requires quick and accurate insights.Therefore, most business and product teams need to do analyses by themselves. To make this happen, we needed a no-code analysis platform that was feature-rich and easy to use at the same time. Sprinkle has served that purpose very well for us. Today, we have hundreds of business and product users running thousands of analyses every month without the need for any analysts."

David Zakkam
VP Analytics, Swiggy

Sprinkle helped us reduce the data dependency on engineering team

"The data team has been able to reduce the data dependency on them. Through the self-serve analytics on Sprinkle, the business & product users are able to get the required data & visualisations with ease themselves. Once the models are set up, it is very easy for users to build on new dashboards, which is very helpful in catering to ad-hoc requests."

Jaideep Dhok
Head Data Engineering, Yulu

Building of data pipeline can be done in no time with Sprinkle

"The tasks like building the data pipeline, which could have easily taken up to 2 weeks, can now be achieved with Sprinkle in a day or so. The reporting tasks that could have easily taken 4 to 8 hours can be done through automation on Sprinkle in half an hour, which is a game-changer for sales."

Sneha Saha
Lead Data Engineer, Byju's

Really flexible,supportive in their client support

"A great data integration tool which helped our company bring together different data sources like MySQL, Mongodb, Segment and S3. It had all we wanted from a data integration and management platform at one place. Moreover the Sprinkle team is really supportive and flexible in their client support and always available even for smaller questions."

Ambalika Smiti
Manager Analytics, Swiggy

Sprinkle made easy to implement projects faster in our org

"Sprinkle helped our analytics team to focus on building models instead of worrying about data. Proactive support from sprinkle makes it easy to implement projects faster in our organisation."

Avinash Kumar
CTO, Aavas Financiers