About SFTP
A customer favorite for extracting data from files as well as loading data to files. Excel, CSV, JSON, XML, and more supported.
About Vertica Analytics Platform
Extract, transform, and load data to Vertica. Ingest data from Vertica and load to other destinations.
SFTP's End Points
Table of Contents
- Connect SFTP data for a single source of truth
- Extract and load data from SFTP quickly
- Integrate.io has the SFTP data integrations you need
- How Integrate.io customers power growth with its SFTP connector
- Get started moving data in minutes
- Why choose Integrate.io for SFTP data integration?
- Get started on SFTP data integration
- Explore our SFTP resources
Connect SFTP data for a single source of truth
SFTP handles various formats, like JSON, XML, and .csv files, making it the standard for file transfers. You might store marketing data in files on an SFTP server and transfer it to clients or stakeholders. But what happens if you want to ETL SFTP data to a warehouse or other target location? Integrate.io can help! Its SFTP connector accesses your critical data and transfers it to a supported destination via
ETL, allowing you to generate insights about marketing processes.
- Moving marketing data to a warehouse with Integrate.io provides a central storage location for analytics.
- You can run data in your warehouse through BI tools like Looker and Tableau and learn more about customers, campaigns, and day-to-day marketing workflows.
- You can also move data from other platforms to your warehouse and compare it with data in files on an SFTP server.
Transferring SFTP data to a warehouse is easier with Integrate.io. You can remove the complexities of SFTP data integration and visualize data on reports, dashboards, and summaries for more effective business intelligence.
Schedule an intro call to learn more about Integrate.io's native out-of-the-box SFTP connector.
Quickly extract and load data from SFTP
SFTP runs over the SSH protocol and can transfer large files over the internet. However, moving data in files on an SFTP server via ETL requires complex tasks such as coding, authentication, permissions, command lines, SSL, templates, and automation. Integrate.io takes care of the heavy lifting of ETL, making life easier for your data team.
- Integrate.io extracts data from files in an SFTP server and puts it in a staging area for data processing.
- Integrate.io transforms the data into the correct format for data analysis. That can improve data quality and even help you comply with data governance frameworks like GDPR.
- Integrate.io loads the data to a supported destination, such as a warehouse, allowing you to run that data through BI tools.
Integrate.io's connector can also push data into an SFTP server. Its bi-directional functionality allows you to configure an SFTP server as a source and destination, providing more flexibility for your data integration projects.
Set up an ETL trial meeting to discuss your particular use case and learn more about integrating SFTP data.
Integrate.io has the SFTP data integrations you need
Now you don't need to spend weeks establishing an ETL connection for SFTP integration. Integrate.io's pre-built connector does all the hard work for you, meaning you don't need to hire additional data engineers to move SFTP data to your desired location.
Examples of Integrate.io SFTP data integrations
Try Integrate.io yourself by signing up for a 14-day free trial, and experience the powerful capabilities of this no-code data pipeline platform for SFTP data integration optimization.
How Integrate.io customers power growth with its SFTP connector
Integrate.io's customers who integrate SFTP data benefit in the following ways:
- Integrate.io integrates SFTP data without customers having to write complicated ETL scripts. The platform automatically manages and prepares data sets via its connector and sends notifications about data integration bottlenecks.
- Customers can choose and filter the SFTP data they want to integrate via ETL, improving compliance and delivery. Integrate.io customizes integration based on each use case.
- Integrate.io can remove the human error that happens during integration. Customers eliminate mistakes when building complex ETL pipelines from scratch and improve back-end data engineering.
Get started moving data in minutes
ETLing data to and from key files in an SFTP server is a simple process with Integrate.io. Start by supplying some details about your project on a form and
talk to an expert about your business requirements for integration. Integrate.io provides a helping hand during every stage of your integration journey, giving you more value from the data that powers your business.
Why choose Integrate.io for SFTP data integration?
Save money
Manually creating ETL pipelines for SFTP can go wrong if you lack the necessary skills, resulting in you having to start the process all over again. That can cost money! Let Integrate.io handle SFTP data integration for you.
Customer service
Need help troubleshooting an SFTP ETL issue? Want to learn about a new data integration feature? Integrate.io has your back! Talk to the team via phone, email, or live chat.
Resources
Access online resources such as tutorials, docs, and user guides during your data integration project and improve the success of SFTP ETL.
Pre-built connectors
Integrate.io doesn't just have a pre-built connector for SFTP but various connections for data sources and destinations. Find connections for IBM Db2, Salesforce, Instagram, Oracle Database, Facebook, Shopify, Amazon S3 (AWS), Google Cloud Platform, Microsoft Azure Blob Storage, Mongo DB, and more.
REST API connector
Can't find the connection you require for a data transfer on Integrate.io? Build your own! Fetch data from nearly any source with a REST API via the platform's REST API connector.
Get started on SFTP data integration
Use SFTP? ETLing data from files in an SFTP server doesn't have to be a chore. Integrate.io's native bi-directional connector for SFTP comes out of the box, helping you quickly move data to a supported destination. Register for an
ETL trial setup meeting, and discover how Integrate.io can move your data integration goals forward.
Explore our SFTP resources
Here are some extra resources for SFTP-related integration:
Vertica Analytics Platform's End Points
Vertica Massively Parallel Processing (MPP)
Through its MPP architecture, Vertica distributes requests across different nodes. This brings the benefit of virtually unlimited linear scalability.
Vertica Column-Oriented Storage
Veritica's column-oriented storage architecture provides faster query performance when managing access to sequential records. This advantage also has the adverse effect of slowing down normal transactional queries like updates, deletes, and single record retrieval.
Vertica Workload Management Automation
With its workload management features, Vertica allows you to automate server recovery, data replication, storage optimization, and query performance tuning.
Vertica Machine Learning Capabilities
Vertica includes a number of machine learning features in-database. These include 'categorization, fitting, and prediction,' which bypasses down-sampling and data movement for faster processing speed. There are also algorithms for logistic regression, linear regression, Naive Bayes classification, k-means clustering, vector machine regression/classification, random forest decision trees, and more.
Vertica In-Built Analytics Features
Through its SQL-based interface, Vertica provides developers with a number of in-built data analytics features such as event-based windowing/sessionization, time-series gap filling, event series joins, pattern matching, geospatial analysis, and statistical computation.
Vertica SQL-Based Interface
Vertica's SQL based interface makes the platform easy to use for the widest range of developers.
Vertica Shared-Nothing Architecture
Vertica's shared-nothing architecture is a strategy that lowers system contention among shared resources. This offers the benefit of slowly lowering system performance when there is a hardware failure.
Vertica High Compression Features
Vertica batches updates to the main store. It also saves columns of homogenous data types in the same place. This helps Vertica achieve high compression for greater processing speeds.
Vertica Kafka and Spark Integrations
Vertica features native integrations for a variety of large-volume data tools. For example, Vertica includes a native integration for Apache Spark, which is a general-purpose distributed data processing engine. It also includes an integration for Apache Kafka, which is a messaging system for large-volume stream processing, metrics collection/monitoring, website activity tracking, log aggregation, data ingestion, and real-time analytics.
Vertica Cloud Platform Compatibility
Vertica runs on a variety of cloud-based platforms including Google Cloud Platform, Microsoft Azure, Amazon Elastic Compute Cloud, and on-premises. It can also run natively using Hadoop Nodes.
Vertica Programming Interface Compatibility
Vertica is compatible with the most popular programming interfaces such as OLEDB, ADO.NET, ODBC, and JDBC.
Vertica Third-Party Tool Compatibility
A large number of data visualization, business intelligence, and ETL (extract, transform, load) tools offer integrations for Vertica Analytics Platform. For example, Integrate.io's ETL-as-a-service tool offers a native integration to connect with Vertica.