Stitch features and reviews of 2020
Stitch ETL tools software helps organizations and data engineers extract data from key sources, load them into data platforms, and analyze them for company-wide use.
Stitch ETL tools software is an extensive cloud-based ETL platform for data teams, data engineers, and organizations. The software provides tools to helps users monitor data flow. With this platform, managers can extract data from sources including AdRoll, AfterShip, Amazon Aurora MySQL, Amazon RDS for PostgreSQL, Amazon S3, and more.
The software allows users to load data to storage platforms, data lakes, and data warehouses, including Amazon Redshift, Amazon S3, Microsoft Azure, Synapse Analytics. Managers users can configure the software to route different data sources to multiple destinations based on their needs, track their data via the pipeline, and know when it arrives, stay compliant with the security and privacy standards of their industry.
Stitch ETL tools software helps data engineers and analysts transform data and improve data quality. With this software, business teams can structure their data for compatibility and gain valuable insights from raw data.
Stitch ETL tools software allows users to take their analytics project to the next level and deliver insight-ready data using Talend's data transformation capabilities and data quality solutions. Users can design and execute data transformations quickly, with over 900 connectors and components.
The software provides enterprise-grade compliance and security. The tool offers secure options for connections to all data sources and destinations, including SSL/TLS, SSH tunneling, and IP whitelisting.
Stitch ETL tools software helps organizations and managers extract data from critical sources. The software helps startups and large enterprises control the flow of their most essential business data.
Managers use this tool to replicate all historical data from SaaS tools and databases. The software supports connection with data sources such as AdRoll, AfterShip, Amazon Aurora MySQL, Amazon RDS for PostgreSQL, Amazon S3, Amplitude, Asana, Autopilot, BigCommerce, CampaignMonitor, Braintree, and more.
Stitch ETL tools software supports selective data replication. Managers can replicate the required data selecting only the fields and tables they want in their data warehouse. The software allows managers to add multiple users from across the organization, manage and authenticate their data sources. With the extensible platform, managers can add data sources they need or push data directly to Stitch's API.
Stitch ETL tools software allows data analysts and managers to load data into the leading data destinations and platforms. This software helps users deliver their data to storage platforms, data lakes, and data warehouses including Amazon Redshift, Amazon S3
Microsoft Azure, Synapse Analytics, Delta Lake on Databricks, Google BigQuery, Panoply, PostgreSQL, and Snowflake.
Managers can configure the software to route different data sources to multiple destinations based on their needs. With the powerful orchestration features of this software, users can track their data via the pipeline, know when it arrives, and stay compliant with the industry's security and privacy standards.
Stitch ETL tools software provides data analysis tools and platforms to help organizations and managers structure their data. The software makes it easy for companies to gain valuable insights from raw data, whether they are working with dbt models or Looker Blocks.
The software supports tool-specific integrations with analytics applications and software such as AFS G2, Alteryx, Amazon QuickSight, Amazon SageMaker, AnswerRocket, Apache Spark, Arcadia Data, Beaker, Bime, Birst, and more. With the detailed documentation, users can recognize what data is coming and how it is structured.
Stitch ETL tools software provides transparency and control to data pipelines. The software has orchestration features that give users complete control and visibility into their data as it flows from their data sources to the destinations in their data stack.
With this software, users seamlessly schedule data replication, specify when and how often they need their data replicated. The system detects and reports any errors that happen in the user's data pipeline. Stitch ETL tools software automatically helps users resolve issues, and notifies them when their input is needed.
Users can monitor and review the software's replication progress with detailed Loading Reports and Extraction Logs. With the log explorer, users can speedily identify and mitigate unexpected results. The advanced scheduling feature allows users to specify granular extraction start times as well as configure whitelist hours.
The software adds custom columns to user data and allows them to perform smart cache refreshes and track the recency and frequency of new records. Stitch ETL tools software helps users route their data sources to different destinations to meet their needs, whether they are performing data migration, maintaining a hybrid data stack, or supporting multiple environments.
Stitch ETL tools software is extensive and provides support for every data source that companies and data managers need. The software ensures that organizations do not leave any data behind. The software offers an Import and REST API that enables users to push any arbitrary data from any location into their data warehouse using Stitch.
Like data from any other integration, data sent to the Import API is processed and sent to the user's preferred destination via Stitch. The Import API accepts Transit or JSON and returns JSON for all its methods. Each method utilizes a standard HTTP verb (GET/POST) and HTTP response codes for returning statuses. Stitch ETL tools software upsert users' data so that they don't create duplicates by mistake.
Stitch ETL tools software allows developers to create and collaborate on integrations using a standard JSON-based format. Stitch's source integrations are powered by Singer, an open-source standard and embedded ETL that enables data analysts and engineers to replicate data from any source to any destination.
Stitch ETL tools software helps data engineers and analysts transform data and improve data quality. This software allows users to take their analytics project to the next level and deliver insight-ready data using Talend's transformation and data quality solutions.
Users can develop data integration jobs and deploy them using Talend's transformation, collaboration, and scheduling features. The software allows users to quickly design and execute data transformations with more than 900 connectors and components, including joining, aggregating, mapping, sorting, enriching, and more.
The tool helps organizations accelerate time to value for big data projects and scale with more complex processing. Talend automates and simplifies big data integration in the cloud using wizards and graphical tools that generate native code. Data teams can start working with Apache Spark, Hadoop, Spark Streaming, and NoSQL databases in the cloud.
Stitch ETL tools software helps users profile, cleanse, and mask their data, monitor data quality in any size or format. The software provides capabilities for data validation, de-duplication, and standardization. Users can create and clean data for reporting, analytics, and operation.
Stitch ETL tools software provides enterprise-grade security and compliance. With this software, users can secure, analyze, and govern their data by centralizing them into their data infrastructure. The software uses encrypted communication and maintains an A+ grade from Qualys SSL Labs.
The data source integrations use minimum permissions that allow read access to critical data. Users can configure the integrations to replicate a subset of available data. Stitch ETL tools software provides secure options for connections to all data sources and destinations, including SSL/TLS, SSH tunneling, and IP whitelisting.
Stitch ETL tools software helps data analysts control the flow of their critical business data. The software allows businesses to extract data from multiple sources and integrate them with business tools. With this software, managers can turn big data into smart business assets, protect sensitive data with masking, enhance data quality, and drive competitive advantage.