Pentaho provides free and paid training resources, including videos and instructor-led training. There's no live support within the application. Pentaho provides support through a support portal and a community website. Google offers both digital and in-person training. Google provides several support plans for Google Cloud Platform, which Cloud Dataprep is part of. More complicated tools may also offer training services. Online documentation is the first resource users often turn to, and support teams can answer questions that aren't covered in the docs. Stitch’s platform allows users to take advantage of Stitch's monitoring, scheduling, credential management, and autoscaling features.ĭata integration tools can be complex, so vendors offer several ways to help their customers.
Singer integrations can be run independently, regardless of whether the user is a Stitch customer.
Singer, an open source toolkit for writing scripts that move data. Customers can contract with Stitch to build new sources, and anyone can add a new source to Stitch by developing it according to the standards laid out in More than 100 database and SaaS integrationsĪs data sources, and eight data warehouse and data lake destinations. It connects to more than 40 databases, as sources or destinations, via JDBC, ODBC, or plugins. Pentaho can take many file types as input, but it can connect to only two SaaS platforms: Google Analytics and Salesforce. It can write data to Google Cloud Storage or BigQuery. Cloud Dataprep doesn't support any SaaS data sources. It can read data from Google Cloud Storage and BigQuery, and can import files. Transformations can be defined in SQL, Python, Java, or via graphical user interface.Ĭonnectors: Data sources and destinationsĮach of these tools supports a variety of data sources and destinations.Ĭloud Dataprep is a whitelabeled, managed version of Trifacta Wrangler. Stitch is part of Talend, which also provides tools for transforming data either within the data warehouse or via external processing engines such as Spark and MapReduce. Within the pipeline, Stitch does only transformations that are required for compatibility with the destination, such as translating data types or denesting data when relevant. In addition, users can drag and drop custom scripts in Python, Java, JavaScript, and SQL onto the canvas.
Pentaho supports a wide variety of pre- and post-load transformations through dragging and dropping more than two dozen kinds of operations onto its work area. It uses a visual interface to cleanse and enrich multiple data sources before loading them to a Google Cloud Storage data lake or BigQuery data warehouse. It provides tools to format, filter, and run macros against data. Import API, Stitch Connect API for integrating Stitch with other platforms,Ĭloud Dataprep's main purpose is to let data analysts explore, clean, and prepare data for analysis. Also available from the AWS store.Ĭompliance, governance, and security certificationsĪnnual contracts. Options for self-service or talking with sales. Stitch is a Talend company and is part of the Talend Data Fabric.īusiness intelligence, data integration, ETLįull table incremental via binary logs or SELECT/replication keysįull table incremental via change data capture or SELECT/replication keysĪbility for customers to add new data sources More than 3,000 companies use Stitch to move billions of records every day from SaaS applications and databases into data warehouses and data lakes, where it can be analyzed with BI tools. Stitch Data Loader is a cloud-based platform for ETL - extract, transform, and load. It runs on-premises rather than as a SaaS application.
#PENTAHO DATA INTEGRATION DOCUMENTATION SOFTWARE#
The software comes in a free community edition and a subscription-based enterprise edition. Pentaho, a subsidiary of Hitachi Vantara, is an open source platform for data integration and analytics. Google offers lots of products beyond those mentioned here, and we have thousands of customers who successfully use our solutions together. While this page details our products that have some overlapping functionality and the differences between them, we're more complementary than we are competitive. Google Cloud Data Fusion, a cloud-native data integration service.Google Cloud Dataflow, a platform for ingesting and processing real-time data.Google Cloud Datalab, a more robust analytics tool that lets data professionals explore, analyze, transform, and visualize data and build machine learning models.Google Data Studio, a relatively simple platform for reporting and visualization.It's one of several Google data analytics services, including: Google Cloud Dataprep is a data service for exploring, cleaning, and preparing structured and unstructured data.
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