Top 10 Pentaho Data Integration Alternatives & Competitors

Top 10 Alternatives to Pentaho Data Integration Recently Reviewed By G2 Community

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IBM DataStage
By IBM
4/5
(72)
Product Description
IBM DataStage is a ETL platform that integrates data across multiple enterprise systems. It leverages a high performance parallel framework, available on-premises or in the cloud.
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Reviewers say compared to Pentaho Data Integration, IBM DataStage is:
More expensive
Better at support
Categories in common with Pentaho Data Integration:
Big Data Integration Platforms
ETL Tools
Data Mapping

Informatica PowerCenter
By Informatica
4.3/5
(89)
Product Description
Informatica PowerCenter is an ETL tool that is used to enterprise extract, transform, and load the data from the sources. We can build enterprise data warehouses with the help of the Informatica PowerCenter. The Informatica PowerCenter produces the Informatica Crop.
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Reviewers say compared to Pentaho Data Integration, Informatica PowerCenter is:
More expensive
Better at support
Better at meeting requirements
Categories in common with Pentaho Data Integration:
ETL Tools
On-Premise Data Integration
Data Mapping

AWS Glue
By Amazon Web Services (AWS)
4.3/5
(196)
Product Description
AWS Glue is a fully managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load their data for analytics.
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Reviewers say compared to Pentaho Data Integration, AWS Glue is:
More expensive
Better at support
Easier to set up
Categories in common with Pentaho Data Integration:
Big Data Integration Platforms
ETL Tools
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Google Cloud BigQuery
By Google
4.5/5
(1,210)
Product Description
Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.
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Reviewers say compared to Pentaho Data Integration, Google Cloud BigQuery is:
Better at support
Easier to set up
More expensive
Categories in common with Pentaho Data Integration:
Big Data Integration Platforms
ETL Tools
Big Data Processing and Distribution

Alteryx
By Alteryx
4.6/5
(671)
Product Description
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
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Reviewers say compared to Pentaho Data Integration, Alteryx is:
More expensive
Better at support
Easier to set up
Categories in common with Pentaho Data Integration:
Big Data Integration Platforms
ETL Tools

Azure Data Factory
By Microsoft
4.6/5
(93)
Product Description
Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organizations to construct and orchestrate Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows in a code-free environment, facilitating seamless data movement and transformation across on-premises and cloud-based systems. Key Features and Functionality: - Extensive Connectivity: ADF offers over 90 built-in connectors, allowing integration with a wide array of data sources, including relational databases, NoSQL systems, SaaS applications, APIs, and cloud storage services. - Code-Free Data Transformation: Utilizing mapping data flows powered by Apache Spark™, ADF enables users to perform complex data transformations without writing code, streamlining the data preparation process. - SSIS Package Rehosting: Organizations can easily migrate and extend their existing SQL Server Integration Services (SSIS) packages to the cloud, achieving significant cost savings and enhanced scalability. - Scalable and Cost-Effective: As a serverless service, ADF automatically scales to meet data integration demands, offering a pay-as-you-go pricing model that eliminates the need for upfront infrastructure investments. - Comprehensive Monitoring and Management: ADF provides robust monitoring tools, allowing users to track pipeline performance, set up alerts, and ensure efficient operation of data workflows. Primary Value and User Solutions: Azure Data Factory addresses the complexities of modern data integration by providing a unified platform that connects disparate data sources, automates data workflows, and facilitates advanced data transformations. This empowers organizations to derive actionable insights from their data, enhance decision-making processes, and accelerate digital transformation initiatives. By offering a scalable, cost-effective, and code-free environment, ADF reduces the operational burden on IT teams and enables data engineers and business analysts to focus on delivering value through data-driven strategies.
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Reviewers say compared to Pentaho Data Integration, Azure Data Factory is:
More expensive
Better at support
Easier to set up
Categories in common with Pentaho Data Integration:
Big Data Integration Platforms
ETL Tools

Snowflake
By Snowflake, Inc.
4.6/5
(679)
Product Description
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.
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Reviewers say compared to Pentaho Data Integration, Snowflake is:
Better at support
More expensive
Easier to set up
Categories in common with Pentaho Data Integration:
Big Data Integration Platforms
Big Data Processing and Distribution

Apache NiFi
By The Apache Software Foundation
4.2/5
(25)
Product Description
Apache NiFi is an open-source data integration platform designed to automate the flow of information between systems. It enables users to design, manage, and monitor data flows through an intuitive, web-based interface, facilitating real-time data ingestion, transformation, and routing without extensive coding. Originally developed by the National Security Agency (NSA) as "NiagaraFiles," NiFi was released to the open-source community in 2014 and has since become a top-level project under the Apache Software Foundation. Key Features and Functionality: - Intuitive Graphical Interface: NiFi offers a drag-and-drop web interface that simplifies the creation and management of data flows, allowing users to configure processors and monitor data streams visually. - Real-Time Processing: Supports both streaming and batch data processing, enabling the handling of diverse data sources and formats in real-time. - Extensive Processor Library: Provides over 300 built-in processors for tasks such as data ingestion, transformation, routing, and delivery, facilitating integration with various systems and protocols. - Data Provenance Tracking: Maintains detailed lineage information for every piece of data, allowing users to track its origin, transformations, and routing decisions, which is essential for auditing and compliance. - Scalability and Clustering: Supports clustering for high availability and scalability, enabling distributed data processing across multiple nodes. - Security Features: Incorporates robust security measures, including SSL/TLS encryption, authentication, and fine-grained access control, ensuring secure data transmission and access. Primary Value and Problem Solving: Apache NiFi addresses the complexities of data flow automation by providing a user-friendly platform that reduces the need for custom coding, thereby accelerating development cycles. Its real-time processing capabilities and extensive processor library allow organizations to integrate disparate systems efficiently, ensuring seamless data movement and transformation. The comprehensive data provenance tracking enhances transparency and compliance, while its scalability and security features make it suitable for enterprise-level deployments. By simplifying data flow management, NiFi enables organizations to focus on deriving insights and value from their data rather than dealing with the intricacies of data integration.
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Reviewers say compared to Pentaho Data Integration, Apache NiFi is:
Easier to set up
Better at meeting requirements
Easier to do business with
Categories in common with Pentaho Data Integration:
Big Data Integration Platforms
ETL Tools

MuleSoft Anypoint Platform
By Salesforce
4.5/5
(714)
Product Description
Anypoint Platform™ is a complete platform that lets companies realize business transformation through API-led connectivity. It is is a unified, flexible integration platform that solves the most challenging connectivity problems across SOA, SaaS and APIs.
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Reviewers say compared to Pentaho Data Integration, MuleSoft Anypoint Platform is:
More expensive
Better at support
Easier to set up
Categories in common with Pentaho Data Integration:
ETL Tools

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