Best Big Data Processing And Distribution Systems - Page 4

How Many Big Data Processing And Distribution Systems Products Does G2 Track?

Total Products under this Category: 123

Category Stats (Oct 2026)

  • Average Rating: 4.4/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: ITONICS (+1.6%) - Among all products in this category, ITONICS recorded the largest rating increase compared to last month

Last updated: October 26, 2026

How Does G2 Rank Big Data Processing And Distribution Systems Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 9,700+ Authentic Reviews
  • 123+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Big Data Processing And Distribution Systems

G2 Grid® for Big Data Processing And Distribution Systems plotting products by satisfaction and market presence

Highlighted products: Databricks, Google Cloud BigQuery, IBM watsonx.data, Snowflake, Cloudera, Amazon EMR, Apache Spark for Azure HDInsight, and AWS Lake Formation.

Underlying data: [Grid® JSON](https://www.g2.com/categories/big-data-processing-and-distribution/grids.json?focus%5B%5D=databricks&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=snowflake&focus%5B%5D=cloudera&focus%5B%5D=amazon-emr&focus%5B%5D=apache-spark-for-azure-hdinsight&focus%5B%5D=aws-lake-formation)

GeoSpock DB

GeoSpock enables data fusion for the connected world with GeoSpock DB – the space-time analytics database. GeoSpock DB is a unique, cloud-native database optimised for querying for real-world use cases, able to fuse multiple sources of Internet of Things (IoT) data together to unlock its full value, whilst simultaneously reducing complexity and cost. GeoSpock DB enables efficient storage, data fusion, and rapid programmatic access to data, and allows you to run ANSI SQL queries and connect to standard analytics tools via flexible JDBC/ODBC connectors. Users are able to perform deep analysis and share insights using familiar toolsets, with plug and play support for common BI tools (such as Tableau™, Amazon QuickSight™, and Microsoft Power BI™), and Data Science and Machine Learning environments (including Python Notebooks and Apache Spark). The database can also be integrated with proprietary applications, web services, and internal tools – with compatibility for open-source and customisable visualisation libraries such as Kepler and Cesium.js.

Average Rating: 4.0/5.0

Total Reviews: 10

How Do G2 Users Rate GeoSpock DB?

  • Real-Time Data Collection: 7.5/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.3/10 (Category avg: 8.6/10)
  • Data Preparation: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind GeoSpock DB?

  • Seller: GeoSpock
  • Year Founded: 2013
  • HQ Location: Cambridge, GB
  • Twitter: @GeoSpock
    953 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 70% Large, 20% Medium

What Are Recent G2 Reviews of GeoSpock DB?

What Are G2 Users Discussing About GeoSpock DB?

GigaSpaces

GigaSpaces helps enterprises apply AI to real-time, structured operational data, enabling spontaneous, natural language conversations that accelerate decision-making, improve agility in unexpected situations, and surface opportunities and risks in everyday business. With over two decades of experience powering mission-critical systems, GigaSpaces is a pioneer in real-time data technology and a trusted foundation for data-driven services across industries, including finance, travel, telecom, and insurance. Headquartered in the US, with offices in Europe and Israel, GigaSpaces helps organizations turn operational data into decisions that are timely, secure, and scalable. The GigaSpaces Portfolio delivers the fastest, scalable and easiest to deploy, suite of software platforms to meet the most challenging enterprise data requirements. Numerous Tier-1 and Fortune-listed organizations and OEMs across financial services, retail, transportation, telecom, healthcare, and more trust GigaSpaces to power their mission critical services to optimize business operations, adhere to regulatory compliance and enhance customer experience. Our offices are located in the US, Europe and Israel with partners around the globe; serving customers such as Morgan Stanley, Bank of America, CSX, Société Générale, Crédit Agricole, Avanza Bank, Avaya, CLSA, and Groupe PSA.

Average Rating: 4.6/5.0

Total Reviews: 11

How Do G2 Users Rate GigaSpaces?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 7.5/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.3/10 (Category avg: 8.6/10)
  • Data Preparation: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind GigaSpaces?

  • Seller: Gigaspaces
  • Year Founded: 2000
  • HQ Location: New York City, NY, USA
  • Twitter: @GigaSpaces
    2,772 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    108 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 36% Medium

What Are Recent G2 Reviews of GigaSpaces?

What Are G2 Users Discussing About GigaSpaces?

GI Big Data

GI Big Data Analytics is a complete Big Data platform for companies that want to really benefit from the best technologies on the market as well as the consulting & services in one package. GI Big Data offer Analytics comprises all what you need: - Cloud Data Warehouse based on the best technologies Google Big Query, AWS Redshift, Pivotal Greenplum, Snowflake - Sandbox management included; - Reporting tool such as Tableau Software; - Analytics tool; - Connectors to databases and trackers - Data integration layer; - Audit, Backup & Monitoring layers; - API to reuse data; - Data scientists teams as well as data management teams; - Algorithms; - Key Metrics on TV screens; - Open access of the platform to your business & technical teams. The last but not the least is our business model. We invest to make you grow with data. And when you grow, you win and we win. We can deduct all your investment from the growth engines we build and operate together with you. Have a look at our short videos: FR:https://www.youtube.com/watch?v=hjYmzKOQAWg EN:https://www.youtube.com/watch?v=Kkk-Nr5fOQg

Average Rating: 4.8/5.0

Total Reviews: 5

How Do G2 Users Rate GI Big Data?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 8.9/10 (Category avg: 8.8/10)
  • Machine Scaling: 9.2/10 (Category avg: 8.6/10)
  • Data Preparation: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind GI Big Data?

Who Uses This Product?

  • Company Size: 80% Small, 20% Medium

What Are Recent G2 Reviews of GI Big Data?

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Canner Enterprise Cloud

Canner Enterprise Cloud is a comprehensive cloud-based data access platform that provides secure, efficient, and intelligent access to data. Our cloud-based solution includes Data Virtualization, which eliminates the need for traditional data integration methods and enables real-time data access for informed decision-making. With Canner Enterprise Cloud, business users can easily access and explore data from their cloud applications, eliminating data silos and manual queries. Our platform also offers advanced access control features that allow users to easily define and manage user permissions based on their unique business context and persona, ensuring that only authorized users have access to sensitive data. Additionally, Canner Enterprise Cloud is flexible in deployment and can be deployed on AWS Cloud within a customer's cloud account, making it an ideal choice for data-sensitive enterprises. With extensive connectors and flexible licensing, our cloud-based solution is suited for medium to large enterprises, providing them with a faster, more secure, and cost-effective data access solution. By purchasing Canner's cloud version, businesses can enjoy the benefits of a flexible, scalable, and secure data access platform that is easily accessible from anywhere. The cloud version comes with an exclusive free trial, giving businesses the opportunity to try out the platform before committing. The self-serve software also allows businesses to take control of their data, creating a more efficient and streamlined data management process. With Canner's cloud version, businesses can take advantage of powerful features such as data virtualization, automated data management, data governance, and privacy protection, leading to greater efficiency and flexibility in their business processes.

Average Rating: 3.6/5.0

Total Reviews: 5

How Do G2 Users Rate Canner Enterprise Cloud?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 8.8/10 (Category avg: 8.8/10)
  • Machine Scaling: 7.9/10 (Category avg: 8.6/10)
  • Data Preparation: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Canner Enterprise Cloud?

  • Seller: Canner, Inc.
  • Year Founded: 2024
  • HQ Location: Palo Alto, US
  • Twitter: @cannerdata
    17 Twitter followers
  • LinkedIn® Page: linkedin.com
    17 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 60% Medium, 20% Large

What Are Recent G2 Reviews of Canner Enterprise Cloud?

Gathr.ai

Gathr.ai powers AI with complete data context for higher quality intelligence. With day-zero, high-fidelity data discourse, users can get data-backed answers to the ‘why’, ‘what-if’, and ‘how do I’ questions that drive business KPIs forward. This intelligence is delivered natively on top of the organization’s existing data estate — including data warehouses, databases, federated SQL engines, and operational systems. Leading businesses across industries also rely on Gathr.ai to build high-performance data pipelines, bespoke Data+AI solutions, and action-driven analytics experiences. Built for builders, Gathr.ai delivers agility, performance, and control. It snaps into the existing stack — integrating upstream and downstream systems with no extra plumbing. It gives developers starter-kit speed and full extension freedom.

Average Rating: 4.8/5.0

Total Reviews: 33

How Do G2 Users Rate Gathr.ai?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 10.0/10 (Category avg: 8.8/10)
  • Machine Scaling: 9.2/10 (Category avg: 8.6/10)
  • Data Preparation: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Gathr.ai?

  • Seller: Gathr.ai
  • Year Founded: 2022
  • HQ Location: Los Gatos, CA, US
  • LinkedIn® Page: www.linkedin.com
    46 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Associate Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 79% Medium, 21% Large

What Do G2 Reviewers Say About Gathr.ai?

AI-generated summary from verified user reviews

Pros
  • Users value the seamless integrations of Gathr.ai, enabling quick connections and streamlined data processing for analytics.
  • Users celebrate the user-friendly data management features of Gathr.ai, enabling quick insights and better data quality control.
  • Users appreciate the intuitive drag-and-drop interface of Gathr.ai, enabling quick and easy pipeline creation and integration.
  • Users appreciate the ease of use of Gathr.ai, making data processing quick and efficient with its intuitive interface.
  • Users love the easy integrations with Gathr.ai, enabling swift creation of complex data workflows and analytics.
Cons
  • Users note that access issues arise due to a lack of native connectors, complicating integration workflows.
  • Users report connection issues when configuring connectors for legacy systems, but support can offer timely solutions.
  • Users find the difficult setup of custom connectors a bit challenging, but it's not a major hindrance.
  • Users find the lack of real-time data hinders their ability to effectively monitor or improve pipeline performance.
  • Users find that performance optimization requires technical expertise and lacks visibility into real-time data transfer rates.

What Are Recent G2 Reviews of Gathr.ai?

IBM Analytics Engine

Build and deploy clusters within minutes with simplified user experience, scalability, and reliability. Custom configure the environment. Administer through multiple interfaces. Scale on demand.

Average Rating: 4.3/5.0

Total Reviews: 4

How Do G2 Users Rate IBM Analytics Engine?

  • Real-Time Data Collection: 8.3/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.3/10 (Category avg: 8.6/10)
  • Data Preparation: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind IBM Analytics Engine?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Company Size: 60% Medium, 40% Small

What Are Recent G2 Reviews of IBM Analytics Engine?

Megaladata

The low code Megaladata platform empowers business users by making advanced analytics accessible. - Visual design of complex data analysis models with no involvement of the IT department and no need for programming. - Over 60 ready-to-use processing components. - Easy integration with various sources. - Fast processing of large datasets achieved through in-memory computing and parallelism. - Reusable components that facilitate accumulation of business expertise. - Advanced visualization — OLAP cubes, tables, charts, and other specialized tools. Megaladata minimizes the time between hypothesis testing and a fully functional business process.

Average Rating: 4.9/5.0

Total Reviews: 9

How Do G2 Users Rate Megaladata?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Megaladata?

  • Seller: Megaladata
  • HQ Location: Neu-Isenburg, DE
  • Twitter: @megaladata_com
    5 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    9 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 89% Small, 11% Medium

What Are Recent G2 Reviews of Megaladata?

Alibaba MaxCompute

Alibaba MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing. MaxCompute supports various data importing solutions and distributed computing models, enabling users to effectively query massive datasets, reduce production costs, and ensure data security

Average Rating: 4.0/5.0

Total Reviews: 3

How Do G2 Users Rate Alibaba MaxCompute?

  • Has the product been a good partner in doing business?: 3.3/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 6.7/10 (Category avg: 8.8/10)
  • Machine Scaling: 7.5/10 (Category avg: 8.6/10)
  • Data Preparation: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Alibaba MaxCompute?

  • Seller: Alibaba
  • HQ Location: Hangzhou
  • Twitter: @alibaba_cloud
    1,189,812 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5,321 employees on LinkedIn®
  • Ownership: BABA
  • Total Revenue (USD mm): $509,711

Who Uses This Product?

  • Company Size: 33% Large, 33% Medium

What Do G2 Reviewers Say About Alibaba MaxCompute?

AI-generated summary from verified user reviews

Pros
  • Users value the robust security features of Alibaba MaxCompute, ensuring data confidentiality and integrity effectively.
  • Users value the cost-effective data storage of Alibaba MaxCompute, making it ideal for large datasets and complex queries.
  • Users praise large dataset handling in Alibaba MaxCompute, enabling efficient processing and analysis of petabytes of data.
  • Users highlight the excellent scalability and performance of Alibaba MaxCompute for processing large datasets efficiently.
  • Users value the scalability of Alibaba MaxCompute for handling petabytes of data efficiently as needs grow.
Cons
  • Users face challenges with debugging and monitoring workflows in MaxCompute, hindering their efficiency and ease of use.
  • Users find a steeper learning curve with MaxCompute, needing significant time to grasp its advanced features and tools.
  • Users face limited access due to MaxCompute's vendor lock-in and challenges with community support and resources.
  • Users express frustration with poor customer support, making it difficult to resolve issues and access timely assistance.
  • Users find limited real-time capabilities in MaxCompute, making it less suitable for analytics requiring quick processing.

What Are Recent G2 Reviews of Alibaba MaxCompute?

What Are G2 Users Discussing About Alibaba MaxCompute?

Apache Bahir

Apache Bahir provides extensions to multiple distributed analytic platforms, extending their reach with a diversity of streaming connectors and SQL data sources.

Average Rating: 4.8/5.0

Total Reviews: 3

How Do G2 Users Rate Apache Bahir?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 9.2/10 (Category avg: 8.8/10)
  • Machine Scaling: 9.2/10 (Category avg: 8.6/10)
  • Data Preparation: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Apache Bahir?

Who Uses This Product?

  • Company Size: 67% Medium, 33% Large

What Do G2 Reviewers Say About Apache Bahir?

AI-generated summary from verified user reviews

Pros
  • Users praise the data handling capabilities of Apache Bahir, finding it simplifies real-time data processing effectively.
  • Users find Apache Bahir's data integration capabilities invaluable for seamlessly connecting various big data tools and services.
  • Users appreciate the wide range of streaming capabilities in Apache Bahir, simplifying real-time data processing effectively.
  • Users find the easy integrations of Apache Bahir helpful for connecting various data sources effortlessly in big data projects.
  • Users appreciate the innovation of Apache Bahir for simplifying real-time data processing through its extensive streaming capabilities.
Cons
  • Users find the outdated interface of Apache Bahir to be a barrier to efficient usage and navigation.
  • Users often find the documentation sparse or outdated, making it challenging to use Apache Bahir effectively.

What Are Recent G2 Reviews of Apache Bahir?

What Are G2 Users Discussing About Apache Bahir?

Deep.BI

Deep.BI measures content consumption metrics and provides user engagement scoring to power publisher's content delivery, marketing tools and paywalls to grow, engage and retain audiences. Deep.BI collects all kinds of raw event data related to publishing, like reader’s behavior and content performance, and analyzes this data in real-time (sub-second latency between ingestion and data visualization). By collecting first-party raw data (no sampling & no aggregation), publishers get unprecedented flexibility in building their own metrics, reports, and different strategies for different kinds of content. This also allows publishers to quickly test hypotheses on both live and historical data. These dashboards and reports are shareable and customizable across teams making the workload on the analysts much lighter and gives them the ability to deliver what they want to deliver in the way they want and in lightning speeds!

Average Rating: 4.4/5.0

Total Reviews: 10

How Do G2 Users Rate Deep.BI?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 9.2/10 (Category avg: 8.8/10)
  • Machine Scaling: 6.7/10 (Category avg: 8.6/10)
  • Data Preparation: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Deep.BI?

  • Seller: Deep.BI
  • Year Founded: 2016
  • HQ Location: San Francisco, California
  • Twitter: @_DeepBI
    962 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    19 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 40% Medium

What Do G2 Reviewers Say About Deep.BI?

AI-generated summary from verified user reviews

Pros
  • Users value the real-time actionable insights from Deep.BI, enhancing their ability to make informed business decisions.
  • Users value the real-time actionable insights from Deep.BI, enhancing their understanding of customer interactions and preferences.
  • Users value the real-time actionable insights from Deep.BI, enabling quick and informed decision-making for their businesses.
  • Users value the real-time actionable insights from Deep.BI, enhancing understanding of customer interactions and choices.
  • Users find Deep.BI's automation capabilities incredibly useful for efficiently processing large datasets and creating insightful dashboards.
Cons
  • Users find the coding difficulty in Deep.BI challenging, which can hinder their overall experience.
  • Users find the interface confusing, making it challenging for non-technical users to navigate effectively.
  • Users find the UI/UX not intuitive for layman users, causing difficulties in navigating the platform.
  • Users find the UI/UX design lacking, making it challenging for non-expert users to navigate effectively.
  • Users feel the UI design is poor, making it difficult for non-tech savvy individuals to navigate Deep.BI.

What Are Recent G2 Reviews of Deep.BI?

What Are G2 Users Discussing About Deep.BI?

Kafka and Zookeeper Clusters on Windows Powered by GlobalSolutions

Kafka and Zookeeper Clusters on Windows by GlobalSolutions is a pre-configured Amazon Machine Image (AMI) that enables users to deploy Apache Kafka and Zookeeper clusters on Windows Server 2019 with minimal setup. This solution is designed to facilitate the development and management of large-scale, real-time data streaming applications by providing a fault-tolerant messaging system with high throughput and inherent partitioning capabilities. Key Features and Functionality: - Pre-configured Deployment: The AMI comes with Apache Kafka and Zookeeper clusters pre-installed and configured, eliminating the need for manual setup and reducing deployment time. - High Availability: By packaging Kafka and Zookeeper as clusters, the solution enhances the resiliency and availability of the services, ensuring continuous data streaming operations. - Scalability: The inherent partitioning and replication features of Kafka allow for seamless scaling to accommodate large-scale message processing applications. - Windows Server Compatibility: Designed to run on Windows Server 2019, this solution caters to users who prefer or require a Windows-based environment for their applications. Primary Value and Problem Solved: This product addresses the complexities associated with setting up and managing Apache Kafka and Zookeeper clusters by providing a ready-to-use solution on the AWS Marketplace. Users can quickly subscribe to the offering, create topics, and start publishing and consuming messages without the overhead of manual configuration. This streamlined approach allows developers and organizations to focus on building and deploying real-time data streaming applications efficiently, leveraging the fault-tolerant and high-throughput capabilities of Kafka on a Windows platform.

Average Rating: 4.3/5.0

Total Reviews: 3

How Do G2 Users Rate Kafka and Zookeeper Clusters on Windows Powered by GlobalSolutions?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 10.0/10 (Category avg: 8.8/10)
  • Machine Scaling: 9.2/10 (Category avg: 8.6/10)
  • Data Preparation: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Kafka and Zookeeper Clusters on Windows Powered by GlobalSolutions?

Who Uses This Product?

  • Company Size: 50% Large, 25% Medium

What Are Recent G2 Reviews of Kafka and Zookeeper Clusters on Windows Powered by GlobalSolutions?

What Are G2 Users Discussing About Kafka and Zookeeper Clusters on Windows Powered by GlobalSolutions?

Lenses

Lenses is the Developer Experience for enterprises to work with every Apache Kafka-based technology, in one place. Trusted by Europcar, Adidas, Daimler and Kandji, Lenses simplifies data streaming across hybrid and multi-cloud environments, giving engineers the autonomy to explore, integrate, and govern data -- and modernize their applications with ease: - Efficiently find, explore, process, integrate and govern streams with a data catalog, SQL studio and SQL stream processors - Confidently share, migrate and back up data streams across any cloud or environment with the Kafka to Kafka replicator - Lenses K2K - Reduce the manual burden of Kafka operations with Lenses AI Agents. Product Website www.lenses.io

Average Rating: 4.2/5.0

Total Reviews: 17

How Do G2 Users Rate Lenses?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.8/10)

Who Is the Company Behind Lenses?

  • Seller: Lenses.io Ltd
  • Company Website:
  • Year Founded: 2016
  • HQ Location: London, England
  • Twitter: @lensesio
    732 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    33 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 47% Large, 35% Medium

What Do G2 Reviewers Say About Lenses?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Lenses, finding it simplifies data visualization and stream management.
  • Users appreciate the simple and effective user interface of Lenses, making navigation and work enjoyable.
  • Users value the user-friendly interface of Lenses, appreciating its clear visualization and SQL querying for Kafka resources.
  • Users appreciate the intuitive design of Lenses, enhancing their productivity and making Kafka more accessible.
  • Users appreciate the dependable data management of Lenses, finding it simple and effective for their workflow.
Cons
  • Users are concerned about feature limitations leading to potential vendor lock-in and limited future flexibility.
  • Users express concern over the risk of vendor lock-in and stagnant development, limiting future flexibility and improvements.
  • Users feel that limited access to features leads to vendor lock-in, affecting flexibility and future interoperability.
  • Users find Lenses lacking essential features and improvements, resulting in a stagnant user experience over the years.
  • Users express concern over the product maturity of Lenses, citing unresolved bugs and a lack of documentation and innovation.

What Are Recent G2 Reviews of Lenses?

Pentaho Data Integration

More than just ETL (Extract, Transform, Load), Pentaho Data Integration is a codeless data orchestration tool that blends diverse data sets into a single source of truth as a basis for analysis and reporting. Effortlessly managed in a drag-and-drop graphical interface, so you can easily track where it's coming from, where it's going and how it's transforming. Develop and maintain pipeline efficiency Scalability, simplicity, and self-service Leverage quality and lineage inputs for enhanced data observability and management

Average Rating: 4.3/5.0

Total Reviews: 17

How Do G2 Users Rate Pentaho Data Integration?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.8/10)

Who Is the Company Behind Pentaho Data Integration?

  • Seller: Pentaho
  • Year Founded: 2004
  • HQ Location: Santa Clara, CA
  • LinkedIn® Page: www.linkedin.com
    159 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 41% Large, 41% Medium

What Do G2 Reviewers Say About Pentaho Data Integration?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the user-friendly interface and extensive functionalities of Pentaho Data Integration for seamless data management.
  • Users appreciate the API integration capabilities of Pentaho Data Integration for seamless data transfer and reporting.
  • Users appreciate the fast data transfer and versatile connections offered by Pentaho Data Integration for seamless ETL processes.
  • Users value the efficient communication of Pentaho Data Integration, facilitating swift data transfer and reporting.
  • Users appreciate the seamless connectivity of Pentaho Data Integration, enabling swift data transfers from various sources.
Cons
  • Users experience performance issues with Pentaho Data Integration, especially when handling large data volumes, leading to slow modifications.
  • Users find the learning curve steep, with job modifications being time-consuming and lacking sufficient tutorials.
  • Users experience performance issues with Pentaho Data Integration when handling large data volumes, impacting efficiency.
  • Users find modifying jobs slow in Pentaho Data Integration, which hampers efficiency and requires additional tutorials.
  • Users find the slow performance in modifying jobs frustrating, wishing for a faster experience with additional tutorials.

What Are Recent G2 Reviews of Pentaho Data Integration?

PHEMI Health DataLab

The PHEMI Trustworthy Health DataLab is a unique, cloud-based, integrated big data management system that allows healthcare organizations to enhance innovation and generate value from healthcare data by simplifying the ingestion and de-identification of data with NSA/military-grade governance, privacy, and security built-in. Conventional products simply lock down data, PHEMI goes further, solving privacy and security challenges and addressing the urgent need to secure, govern, curate, and control access to privacy-sensitive personal healthcare information (PHI). This improves data sharing and collaboration inside and outside of an enterprise—without compromising the privacy of sensitive information or increasing administrative burden. Built on privacy-by-design principles, the software gives researchers, scientists, and clinicians faster access to more information while ensuring that they only see data on a need-to-know basis. Responsible data sharing and a governance framework facilitate compliance with privacy regulations. PHEMI Trustworthy Health DataLab can scale to any size of organization, is easy to deploy and manage, connects to hundreds of data sources, and integrates with popular data science and business analysis tools. For more information, visit https://www.phemi.com/ and follow us on Twitter @PHEMISystems, Linkedin, Youtube, and Facebook

Average Rating: 3.9/5.0

Total Reviews: 6

How Do G2 Users Rate PHEMI Health DataLab?

  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 10.0/10 (Category avg: 8.8/10)
  • Machine Scaling: 8.3/10 (Category avg: 8.6/10)
  • Data Preparation: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind PHEMI Health DataLab?

  • Seller: PHEMI Systems
  • Year Founded: 2013
  • HQ Location: Vancouver, CA
  • Twitter: @PHEMIsystems
    744 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 33% Large

What Are Recent G2 Reviews of PHEMI Health DataLab?

What Are G2 Users Discussing About PHEMI Health DataLab?

Prefect

Prefect is a workflow automation platform for building and running reliable data and AI workflows, with durable execution built in.

Average Rating: 4.5/5.0

Total Reviews: 124

How Do G2 Users Rate Prefect?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.8/10)
  • Real-Time Data Collection: 9.2/10 (Category avg: 8.8/10)
  • Machine Scaling: 10.0/10 (Category avg: 8.6/10)
  • Data Preparation: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Prefect?

  • Seller: Prefect
  • Year Founded: 2018
  • HQ Location: Washington, US
  • Twitter: @PrefectIO
    6,804 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    158 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 42% Small, 42% Medium

What Do G2 Reviewers Say About Prefect?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use in Prefect incredibly beneficial for orchestration, testing, and debugging flows effectively.
  • Users value the ease of flow orchestration with Prefect, appreciating its integration capabilities and cost-effectiveness.
  • Users value Prefect for its affordability and seamless integration with various platforms like Databricks and Snowflake.
  • Users appreciate the cost efficiency of Prefect, finding it to be a top orchestration tool for integrations.
  • Users value the seamless data integration capabilities of Prefect, enabling smooth connections with various platforms like Databricks and Snowflake.
Cons
  • Users feel that missing features in Prefect make large-scale runs challenging and require unnecessary workarounds.
  • Users find automation limitations in Prefect, as it struggles with large runs and lacks essential out-of-the-box features.
  • Users find complex learning requirements for Prefect, especially needing Python knowledge compared to Airflow's features.
  • Users find the learning curve steep for Prefect due to required Python knowledge and fewer features compared to Airflow.
  • Users find Prefect has limited features compared to Airflow, necessitating additional Python knowledge for effective use.

What Are Recent G2 Reviews of Prefect?

What Are G2 Users Discussing About Prefect?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated October 3, 2024