Dataiku vs Vertica

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Our analysts compared Dataiku vs Vertica based on data from our 400+ point analysis of Big Data Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

Vertica Software Tool

Product Basics

Dataiku is a powerful data analytics platform designed to empower organizations with data-driven insights and machine learning capabilities. It offers a comprehensive suite of features, including data integration, preparation, and advanced machine learning, all within a user-friendly interface. Dataiku facilitates collaboration among data professionals and business users, streamlining the data analytics process. Its AutoML capabilities simplify machine learning model development, making it accessible to users with varying levels of expertise. Real-time insights and scalability are key benefits, allowing organizations to make timely decisions and adapt to changing data requirements. Despite some learning curve challenges, Dataiku remains a favored choice for medium and large businesses seeking robust data analytics solutions.
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Vertica is an analytics and data exploration platform designed to ingest massive quantities of data, parse it, and then return business insights as reports and interactive graphics. Elastically scalable, it provides batch as well as streaming analytics with massively parallel processing, ANSI-compliant SQL querying and ACID transactions.

Deployable in the cloud, on-premise, on Apache Hadoop and as a hybrid model, its resource manager enables concurrent job runs with reduced CPU and memory usage and data compression for storage optimization. A serverless setup and advanced data trawling techniques help users store and access their data with ease.
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$4,000 Monthly
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$3.19/Hour, Usage-Based
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Product Insights

  • Advanced Data Preparation: Dataiku offers powerful data preparation tools, allowing users to clean, transform, and enrich data easily. This ensures that data is ready for analysis and modeling.
  • Collaborative Environment: Dataiku provides a collaborative workspace where data scientists, analysts, and business users can work together seamlessly, fostering cross-functional teamwork.
  • Scalable Machine Learning: With Dataiku, organizations can build, deploy, and monitor machine learning models at scale. This empowers data-driven decision-making across the enterprise.
  • AutoML Capabilities: Dataiku's AutoML functionality automates the model selection and hyperparameter tuning process, making it easier for users to create accurate machine learning models.
  • Visual Data Exploration: Users can visually explore data, gaining valuable insights through interactive charts and graphs, simplifying the process of uncovering trends and patterns.
  • Model Deployment: Dataiku streamlines the deployment of machine learning models into production, ensuring that insights generated from data are put into action efficiently.
  • Data Governance: Dataiku offers robust data governance features, including data lineage, access controls, and auditing, to maintain data quality and compliance.
  • Automated Reporting: Users can create automated reports and dashboards to share insights with stakeholders, saving time and ensuring data-driven decisions are accessible to all.
  • Flexible Integration: Dataiku seamlessly integrates with a variety of data sources and tools, making it adaptable to existing data ecosystems and technologies.
  • Interpretable AI: Dataiku places a strong emphasis on model explainability, helping users understand why AI models make specific predictions, enhancing trust and transparency.
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  • Improve Decision Making: Get business insights like workforce metrics, retail information, vital proprietary intel and usage data through data ingestion from diverse sources. Its high-level overview of diverse data pools empowers data-driven business decisions. 
  • Self-Service Analytics:  Provide self-service reporting and analysis for users of all skill levels — from non-technical users to analysts — at a more sophisticated level, using custom formulas and algorithms. 
  • Big Data Insights: Get intel and insights through large data silos to enrich business decisions and diagnose pain points or attach victories to actionable data. 
  • Gain a Competitive Advantage: Take on competitors and optimize business operations through data-informed decision-making. 
  • Flexible Licensing: Buy the product outright, purchase a subscription or pay by the hour with its flexible licensing. Hourly usage comes with full support and requires no commitment. 
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  • Data Integration: Dataiku offers seamless data integration capabilities, allowing users to connect to various data sources, import data, and prepare it for analysis.
  • Machine Learning Studio: Users can build, train, and deploy machine learning models in a user-friendly visual interface, streamlining the data science workflow.
  • Data Preparation: Dataiku provides robust data preparation tools, enabling users to clean, transform, and enrich data efficiently for analysis.
  • AutoML: The AutoML functionality automates model selection and hyperparameter tuning, simplifying the process of creating accurate machine learning models.
  • Collaboration Hub: Dataiku offers a collaborative environment where data scientists, analysts, and business users can work together on data projects.
  • Model Deployment: Users can easily deploy machine learning models into production, ensuring that insights generated from data are put into action.
  • Visual Data Exploration: Dataiku enables users to visually explore data through interactive charts and graphs, facilitating data discovery and insights.
  • Data Governance: The platform includes robust data governance features, such as data lineage, access controls, and auditing, ensuring data quality and compliance.
  • Automated Reporting: Users can create automated reports and dashboards to share insights with stakeholders, streamlining communication.
  • Scalability: Dataiku is designed to scale with an organization's data needs, making it suitable for both small teams and large enterprises.
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  • Streaming Analytics: Connects to Apache Kafka for IoT data analysis in real time. Analyzes and manages large volumes of data from IoT devices such as machine and sensor data for buildings, vehicles, medical systems, smart devices and wearables. 
  • Machine Learning: Get automated insights and deliverables through machine learning modules that automatically digest and parse large data portions. ML modules are built into its core — no need to pay for them or install them separately. 
  • Software Only: Work with a robust software interface with dedicated IT resources. All data warehousing, storage and processing infrastructure is hosted offsite. 
  • Fast SQL Databases: Store and retrieve data through highly scalable and speedy SQL databases. 
  • Massively Parallel Processing: Get increased speed and scalability at larger scales by running two processes side-by-side through massively parallel processing. 
  • Columnar Storage: Read only the most important sets of data first through columnar storage that greatly speeds up data retrieval. 
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Product Ranking

#26

among all
Big Data Analytics Tools

#31

among all
Big Data Analytics Tools

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Analyst Rating Summary

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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

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Augmented Analytics Computer Vision And Internet Of Things (IoT) Dashboarding And Data Visualization Data Management Data Preparation Geospatial Visualizations And Analysis Machine Learning Mobile Capabilities Platform Capabilities Reporting 96 84 98 100 71 98 0 96 0 25 50 75 100
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User Sentiment Summary

Excellent User Sentiment 7 reviews
Great User Sentiment 203 reviews
91%
of users recommend this product

Dataiku has a 'excellent' User Satisfaction Rating of 91% when considering 7 user reviews from 1 recognized software review sites.

88%
of users recommend this product

Vertica has a 'great' User Satisfaction Rating of 88% when considering 203 user reviews from 3 recognized software review sites.

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4.5 (108)
4.57 (7)
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4.3 (65)
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4.2 (30)

Awards

SelectHub research analysts have evaluated Dataiku and concluded it earns best-in-class honors for Augmented Analytics. Dataiku stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award
Augmented Analytics Award

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Synopsis of User Ratings and Reviews

Comprehensive Feature Set: Users appreciate Dataiku's wide range of features, from data preparation to advanced machine learning, enabling end-to-end data analytics.
Intuitive Interface: Dataiku's user-friendly interface receives praise for its ease of use, making it accessible to both data professionals and business users.
Effective Collaboration: Many users find Dataiku's collaborative environment conducive to teamwork, facilitating cross-functional collaboration on data projects.
Scalability: Dataiku's scalability is highly regarded, making it suitable for small teams and large enterprises, adapting to evolving data requirements.
AutoML Capabilities: Users value Dataiku's AutoML functionality, which simplifies machine learning, making it accessible to users with varying levels of expertise.
Real-Time Insights: Dataiku's ability to provide real-time insights is a significant benefit, enabling timely decision-making based on up-to-date data.
Data Governance: Dataiku's robust data governance features are highly regarded, helping maintain data quality and ensuring compliance with regulations.
Community and Support: Users appreciate the Dataiku community and support resources, which provide valuable assistance and guidance.
Integration Capabilities: Many users highlight Dataiku's seamless integration with other tools and systems, enhancing their data workflows.
Transparency and Explainability: Dataiku's focus on model transparency and explainability is praised, enhancing trust in machine learning models.
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Data Processing: All users who mention computing say that the tool’s columnar storage and parallel processing enable faster querying.
Performance: Almost 72% of the users who review performance say the platform is robust and reliable with high availability.
Functionality: Around 56% of the users who review functionality say that it is feature-rich and performs as expected.
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Steep Learning Curve: Some users find Dataiku's learning curve to be relatively steep, particularly for those new to data science and machine learning.
Resource Intensive: Running complex operations and large-scale data processing in Dataiku can be resource-intensive, potentially requiring substantial computing power.
Costly Licensing: The cost of Dataiku's licensing can be a concern for small organizations or startups with limited budgets.
Limited Free Version: The free community edition of Dataiku has limitations in terms of features and scalability, which may not meet the needs of larger enterprises.
Integration Challenges: Some users encounter challenges when integrating Dataiku with certain legacy systems or non-standard data sources, requiring additional effort and customization.
Dependency on Data Quality: The effectiveness of Dataiku's analysis and modeling heavily relies on the quality of input data, which can be a challenge if data is not well-maintained.
Customization Complexity: Highly customized data workflows may require a deeper understanding of the platform, potentially making customization more complex.
Real-Time Processing: Dataiku may not be the ideal choice for applications requiring real-time data processing, as it primarily focuses on batch processing.
Competitive Market: Dataiku operates in a competitive market with various alternatives, making it essential for users to evaluate if it aligns with their specific needs and budget.
Security Concerns: While Dataiku offers security features, organizations handling highly sensitive data may need additional security measures to meet compliance standards.
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Cost: All users who mention cost say that data storage limits can be restrictive and the tool is expensive.
Community Support: Citing lack of technical community support, approximately 50% of the users say that it makes adoption difficult.
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User reviews for Dataiku reveal a mixed sentiment, with notable strengths and weaknesses. Users appreciate Dataiku's comprehensive feature set, user-friendly interface, and its effectiveness in facilitating collaboration among diverse teams. Scalability is another advantage, making it suitable for various organizational sizes. AutoML capabilities and real-time insights are well-received for their accessibility and timeliness. However, several users express concerns about a steep learning curve, especially for newcomers to data science. The platform's resource-intensive nature can be challenging, and the cost of licensing may be a barrier for smaller organizations. Some users find limitations in the free community edition and face integration challenges with legacy systems or non-standard data sources. Data quality dependency and customization complexity are other reported cons. Dataiku is often compared to similar products in a competitive market, and users stress the importance of evaluating it against specific needs and budgets. Security-conscious organizations may need additional measures when handling sensitive data. Despite its limitations, Dataiku maintains a strong user base due to its robust feature set and collaborative capabilities, enabling data-driven decision-making in various industries.

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Vertica Analytics is a big data relational database that provides batch as well as streaming analytics to enterprises. Citing a robust, distributed architecture with massively parallel processing (MPP), all users who review data processing say that it performs extremely fast computing with I/O optimization, and columnar storage makes it ideal for reporting. Approximately 72% of the users who review performance say that it is a reliable tool with high availability and virtually no downtime, with K-safety protocol in place for efficient fault tolerance. Citing its feature set, around 56% of the users say that they are satisfied with its elastic scalability, rich analytical functions and excellent clustering technology. On the flip side, almost 50% of the users who mention technical and community support say that it is inadequate and possibly contributes to the platform’s steep learning curve. All users who review its cost say that the solution is expensive, with restrictive data storage limits. In summary, Vertica is a big data and analytics platform that provides streaming analytics with lightning-fast query speeds, machine learning and forecast capabilities.

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