Vertica vs Azure Synapse Analytics

Last Updated:

Our analysts compared Vertica vs Azure Synapse Analytics 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
Azure Synapse Analytics Software Tool

Product Basics

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.
read more...
Microsoft Azure Synapse Analytics is a comprehensive cloud-based analytics service designed to empower organizations with robust data warehousing and data analytics capabilities. It seamlessly integrates data warehousing and big data analytics, enabling users to ingest, prepare, manage, and serve data for immediate business insights. Key features include scalable resources, real-time analytics, machine learning integration, and a collaborative workspace for data professionals. Azure Synapse Analytics offers benefits such as improved scalability, enhanced data security, and simplified data integration. It's particularly valuable for organizations looking to harness the power of data to make informed decisions and gain a competitive edge in today's data-driven landscape.
read more...
$3.19/Hour, Usage-Based
Get a free price quote
Tailored to your specific needs
$1.25/Hour, Usage-Based
Get a free price quote
Tailored to your specific needs
Small 
i
Medium 
i
Large 
i
Small 
i
Medium 
i
Large 
i
Windows
Mac
Linux
Android
Chromebook
Windows
Mac
Linux
Android
Chromebook
Cloud
On-Premise
Mobile
Cloud
On-Premise
Mobile

Product Assistance

Documentation
In Person
Live Online
Videos
Webinars
Documentation
In Person
Live Online
Videos
Webinars
Email
Phone
Chat
FAQ
Forum
Knowledge Base
24/7 Live Support
Email
Phone
Chat
FAQ
Forum
Knowledge Base
24/7 Live Support

Product Insights

  • 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. 
read more...
  • Scalability: Azure Synapse Analytics offers scalable data warehousing, allowing organizations to easily adjust resources to meet their specific needs. This scalability ensures optimal performance and cost-efficiency.
  • Unified Analytics: With Azure Synapse Analytics, users can seamlessly integrate data analytics and data warehousing. This unified approach simplifies data management, analytics, and reporting, leading to faster insights and smarter decision-making.
  • Advanced Security: Security is a top priority in Azure Synapse Analytics. It provides robust security features, including data encryption, authentication, and role-based access control, ensuring that sensitive data remains protected.
  • Data Integration: This platform offers powerful data integration capabilities, allowing users to easily ingest, transform, and load data from various sources. It supports a wide range of data formats and connectors, facilitating seamless data integration workflows.
  • Optimized Performance: Azure Synapse Analytics leverages intelligent caching and query optimization to deliver exceptional query performance. Users can run complex queries on large datasets quickly and efficiently.
  • Real-time Analytics: Organizations can harness real-time data analytics with Azure Synapse Analytics. It supports streaming data, enabling businesses to gain insights from live data streams and make timely decisions.
  • Cost Management: With cost controls and optimization features, Azure Synapse Analytics helps organizations manage their data warehouse expenses effectively. Users can pause and resume resources as needed to control costs.
  • Integration with Azure Ecosystem: Azure Synapse Analytics seamlessly integrates with other Azure services, such as Azure Data Lake Storage and Azure Machine Learning. This integration enables organizations to build end-to-end data solutions within the Azure ecosystem.
  • AI and Machine Learning: Leveraging Azure's AI and machine learning capabilities, Synapse Analytics allows users to build and deploy advanced analytics models, unlocking valuable insights from their data.
  • Global Reach: Azure Synapse Analytics is available in multiple Azure regions worldwide, providing global accessibility and low-latency data processing for organizations with international operations.
read more...
  • 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. 
read more...
  • Data Warehousing: Azure Synapse Analytics offers a robust data warehousing solution, allowing organizations to store and manage large volumes of structured and unstructured data efficiently.
  • Analytics Workspace: It provides an integrated analytics workspace for data engineers, data scientists, and analysts to collaborate, explore data, and build advanced analytics models.
  • On-Demand Query Processing: Users can run on-demand queries to extract insights from their data in real-time, without the need for predefined structures or complex ETL processes.
  • Data Integration: Synapse Analytics supports data integration from a variety of sources, enabling users to ingest, transform, and load data with ease.
  • Auto-scaling: The platform offers auto-scaling capabilities, automatically adjusting resources to handle varying workloads, ensuring optimal performance and cost-effectiveness.
  • Security and Compliance: Azure Synapse Analytics includes robust security features, such as encryption, authentication, and access control, to protect sensitive data and maintain compliance with industry regulations.
  • Intelligent Caching: It employs intelligent caching to speed up query performance, reducing latency and enhancing overall data processing efficiency.
  • Real-time Analytics: Users can analyze streaming data in real-time, enabling timely insights and the ability to respond to changing conditions swiftly.
  • Machine Learning Integration: Synapse Analytics seamlessly integrates with Azure Machine Learning, allowing organizations to build, train, and deploy machine learning models for advanced predictive analytics.
  • Collaborative Workspace: It provides a collaborative workspace for teams to collaborate on data projects, facilitating efficient data exploration and analysis.
  • Serverless SQL Pools: Azure Synapse Analytics offers serverless SQL pools, enabling users to query data stored in data lakes without the need for provisioning dedicated resources.
read more...

Product Ranking

#31

among all
Big Data Analytics Tools

#40

among all
Big Data Analytics Tools

Find out who the leaders are

Analyst Rating Summary

we're gathering data
78
we're gathering data
54
we're gathering data
63
we're gathering data
93
Show More Show More

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Vertica
Azure Synapse Analytics
+ Add Product + Add Product
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 54 63 93 93 78 75 0 57 0 25 50 75 100
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
4%
83%
13%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
13%
75%
12%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
88%
13%
-1%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
86%
0%
14%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
90%
10%
0%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
71%
14%
15%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
43%
53%
4%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
0%
0%
100%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
100%
0%
0%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
14%
71%
15%

Analyst Ratings for Technical Requirements Customize This Data Customize This Data

we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
100%
0%
0%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
89%
0%
11%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
100%
0%
0%

User Sentiment Summary

Great User Sentiment 203 reviews
we're gathering data
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.

we're gathering data
4.5 (108)
n/a
4.3 (65)
n/a
4.2 (30)
n/a

Synopsis of User Ratings and Reviews

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.
Show more
Scalability: Azure Synapse Analytics is praised for its ability to seamlessly scale resources to handle growing data volumes and complex workloads.
Integration: Users appreciate the tight integration with other Azure services, making it easy to build end-to-end data solutions within the Azure ecosystem.
Real-time Insights: The platform's support for real-time data analytics enables users to gain timely insights from streaming data sources, improving decision-making.
Data Security: Azure Synapse Analytics is lauded for its robust security features, including encryption and access controls, ensuring data privacy and compliance.
Data Integration: Users find it user-friendly for integrating data from various sources, simplifying data preparation and analysis.
Performance Optimization: The platform's query optimization and caching mechanisms enhance query performance, even with complex analytical workloads.
Collaboration: Its collaborative workspace fosters teamwork among data professionals, improving productivity and knowledge sharing.
Machine Learning Capabilities: Users appreciate the integration with Azure Machine Learning, allowing them to leverage AI and machine learning for advanced analytics.
Cost Management: Azure Synapse Analytics offers cost-control features that help users manage their data analytics expenses effectively, ensuring cost-efficiency.
Global Reach: Its availability in multiple Azure regions ensures global accessibility and low-latency data processing for organizations with international operations.
Show more
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.
Show more
Cost Complexity: Some users find managing costs in Azure Synapse Analytics complex, as resource scaling and query optimization may require careful monitoring to avoid unexpected expenses.
Learning Curve: There's a learning curve associated with the platform, especially for users new to Azure services, which can slow down initial adoption and implementation.
Data Volume Challenges: Handling extremely large data volumes can be challenging and may require additional resources, impacting overall cost-effectiveness.
Integration Complexity: While Azure Synapse Analytics integrates well with Azure services, some users have reported challenges when integrating with external systems, which may require custom solutions.
Resource Scaling Time: Scaling resources up or down can take time, affecting immediate query performance during resource adjustments.
Storage Costs: Users have noted that storing data in Azure Data Lake Storage, a common practice, can add to overall costs that need to be carefully managed.
Complex Queries: Executing complex queries may lead to longer processing times and higher resource consumption, impacting query performance and costs.
Resource Provisioning: Some users have experienced challenges when provisioning resources, requiring careful planning and allocation.
Offline Work Limitations: Certain features may require an active internet connection, limiting offline work capabilities, which could be a drawback in specific scenarios.
Support: A few users have reported concerns about the level of support provided, particularly for resolving complex technical issues.
Show more

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.

Show more

User reviews for Microsoft Azure Synapse Analytics generally highlight its strengths in scalability, integration, and real-time analytics. Many users appreciate its ability to seamlessly scale resources and integrate with other Azure services, simplifying end-to-end data solutions. The support for real-time data analytics also receives positive feedback for enabling timely decision-making. However, some users note challenges associated with cost management, citing complexity in monitoring and controlling expenses. There's a learning curve for newcomers, which can slow down initial implementation. Handling large data volumes and complex queries may require extra resources and careful optimization. Integration with external systems can be complex, and resource scaling may impact query performance temporarily. In comparison to similar products, users find Azure Synapse Analytics competitive due to its tight integration within the Azure ecosystem and its machine learning capabilities. Despite some limitations, it is viewed favorably for its potential to deliver scalable, real-time insights and drive data-driven decision-making within organizations.

Show more

Screenshots

we're gathering data

Top Alternatives in Big Data Analytics Tools


Alteryx

Azure Synapse Analytics

Dataiku

H2O.ai

IBM Watson Studio

KNIME

Looker Studio

Oracle Analytics Cloud

Qlik Sense

RapidMiner

SageMaker

SAP Analytics Cloud

SAS Viya

Spotfire

Tableau

WE DISTILL IT INTO REAL REQUIREMENTS, COMPARISON REPORTS, PRICE GUIDES and more...

Compare products
Comparison Report
Just drag this link to the bookmark bar.
?
Table settings