SAS Viya vs DBSync

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Our analysts compared SAS Viya vs DBSync 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.

DBSync Software Tool

Product Basics

SAS Viya is a cloud-based in-memory analytics engine that provides data visualization, reporting and analytics to businesses for actionable data insights. Powered by AI, it brings together visual analytics, visual statistics and data science for enterprises to achieve end-to-end self-service analytics. It uses a standardized code base with support for programming in R, Python, SAS, Java and Lua.

Deployable in the cloud, on-premises and hybrid environments, it integrates with a wide range of business applications through an agile, scalable architecture. The vendor offers an introductory 30-day free trial.

Pros
  • Comprehensive features
  • Powerful analytics capabilities
  • User-friendly interface
  • Scalable architecture
  • Strong support from SAS
Cons
  • Steep learning curve
  • Limited customization options
  • High cost of ownership
  • Potential vendor lock-in
  • Resource-intensive
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DBSync is an integration Platform-as-a-Service (iPaaS) that provides bi-directional data synchronization, migration and replication to enterprises. It enables businesses to connect to any combination of SaaS, cloud and on-premise applications and databases. It empowers companies to build warehouses for reporting and data mining. Its powerful integration engine offers scheduling, logging and transformation to streamline data management.

Easily accessible from any device, it can be deployed in the cloud, on-premises or as a hybrid. In addition to its free Standard version, the vendor also offers paid pricing plans.
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$10,000 Annual
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Tailored to your specific needs
$480 Annually, Freemium
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Tailored to your specific needs
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Product Assistance

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Knowledge Base
24/7 Live Support
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Product Insights

  • Improve Decision-Making: Make informed business decisions by using historical and current proprietary information to derive analytical insights. Compute vast amounts of data faster and resolve complexities through parallel processing. Boost workflow efficiencies by deploying operational decisions that define real-time best actions at scale. 
  • Self-Service Analytics: Easily perform automated forecasting, goal-seeking and scenario analysis — no technical skills needed. Identify user sentiment through text analytics and incorporate geographical data for a complete picture of business metrics. 
  • Maximize ROI: Save time through built-in automation for data prep, feature engineering, algorithm selection and AI-powered data discovery. Innovate, rather than spending time on tedious data management and analytics tasks. 
  • Data Security: Ensure data encryption at rest and while moving across systems, in addition to auditing protocols. Connect to external data management systems like Oracle, Teradata, Facebook, Amazon and Esri seamlessly through Kerberos, SAML, OAuth and OpenID. 
  • Data Management: Import data by using an IDE or through REST APIs, and visualize and analyze it through self-service data prep. Join tables, apply functions and perform calculations, or drag-and-drop, pivot, and slice and dice to view desired metrics. 
  • Augmented Analytics: Identify relationships in data through automatically generated suggestions and guided analysis, and track anomalies and outliers. Tell data stories by generating easy-to-understand visuals and dashboard summaries in natural language. Derive meaningful insights for the future by creating what-if scenarios for forecasting and predictive analytics. 
  • Mobility: Access business reports on the go through a native mobile app that supports a variety of charts, graphs and tables. Configure app functionality per device for specific users to add and view reports, share links, add and view comments and view alerts. 
  • Scalable Architecture: Leverage its modular microservices architecture to scale as per business needs. Monitor and manage the health and configuration of individual microservices instances through the SAS Environment Manager. Deploys seamlessly to any type of environment, including the cloud, and runs on Cloud Foundry as a platform-as-a-service (PaaS). 
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  • Data Backups: Automate daily data backups including metadata schema, layouts and more. Restore data from any point in time and receive email notifications for backup and restore events. 
  • Data Replication: Create tailored datasets for business intelligence and reporting. Ingest, replicate, synchronize and consolidate data from popular databases like SQL Server, MySQL, PostGresSQL, Oracle, IBM Db2. 
  • Web-Based: Web and mobile responsive for on-the-go access to business data. 
  • Data Security and Compliance: Secure data at rest through 256-bit AES encryption. Complies with FINRA, SOX, CCAP, GDPR and HIPAA regulations. 
  • Integrations: Run integrations with accounting systems, CRMs and databases on AWS, proprietary infrastructure or any cloud provider. Its integration engine provides scheduling, logging, transformation, rule execution and more. 
  • Free Trial: Try it hands-on with a 14-day free trial. 
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  • Visualization and Reporting: Dig into data for in-depth analysis and view key business metrics through autonomous data exploration and manipulation. Create and customize interactive reports and charts to share with others across the organization for collaborative insight. Get suggestions on graphics best suited to display pertinent data through auto charting. 
  • Data Modeling: Analyze data with predictive models through regression, clustering and neural networks. Ensure version control by tracking data models from creation through usage by registering, validating and monitoring each version. Creates snapshots of model properties and files and retains them for the future. 
  • Visual Statistics: Build diverse scenarios simultaneously and refine them with what-if analyses to uncover insights through experimentation. Unifies all business tools, irrespective of the language they support, into a common visual analytics solution. 
  • Cloud Integrations: Develop low-code technologies by porting SAS open-source models into mobile and business applications through its cloud-native capability. Optimize analytics workloads on clouds like Microsoft Azure and ensure cost-efficient migration of analytics to the cloud through a workload management tool. 
  • ML-Based Insights: Get valuable insights from new data types by combining structured and unstructured data in integrated machine learning programs. Choose the desired ML algorithm from a range of options and easily find the optimal parameter settings. Use Python within Jupyter notebooks for deep learning functions like computer vision, natural language processing, forecasting and speech processing. 
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  • Salesforce Integration: Automate daily backups of business-critical data, attachments, files and metadata. Its SaaS Backup is a data backup and recovery solution for Salesforce. Track daily data backup changes and view metrics on user activity and data growth through reports and dashboards. 
  • Deployment: Supports Windows, Linux, Mac and Solaris operating systems. Can be run in the cloud, on-premises or as a hybrid solution. 
  • Supported Endpoints: Supports MongoDB, Cassandra and Snowflake, besides popular databases, and enables Azure database management via SQLServer. Its APIs are documented in Swagger standard JSON format. 
  • Schemas: Automatically update any changes in the server’s database on the client-side whenever users sync their devices. 
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Product Ranking

#41

among all
Big Data Analytics Tools

#60

among all
Big Data Analytics Tools

Find out who the leaders are

Analyst Rating Summary

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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

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DBSync
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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 96 100 98 96 86 93 70 96 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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User Sentiment Summary

Great User Sentiment 203 reviews
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85%
of users recommend this product

SAS Viya has a 'great' User Satisfaction Rating of 85% when considering 203 user reviews from 3 recognized software review sites.

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4.2 (157)
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4.3 (33)
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4.7 (13)
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Awards

SelectHub research analysts have evaluated SAS Viya and concluded it deserves the award for the Best Overall Big Data Analytics Tools available today and earns best-in-class honors for Augmented Analytics and Computer Vision and Internet of Things (IoT).

Analysts' Pick Award
Augmented Analytics Award
Computer Vision and Internet of Things (IoT) Award

we're gathering data

Synopsis of User Ratings and Reviews

Ease of Use: All users who mention its interface say that it makes autonomous analysis and data modeling accessible to users of all skill levels.
Support: All users who review support say that representatives are responsive and helpful in resolving issues and queries.
Functionality: Around 71% of the users who comment on its feature set say that the software helps discover data insights through powerful visualizations and on-the-fly calculations.
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Seamless Integration: DBSync excels in connecting diverse data sources, simplifying how information flows between different systems.
Enhanced Productivity: By automating workflows, DBSync eliminates manual data handling, freeing up valuable time and resources.
Flexibility: DBSync's adaptable platform empowers businesses to tailor data integration processes to their specific requirements.
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Cost: All users who discuss its pricing say that the cost of acquisition is high.
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Setup Complexity: The initial setup process can be intricate, potentially requiring users to have some level of technical proficiency to successfully navigate and configure the software.
Customer Support Concerns: While some users report positive experiences, others have expressed concerns regarding the timeliness and effectiveness of customer support responses, which could potentially lead to delays in resolving issues.
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SAS Viya is an AI-powered data management and visual analytics platform with a robust, scalable architecture. All users who reviewed data source connectivity said that it connects to multiple sources and integrates easily with business applications, giving a seamless user experience. With fast in-memory processing of big data sets, it leverages the power of R to enable visual statistics. All users who mentioned predictive analysis said that it enables automated forecasting through what-if scenarios, goal-seeking, text mining and decision trees. Citing ease of use, all users say that the platform is intuitive and enables easy data modeling and self-service visual analytics. All users who mentioned support said that they are responsive and knowledgeable. Around 71% of the users who comment on its functionality say that it is a robust, scalable and flexible platform that enables visualization and analysis of business data, though some users say visual statistics need improvement. On the flip side, all users who review its cost say that the tool is expensive. In summary, SAS Viya is an analytics tool that provides data management, visualization and AI-powered analytics to enterprises for improved decision making, though small organizations and startups might find it cost-prohibitive.

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Can DBSync help your business get in sync with the modern demands of data integration? User reviews from the last year suggest that DBSync is a robust data integration solution that excels at simplifying complex data workflows. Users rave about its seamless integration capabilities, highlighting its ability to connect diverse data sources like Salesforce and QuickBooks, which are essential for businesses aiming to streamline operations. This echoes the experiences of users like Emily N., who found that DBSync "enables efficient data synchronization and automation of workflows," improving productivity by reducing manual data entry errors. However, while generally praised for its user-friendliness, some users have reported a steep learning curve during the initial setup, particularly those less familiar with data integration tools. This suggests that while DBSync offers a powerful solution, some technical expertise might be needed to unlock its full potential. Additionally, customer support experiences have been somewhat polarized, with some users praising the responsiveness and helpfulness of the support team, while others have experienced delays. Overall, DBSync emerges as a powerful data integration tool best suited for businesses, particularly small to medium-sized enterprises, looking to automate their data management processes. Its ability to seamlessly connect various applications, automate workflows, and simplify data synchronization makes it a valuable asset for companies seeking to enhance operational efficiency and reduce manual effort.

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