MATLAB vs DBSync

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Our analysts compared MATLAB 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

MATLAB is a numerical computing and programming platform that enables users to develop and implement mathematical algorithms, create models and analyze data. Designed for engineers and scientists, it can be used for a range of purposes, including deep learning and machine learning, computational finance, image processing, predictive maintenance, IoT analytics and more. Built around its matrix-based programming language, it can help users run analyses on large data sets as well as design and rigorously test models.

It is available through on-premise installation on Windows and Mac. For eligible licensees, there is also a SaaS version accessible through a web browser. Users can purchase it under a perpetual or annual license, with discounts for academic institutions. For individuals not associated with government agencies, private companies or other organizations, there is a less expensive home license for personal use. Students can purchase a student license for a version designed for coursework and academic research.

Early-stage technology startups can apply for startup-friendly pricing and opportunities.
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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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$980 Annually
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$480 Annually, Freemium
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Tailored to your specific needs
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Product Insights

  • Get Results Faster: Obtain quicker results through contextual hints, automatic code generation and a fully integrated debugger. Spend less time on programming and troubleshooting.
  • Analyze with Less Code: Teach the platform to automatically generate code to reproduce work and save time, as well as perform tasks such as training machine learning models or labeling data. 
  • Add-Ons For Every Application: Customize and extend the functionality of the core platform through the MATLAB family of add-on products to address specific business needs.
  • Scale Up to Big Data: Scale analyses to process big data by running on clusters, GPUs and clouds. Speed up computation on large data sets without needing to rewrite code or learn big data programming. 
  • Updates and Upgrades: Runs code more than twice as fast as before, due to continual updates and new features on the platform, as well as twice-yearly new releases.
  • Access Anywhere: Sign in to the online platform from any standard web browser, without needing to download and install the application on new machines. Syncs files between computers and the online platform via cloud storage and integration, eliminating the need for manual upload or download. 
  • Enhanced Collaboration: Collaborate by sharing scripts and files directly online or publishing to the web via interactive controls. Easily package or translate analysis for other platforms, or document work and export it to reports for sharing.
  • Free Trial: Try it hands-on with a free 30-day trial. Students whose schools have a campus license can access a free copy of the software without the 30-day trial limitation.
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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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  • Data Import: Import and access a variety of data types, including text files, spreadsheets, images, audio, video, scientific data formats, IoT data, large data sets and more. 
  • Algorithm Development: Develop algorithms with thousands of core mathematical, engineering and scientific functions and tools for debugging, implementation and optimization. 
  • Automate with Machine Learning: Leverage interactive apps to see how algorithms work with data and then tweak to get the desired results. Then, automatically generate a program to reproduce or automate workflows. 
  • Live Editor: Build functions and generate code, creating scripts that can be enhanced with formatting through an interactive editor. Compile these scripts and results into an executable notebook. Explore parameters and immediately see the results, saving time.
  • Data Analysis: Analyze large data sets and big data in a multitude of ways through thousands of prebuilt functions for statistical analysis, machine learning and signal processing.
  • Data Visualization: Turn data into graphics with prebuilt 2D and 3D plots, including line plots, histograms, bar graphs, scatter plots, pie charts, word clouds, maps, polar plots, vector fields and animations.
  • Mathematics: Perform mathematical calculations via a vast library of mathematical functions, including linear algebra, statistics, Fourier analysis, numerical integration, differential equations and more.
  • Modeling: Supports model-based design, multi-domain simulation and automatic code generation via integration with another product from the same vendor, Simulink. Helps in numeric and symbolic modeling and provides mathematical tools like curve fitting, statistics, ODE and PDE solving, calculus and more.
  • Teach with Live Scripts: Build live scripts with its code to let students explore concepts and learn on their own. Create engaging lectures that walk students through explanations, math equations and results, one section at a time. Modify code on the fly to demonstrate how to use math to solve complex problems.
  • App Designer: Create, package and share professional desktop and web apps without needing all the technical know-how of app development. Lay out a graphical user interface through drag-and-drop tools and write the coding for the app’s behavior with an integrated editor and code analyzer that warns about errors in code as it’s written.
  • Community Gallery: See examples from the community on how to display and manipulate data by visiting the plot gallery and live script gallery on the vendor’s website.
  • Programming Integrations: Supports interfacing with other programming languages. Use the platform from within another programming environment without starting a new desktop session through engine APIs that support C/C++, Fortran, Java, Python and more. Call functions and objects from other libraries, including C, C++, Java, Python, .NET, COM objects and more from within the platform. Convert algorithms written in its code to C/C++.
  • Add-Ons: Utilize toolboxes and specialized solutions for fields such as math and optimizations, statistics and data science, code generation, application deployment, database access and reporting. These toolboxes are professionally built, rigorously tested and fully documented. Integrate automated reporting into the platform with richly-formatted custom reports in PDF, Word and HTML formats. 
  • MATLAB Online: Access the platform from any web browser through cloud-based services without downloading and installing the software. 
  • MATLAB Drive: Store, manage and share files from the cloud across devices and work with files from anywhere.
  • Mobile App: Learn and teach through mobile apps for iOS and Android devices. Connect to sessions, and acquire sensor data to analyze and capture images and videos.
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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

#11

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#60

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User Sentiment Summary

Excellent User Sentiment 4535 reviews
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92%
of users recommend this product

MATLAB has a 'excellent' User Satisfaction Rating of 92% when considering 4535 user reviews from 5 recognized software review sites.

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4.5 (599)
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4.6 (1808)
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4.6 (1570)
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4.6 (401)
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4.3 (157)
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Awards

MATLAB stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

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Synopsis of User Ratings and Reviews

Service and Support: All users who mentioned support said that online community forums are supportive in helping them leverage the platform to its maximum potential.
Data Processing: Around 92% of users who discussed its data processing capabilities said that the solution helps to simulate and visualize complex mathematical models in an intuitive manner.
Data Analysis: According to 92% of users who reviewed data analysis, the platform, with multiple built-in packages, is useful in exploring data, creating machine learning models and predictive analysis.
Functionality: Citing a range of pre-loaded functions and algorithms, approximately 88% of users who reviewed functionality said that the solution is a powerful tool with a rich feature set and strong computing abilities.
Ease of Use: Reviewing ease of using the tool, approximately 60% of users said that, with detailed documentation being readily available, minimal coding experience is necessary to create and combine scripts.
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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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Performance and Speed: Around 91% of users who reviewed speed said that the platform is resource-hungry in terms of power and space and slows down when performing complex computations.
Cost: Citing licensing costs, approximately 81% of users said that the software is expensive for individual users.
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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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MATLAB is a computing and programming tool that combines the power of functions and algorithms with data integration, modeling and visualization for predictive business data analysis. Users perform complex computations on data sets that the platform ingests from a multitude of data sources to glean business-specific metrics. Citing online communities, all users who reviewed support said that the tool is accessible to beginners, while providing enough depth for advanced users, though some said that the coding syntax could be daunting for non-technical users initially. Around 92% of users who reviewed its analytical capabilities said that the platform provides a wide range of built-in packages to provide out-of-the-box data analysis solutions. With its minimal scripting, many users who discussed data processing said that they could simulate complex mathematical functions to visualize complex data models. Reviewing its functionality, many users said that its rich library and design makes it possible to write powerful programs easily. A majority of users who discussed its performance said that the platform consumes a lot of power and space and slows down when performing complex computations, possibly because updates, though frequent, do not include optimization for older features. Many users who reviewed the cost said that individual user licenses are expensive, and buying additional libraries adds to the cost since many of these have interlinking dependencies, though some users said that the platform provides value for money. In summary, MATLAB is a programming solution that leverages machine learning for data collection and complex computations for users to create data models and visualize enterprise metrics for predictive analysis.

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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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