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MongoDB VS Sumsub

Compare MongoDB VS Sumsub and see what are their differences

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MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Sumsub logo Sumsub

One verification platform to secure the whole user journey
  • MongoDB Landing page
    Landing page //
    2023-10-21
  • Sumsub Landing page
    Landing page //
    2022-10-30

Sumsub is the one verification platform that secures every step of the user journey. With Sumsub’s customizable KYC, KYB, transaction monitoring and fraud prevention solutions, you can orchestrate your verification process, welcome more customers worldwide, meet compliance requirements, reduce costs and protect your business.

Sumsub achieves the highest conversion rates in the industry—91.64% in the US, 95.86% in the UK, and 90.98% in Brazil—while verifying users in less than 50 seconds on average.

Sumsub’s methodology follows FATF recommendations, the international standard for AML/CTF rules and local regulatory requirements (FINMA, FCA, CySEC, MAS, BaFin).

MongoDB

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MongoDB features and specs

  • Scalability
    MongoDB offers horizontal scaling through sharding, allowing it to handle large volumes of data and enabling distributed computing.
  • Flexible Schema
    It allows for a flexible schema design using BSON (Binary JSON), making it easier to iterate and change application data models.
  • High Performance
    MongoDB is optimized for read and write throughput, making it suitable for real-time applications.
  • Rich Query Language
    Supports a rich and expressive query language that allows for efficient querying and analytics.
  • Built-in Replication
    Provides robust replication mechanisms for high availability and redundancy.
  • Geospatial Indexing
    Offers powerful geospatial indexing capabilities, useful for location-based applications.
  • Aggregation Framework
    Enables complex data manipulations and transformations using the aggregation pipeline framework.
  • Cross-Platform
    Works on multiple operating systems, enhancing its versatility and deployment options.

Possible disadvantages of MongoDB

  • Memory Usage
    MongoDB can consume a large amount of memory due to its use of memory-mapped files, which may be a concern for some applications.
  • Complex Transactions
    While MongoDB supports ACID transactions, they can be more complex to implement and less efficient compared to traditional relational databases.
  • Data Redundancy
    The flexible schema design can lead to data redundancy and increased storage costs if not managed carefully.
  • Limited Joins
    Joins are supported but can be less efficient and more limited compared to relational databases, affecting complex relational data querying.
  • Indexing Overhead
    Extensive indexing can introduce overhead and impact performance, especially during write operations.
  • Learning Curve
    Requires a different mindset and understanding compared to traditional relational databases, which can present a learning curve for new users.
  • Lacks Mature Analytical Tools
    The ecosystem for analytical tools around MongoDB is not as mature as those for traditional relational databases, which might limit advanced analytics capabilities.
  • Cost
    The cost of using MongoDB's cloud services (MongoDB Atlas) can be high, especially for large-scale deployments.

Sumsub features and specs

  • Compliance with regulations
    Sumsub offers features to ensure businesses comply with KYC, KYB, and AML regulations, reducing the risk of legal issues.
  • User-friendly interface
    The platform is designed to be intuitive, making it easier for both businesses and users to navigate the verification process.
  • Automated verification
    Sumsub provides automated processes to quickly verify documents and identities, reducing manual workload and speeding up onboarding.
  • Global reach
    Supports document verification from over 220 countries and territories, making it suitable for businesses with an international user base.
  • Customization options
    Offers various customization features to tailor the verification process according to specific business needs and user flows.
  • Fraud prevention
    Advanced technology to detect fraudulent documents and identities, enhancing the security and integrity of the verification process.
  • Comprehensive Analytics
    Provides detailed analytics and monitoring tools to track the verification process and identify bottlenecks or issues.

Possible disadvantages of Sumsub

  • Cost
    The service can be expensive, which might be a barrier for smaller businesses or startups.
  • Complexity for smaller organizations
    The range of features and customization options may be overwhelming for smaller businesses that do not have dedicated compliance teams.
  • Integration challenges
    Some businesses may experience difficulties integrating Sumsub with their existing systems, especially if they have unique technical requirements.
  • Dependence on internet connection
    The service relies on a stable internet connection for real-time verification, which might be problematic in regions with poor connectivity.
  • User privacy concerns
    Users might have concerns about sharing sensitive personal information, such as identity documents, even though Sumsub follows strict security protocols.
  • Regional regulations
    Compliance features might not be entirely up-to-date with the latest regional regulatory changes in fast-evolving jurisdictions, requiring businesses to perform regular reviews.

Analysis of MongoDB

Overall verdict

  • MongoDB is generally regarded as a good database solution for applications needing flexibility, scalability, and fast development times. However, it may not be the best choice for applications requiring complex transactions or where ACID compliance is critical, as it originally prioritized availability over consistency. Recent improvements, including multi-document transactions, have addressed some concerns, making it more versatile.

Why this product is good

  • MongoDB is considered a good choice for certain types of applications due to its flexible schema design, scalability, horizontal scaling capabilities, and ease of use for developers who require rapid development cycles. It supports a wide range of data types and allows for full-text search, geospatial queries, and aggregation operations. MongoDB's document-oriented storage makes it well-suited for handling large volumes of unstructured data. Its robust ecosystem, including Atlas for cloud deployments, adds to its appeal by offering automated scaling, backups, and distributed architecture.

Recommended for

  • Applications requiring high scalability and performance with unstructured data
  • Real-time analytics and big data applications
  • Web and mobile applications needing rapid development and flexible data models
  • Projects that benefit from cloud-native solutions with managed services

MongoDB videos

MySQL vs MongoDB

More videos:

  • Review - The Good and Bad of MongoDB
  • Review - what is mongoDB

Sumsub videos

How Sumsub KYC works

More videos:

  • Demo - Full-cycle business verification (KYB)
  • Review - The most flexible transaction monitoring solution (KYT)

Category Popularity

0-100% (relative to MongoDB and Sumsub)
Databases
100 100%
0% 0
Identity Verification And Protection
NoSQL Databases
100 100%
0% 0
Identity Verification
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare MongoDB and Sumsub

MongoDB Reviews

10 Top Firebase Alternatives to Ignite Your Development in 2024
MongoDB’s superpower lies in its flexibility. Its document-based model lets you store data in a free-form, schema-less way, making it adaptable to evolving application needs. Need to add a new field or change the structure of your data? No problem, MongoDB handles it with ease.
Source: genezio.com
Top 7 Firebase Alternatives for App Development in 2024
MongoDB Realm provides a robust alternative to Firebase, especially for apps requiring a flexible data model. Key features include:
Source: signoz.io
Announcing FerretDB 1.0 GA - a truly Open Source MongoDB alternative
MongoDB is no longer open source. We want to bring MongoDB database workloads back to its open source roots. We are enabling PostgreSQL and other database backends to run MongoDB workloads, retaining the opportunities provided by the existing ecosystem around MongoDB.
16 Top Big Data Analytics Tools You Should Know About
The database added a new feature to its list of attributes called MongoDB Atlas. It is a global cloud database technology that allows to deploy a fully managed MongoDB across AWS, Google Cloud, and Azure with its built-in automation for resource, workload optimization and to reduce the time required to handle the database.
9 Best MongoDB alternatives in 2019
MongoDB is an open source NoSQL DBMS which uses a document-oriented database model. It supports various forms of data. However, in MongoDB data consumption is high due to de-normalization.
Source: www.guru99.com

Sumsub Reviews

  1. Vito A
    · Trader ·

    Hands down one of the best experiences with document verification. I have to go through this kind of checks on a weekly basis and sumsub is relatively fast and has a smooth interface that guides you through the whole process. Solid 5/7

    👍 Pros:    Super fast

The Top 10 KYC (Know Your Customer) Solutions
Sumsub is a user verification platform that is designed to provide an easy onboarding process for trusted users from any country. This helps to ensure regulatory compliance, while minimizing fraudulent activities. With a 30-second onboarding time, the platform offers customizable Know Your Customer (KYC) and Anti-Money Laundering (AML) processes tailored to meet unique...
Discover the Top 5 Identity Verification Providers in 2023
When it comes to capabilities, flexibility is a key selling point as it empowers organizations to align the identity verification service with their unique workflows, compliance needs, and risk appetite. Different vendors provide different levels of customizations, with ComplyCube and SumSub offering the most flexible and granular options in their respective online portals.

Social recommendations and mentions

Based on our record, MongoDB should be more popular than Sumsub. It has been mentiond 18 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

MongoDB mentions (18)

  • Creating AI Memories using Rig & MongoDB
    In this article, we’ll build a CLI tool using the Rig AI framework and MongoDB for retrieval-augmented generation (RAG). This tool will store summarized conversations in a database and retrieve them when needed, enabling the AI to maintain context over time. - Source: dev.to / 3 months ago
  • The Adventures of Blink S2e2: Database, Contained
    Have a Mongo database holding the various phrases we're going to use and potentially configuration data for the frontend as well. - Source: dev.to / 10 months ago
  • Introducing Perseid: The Product-oriented JS framework
    It's also worth mentioning that Perseid provides out-of-the-box support for React, VueJS, Svelte, MongoDB, MySQL, PostgreSQL, Express and Fastify. - Source: dev.to / 9 months ago
  • DocumentDB Elastic Cluster Pricing
    Does anyone know if the most basic Elastic Cluster instance of DocumentDB carries any monthly fixed cost or is it just on-demand cost? Another words if I run like 10,000 queries against the DB per month, what kind of bill would I expect? This is for a super small app. I am currently using mongodb free tier , but want to migrate everything to AWS. Can't seem to find a straight answer to the pricing question. Source: over 2 years ago
  • I wrote some scripts for converting the UTZOO Usenet archive to a Mongo Database
    You can use either MongoDB.com's dashboard (if you host a remote database) or Mongo Compass to run queries on the data or you can modify the express middleware with your own queries. I'm still working on the API, so it's not very robust yet. I will update this when it is. Source: over 2 years ago
View more

Sumsub mentions (8)

  • Haru Invest referral code: 🚀💰 'HELLO' (March 2023)
    After that you must complete secure KYC process (done via the SumSub company). Source: over 2 years ago
  • Binance p2p
    I didnt recieve my crypto from the p2p Transfer and its asking for me to do verification from sumsub.com. I have no idea what this website is but I filled out the verification and it says they are partnered with Binance. Source: over 2 years ago
  • Community discussion about Spectrum Finance $SPF token in this thread December 9th, 6 pm UTC — Please join!
    KYC and data storage could be done by a trusted third-party service called Sum and Substance. Source: over 2 years ago
  • Level 2 verification - document not approved / CS not replying
    It might be required to present proof of address for KYC, which you can learn more about here. The KYC procedure is handled by our partners at sumsub.com and they are the ones checking the validity of the document. Source: almost 3 years ago
  • Is there a way to verify my account with non-english IDs/ PoA?
    Updated the link with the source. Hope it helps. https://sumsub.com/. Source: about 3 years ago
View more

What are some alternatives?

When comparing MongoDB and Sumsub, you can also consider the following products

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Onfido - Onfido is the data-driven platform for intelligent background checking.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

ComplyCube - Verify your customers in under 15 seconds anywhere in the world with a cutting-edge SaaS & API platform for Identity Verification and AML/KYC compliance.

MySQL - The world's most popular open source database

Veriff - AI-powered identity verification & fraud prevention software Veriff provides a best- in-class identity verification solution combining AI with in-house experts to maximize accuracy and speed.