Software Alternatives, Accelerators & Startups

Spark Streaming VS Sumsub

Compare Spark Streaming VS Sumsub and see what are their differences

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

Sumsub logo Sumsub

One verification platform to secure the whole user journey
  • Spark Streaming Landing page
    Landing page //
    2022-01-10
  • 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).

Spark Streaming

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Spark Streaming videos

Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Tutorial - Spark Streaming Vs Structured Streaming Comparison | Big Data Hadoop Tutorial

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 Spark Streaming and Sumsub)
Stream Processing
100 100%
0% 0
Identity Verification And Protection
Data Management
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 Spark Streaming and Sumsub

Spark Streaming Reviews

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Sumsub Reviews

  1. 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

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, Sumsub should be more popular than Spark Streaming. It has been mentiond 8 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.

Spark Streaming mentions (3)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 5 months ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
  • Spark for beginners - and you
    Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago

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 1 year 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 1 year 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 1 year 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 2 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 2 years ago
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What are some alternatives?

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

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

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.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Veriff - Smart and scalable identity verification.