Veriff
Onfido
Sumsub
Shufti Pro
ComplyCube
Yoti
IDnow
Trulioo
Apache Flink
Apache Spark
Amazon Kinesis
Spring Framework
Spark Mail
Apache Airflow
Confluent
Grails
When it comes to identity verification, a one-size-fits-all solution does not work. Instead, Veriff configures its verification software for each client, enabling only the checks necessary to match their appetite for risk and requirements for speed and conversions. After verification, selected data points about the session are shared with the client, which can then be used in their systems outside of the IDV scope.
When becoming our partner, our product specialists cooperate with you to determine which data inputs Veriff should gather from users, as well as what checks to conduct depending on your conversion and compliance needs. The outputs and the extent to which we automate our IDV service is entirely up to you, and as a result, Veriff can establish trust beyond the market standard for ID verification while also helping you scale and onboard as many honest customers as possible.
With over 7,000 government-issued IDs supported, Veriff is built to be agile and adaptive. Intelligent software not only helps us configure our checks according to client needs, but it also makes it possible for us to localize in new languages within 1-2 weeks, with a total of 35 localizations supported today.
Veriff Apache FlinkBased on our record, Apache Flink should be more popular than Veriff. It has been mentiond 30 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.
Alright, ive been trying to verify my age. However, when I reach the part where it gives me the veriff.com link I click it. But then, it gets stuck on this screen (ive put a picture) for a really long time. This is a second time ive tried, with no avail. And yes, I am, ofc, 13+. Source: over 1 year ago
You're not even giving your id to roblox. you're giving it to a reputable 3rd party verification company (veriff). Source: almost 2 years ago
Veriff.com is a real third party for veryfying your account. Source: over 2 years ago
Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 15 days ago
I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / about 1 month ago
You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / about 2 months ago
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 3 months ago
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
Onfido - Onfido is the data-driven platform for intelligent background checking.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Sumsub - One verification platform to secure the whole user journey
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Shufti Pro - Shufti Pro offers AI-based KYC and AML screening solutions empowered with biometric authentication.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.