Apache Flink
Apache Spark
Amazon Kinesis
Spring Framework
Spark Mail
Apache Airflow
Confluent
Grails
Shufti Pro
Onfido
Veriff
Sumsub
ComplyCube
Trulioo
IDnow
Encompass
Shufti Pro is an excellent identity verification services provider that offers SaaS products which includes KYC/AML & KYB screening, biometric authentication, 2-factor authentication, video KYC and ongoing KYC/AML screening. It works on a RestFul API and even have an Auto Code Generator that can give you exact code that you need to integrate with your pre-existing system. Some of the features of Shufti Pro that make it an excellent choice 15 Days Free Trial Real-Time Verification Results Available in 230+ Countries Pay As You Go and monthly commitment pricing models Auto Code Generator No Minimum Verification Volume Required Free Geolocation data for each Verification Customized solutions
Shufti Pro has a global scope and has verified people in over 230 countries of the world. Its restful API ensures that it can integrate easily with any pre-existing online portal, mobile application, and website.
Apache Flink Shufti ProNo features have been listed yet.
Based on our record, Apache Flink seems to be a lot more popular than Shufti Pro. While we know about 30 links to Apache Flink, we've tracked only 1 mention of Shufti Pro. 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.
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 / 17 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
We and our colleagues at B2Broker, are thrilled to announce that our platform, B2Core, formed an alliance with Shufti Pro, a leading AI-powered identity verification service. Because of this agreement, our B2Broker customers will be able to expedite the identity verification process, making it more comfortable and accessible than ever before. Source: about 2 years ago
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Onfido - Onfido is the data-driven platform for intelligent background checking.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Veriff - Smart and scalable identity verification.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.
Sumsub - One verification platform to secure the whole user journey
