Freshdesk provides a free helpdesk system so we can manage our support tickets. They have the feature that allows us to send emails through our own email address (vs using their own email address), and an app that works well to respond and organize tickets.
My biggest gripe with the service is that they are missing a feature that HelpScout has, where we can reply directly to the notification email and that reply gets sent to the customer. With freshdesk, we have to log into their portal or use the app in order to send a reply.
Based on our record, Apache Flink should be more popular than Freshdesk. 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.
When I click on it and try to view my ticket it asks me to log in, but then tells me my email and password are incorrect, I can log into Moog music just fine....and NOT freshdesk.com. Source: 7 months ago
What I suggest is using freshdesk.com. It's free for some of the base needs such as automatically creating ticket when people email as support email, giving clients a portal to fill out what you want them to fill out which creates a ticket, automatically notifies people on your team (up to 10) and allows you to create departments and emails them when a ticket is assigned to that department, reply via email allows... Source: 7 months ago
Freshdesk (Free up to a certain number of users): Offers ticketing and knowledge base. Link. Source: about 1 year ago
Since Freewallet is a quite small company they outsource their "support" from this Indian startup the communication is quite complicated. If the company doesn't want to spend more money in order to hire a good support engineer, and instead prefers to save some money by going offshore. Then this companies' customers swill suffer. Source: over 1 year ago
We use Freshdesk from Freshworks. Works great for us. No real complaints. Source: almost 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 / 16 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
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