NinjaOne
ConnectWise Automate
Atera
Microsoft Operations Management Suite
Freshservice
Kaseya VSA
Intercom
Datadog
Apache Flink
Apache Spark
Amazon Kinesis
Spring Framework
Spark Mail
Apache Airflow
Confluent
Grails
NinjaOne is a leading unified IT management software company that simplifies how IT teams work. MSPs and IT departments can automate, manage, and remediate all their device management tasks within one fast, modern, intuitive platform, improving technician efficiency and user satisfaction. NinjaOne is consistently ranked #1 for its world-class customer support and has been recognized as the best-rated software in its category on G2 and Gartner Digital Markets for the past 6 years.
NinjaOne delivers a happier, simpler IT experience with best-in-class device management, patch management, remote access, and more. With NinjaOne’s fast modern, intuitive platform, IT teams can automate processes and control their IT environments from an easy-to-use interface that allows them to instantly monitor, manage, secure, and support all users. For more information, or to start a free trial, visit www.ninjaone.com.
NinjaOne Apache FlinkNo features have been listed yet.
NinjaOne's answer
NinjaOne customers include MSPs and internal IT organizations of all sizes.
NinjaOne's answer
NinjaOne is a cloud-native unified IT management platform tailored for IT organizations and MSPs. It offers comprehensive monitoring, management, patching and security for a diverse range of endpoints — including Windows, macOS, Linux, VMs, and SNMP — all consolidated within a singular intuitive dashboard.
Its robust automation features empower technicians to offload routine, time-intensive tasks, redirecting their attention to strategic endeavors. Designed for proactive daily management, NinjaOne boasts a user-friendly interface, ensuring a smooth set-up and operation. With complimentary unlimited onboarding, training, and support, we're committed to maximizing the ROI for our customers' NinjaOne investments.
NinjaOne's answer
NinjaOne equips MSP and IT teams with a unified hub for overseeing, patching, and supporting all their endpoints. Leveraging our integrated solution and policy-driven management, we introduce a remarkable degree of automation into standard IT workflows, enabling technicians to channel their expertise into intricate tasks and innovative problem-solving.
Tailored for the modern, distributed workforce, NinjaOne's cloud-native platform allows technicians to manage any internet-connected endpoint from any location, eliminating the need for any infrastructure. This not only trims management costs but also simplifies the process. The platform's agile and user-friendly interface further amplifies efficiency, making IT operations seamless for teams.
NinjaOne's answer
NinjaOne is dedicated to building top-tier, scalable, and user-friendly IT management solutions that empower MSPs and IT experts to ensure business continuity and enhance profitability. With a user experience intricately designed from inception, we aim to minimize onboarding costs and optimize automation, offering a cutting-edge, proactive IT management journey. Presently, over 13,000 MSPs and IT entities worldwide trust NinjaOne to oversee, update, and secure more than 5 million endpoints.
NinjaOne's answer
NinjaOne is a cloud-native unified IT management platform. Key technologies include monitoring & alerting, patch management, software deployment, scripting & automation, remote control, backup, ticketing, documentation, next generation antivirus (NGAV) and endpoint detection and response (EDR). Additionally, NinjaOne seamlessly integrates with numerous popular solutions, further enhancing our customers' workflow efficiency.
Based on our record, Apache Flink seems to be more popular. 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.
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
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