Automation Anywhere is well suited for automating repetitive or complex tasks that can be performed on a timeline such as data processing, data extraction, and file transfers. Automation Anywhere also has capabilities for integration with legacy applications and APIs to automate more complex data flows. Automation Anywhere is also ideal for automating document processing, form filling and other web activities since it has both image recognition and image-based automation capabilities.
On the other hand, Automation Anywhere is less appropriate for tasks requiring high levels of system intelligence such as machine learning or natural language processing as these require different types of technology. Additionally, if a task requires manual elements such as validations or reviews then Automation Anywhere may not be the most suitable solution either. It can be possible to set up automated validations but that might not always result in an ideal solution due to its limitations.
Elasticsearch is a really scalable solution that can fit a lot of needs, but the bigger and/or those needs become, the more understanding & infrastructure you will need for your instance to be running correctly. Elasticsearch is not problem-free - you can get yourself in a lot of trouble if you are not following good practices and/or if are not managing the cluster correctly. Licensing is a big decision point here as Elasticsearch is a middleware component - be sure to read the licensing agreement of the version you want to try before you commit to it. Same goes for long-term support - be sure to keep yourself in the know for this aspect you may end up stuck with an unpatched version for years.
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Now I easily generate the invoices and quotation generation is an easy task now. Previously it was very time consuming as we have to drag the data from the excel sheets.
I will praise its integration with other software that has facilitated us to make amendments in the data across those platforms.
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As I mentioned before, Elasticsearch's flexible data model is unparalleled. You can nest fields as deeply as you want, have as many fields as you want, but whatever you want in those fields (as long as it stays the same type), and all of it will be searchable and you don't need to even declare a schema beforehand!
Elastic, the company behind Elasticsearch, is super strong financially and they have a great team of devs and product managers working on Elasticsearch. When I first started using ES 3 years ago, I was 90% impressed and knew it would be a good fit. 3 years later, I am 200% impressed and blown away by how far it has come and gotten even better. If there are features that are missing or you don't think it's fast enough right now, I bet it'll be suitable next year because the team behind it is so dang fast!
Elasticsearch is really, really stable. It takes a lot to bring down a cluster. It's self-balancing algorithms, leader-election system, self-healing properties are state of the art. We've never seen network failures or hard-drive corruption or CPU bugs bring down an ES cluster.
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Automation Anywhere doesn't come with easy installation, We need to install Java, IDEs and Databases in an orderly fashion which we are not able to do.
Automation Anywhere has no workflow design which is not making us to understand the process.
Automation Anywhere has no fit to size object cloning.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
On more complex use cases, Automation Anywhere requires technical background like knowledge on network protocols and database language on task creation, and even people with technical background might have some trouble in the beginning because of the product particularities on how variable manipulation works, or how to get the object cloning (a more resilient screen manipulation command) to work as intended. The scheduling of tasks on the Control Room and the autologin feature isn't intuitive as they should, so much of this works requires documentation analysis to get it done on the first time.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
To get started with Elasticsearch, you don't have to get very involved in configuring what really is an incredibly complex system under the hood. You simply install the package, run the service, and you're immediately able to begin using it. You don't need to learn any sort of query language to add data to Elasticsearch or perform some basic searching. If you're used to any sort of RESTful API, getting started with Elasticsearch is a breeze. If you've never interacted with a RESTful API directly, the journey may be a little more bumpy. Overall, though, it's incredibly simple to use for what it's doing under the covers.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Automation Anywhere is a great tool for a low cost, fairly easily scalable, and quickly learned. The company is growing by leaps and bounds and continually pushing the automation boundaries. The problem with fast expansion is that sometimes you can grow more quickly than you can appropriately support your products. While Automation Anywhere has an excellent support structure in place, every company and situation is different, and they often struggle with why problems arise in the system and how to fix them.
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We've only used it as an opensource tooling. We did not purchase any additional support to roll out the elasticsearch software. When rolling out the application on our platform we've used the documentation which was available online. During our test phases we did not experience any bugs or issues so we did not rely on support at all.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Automation anywhere scores well with respect to other solutions when we look at bot implementation, bot management, and basic automation. From a security perspective as well, AA fares well as compared to other solutions. UIpath is better suited when we operate using VPN systems and integrating with homegrown solutions.
As far as we are concerned, Elasticsearch is the gold standard and we have barely evaluated any alternatives. You could consider it an alternative to a relational or NoSQL database, so in cases where those suffice, you don't need Elasticsearch. But if you want powerful text-based search capabilities across large data sets, Elasticsearch is the way to go.
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Highly reliable once you start experiencing the results. It helps you to have a clear cut results with better productivity numbers and financial savings
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We have had great luck with implementing Elasticsearch for our search and analytics use cases.
While the operational burden is not minimal, operating a cluster of servers, using a custom query language, writing Elasticsearch-specific bulk insert code, the performance and the relative operational ease of Elasticsearch are unparalleled.
We've easily saved hundreds of thousands of dollars implementing Elasticsearch vs. RDBMS vs. other no-SQL solutions for our specific set of problems.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
