Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.
$16
per month
Jobma
Score 9.0 out of 10
N/A
Jobma is adigital interviewing platform that helps businesses hire, with a platform that offers a range of tools, including Video and Audio Interviews, Digital Assessments, along with Proctoring capabilities. Jobma boasts a global presence in over 55 countries and supports 16 languages, and a client list that includes over 2,000 businesses worldwide. Jobma aims to assist recruiters in using video to build stronger relationships, present the best talent, and work more…
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.
This is pretty much perfect if you are in a situation like us i.e, want to improve/replace your phone screening and ensure your clients only interview good candidates. It also works great for pretty much any role you might be hiring for since the video interview part happens early in the process. The only scenario where this might not be used in your recruitment process is if you hire a few people throughout the year. In that case, it probably doesn't make sense.
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.
Overall interviewing experience with Jobma is outstanding.
Jobma connects us to worldwide talent remotely and helps discover, engage and recruit star talent for the position effectively.
I was also able to share some of the initial interviews and the management team supported and loved the tool. Thanks, Jobma, for making this a reality.
Jobma allows us to conduct our preliminary interviews with ease.
I feel like their live video interview should be easier to set up. Right now it takes a few clicks to get it set up. There should just be an option to immediately do a live interview without the scheduling bit.
We would like to be able to download our video interviews but I am told that is a GDPR/compliance thing they cannot do.
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.
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.
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.
I have used Spark Hire in my previous organization which is an alternate software for Jobma, but Spark Hire pricing is very expensive when compared to Jobma. So I would recommend always Jobma for its features and affordable pricing.
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.
Integration of Jobma into hiring tool kit has significantly reduces the interview rounds and time and fast-forward the complete interview process.
It provides easy to easy dashboard and make it convenient for the hiring managers to track personal and team performances of recruiters that makes hiring more effective and objective driven.
