What is Help Scout and what are its top alternatives?
Top Alternatives to Help Scout
Zendesk provides an integrated on-demand helpdesk - customer support portal solution based on the latest Web 2.0 technologies and design philosophies. ...
Intercom is a customer communication platform with a suite of integrated products for every team—including sales, marketing, product, and support. Have targeted communication with customers on your website, inside apps, and by email. ...
- Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning. ...
Reamaze can handle your support@ email box just as well as it can handle your in-app support and live chat. Or Facebook Page. Or Twitter handle. ...
- Jira Service Desk
It lets you receive, track, manage and resolve requests from your team's customers. It is built for IT, support, and internal business teams, it empowers teams to track, prioritize, and resolve service requests, all in one place. ...
Freshdesk is an on demand customer support software that works across multiple support channels. ...
Front allows you to collaborate with your team, stay productive, and use email and social together. Currently available on Mac, Windows, Web, and Mobile. ...
UserVoice creates simple customer engagement tools that help companies understand and interact with their customers more positively and build customer relationships that last. ...
Help Scout alternatives & related posts
- Centralizes our customer support134
- Many integrations72
- Easy to setup59
- $1 Starter Pricing Plan4
- Woopra integration4
- Proactive Customer Support3
- Full of features1
- Remote and SSO authentication with CMSs like WordPress1
- Charitable contribution to SF hospital for $20 plan1
related Zendesk posts
- Know who your users are167
- In-app messaging as well as email107
- Customer support88
- Usage tracking68
- Great Blog18
- Organized engagement, great ui & service11
- Direct chat with customers on your site9
- Very helpful4
- Onboarding new users3
- No Mac app2
- Free tier2
- Filter and segment users2
- Github integration2
- Very Useful2
- Changes pricing model all the time7
related Intercom posts
As a small startup we are very conscious about picking up the tools we use to run the project. After suffering with a mess of using at the same time Trello , Slack , Telegram and what not, we arrived at a small set of tools that cover all our current needs. For product management, file sharing, team communication etc we chose Basecamp and couldn't be more happy about it. For Customer Support and Sales Intercom works amazingly well. We are using MailChimp for email marketing since over 4 years and it still covers all our needs. Then on payment side combination of Stripe and Octobat helps us to process all the payments and generate compliant invoices. On techie side we use Rollbar and GitLab (for both code and CI). For corporate email we picked G Suite. That all costs us in total around 300$ a month, which is quite okay.
In order to fix this, we had to set up our own content delivery service. We chose Amazon CloudFront and Amazon S3 to do the job because it has a good synergy with Heroku PaaS we are already using.
- Fast and Flexible48
- Great for distributed SQL like applications8
- One platform for every big data problem8
- Easy to install and to use6
- Works well for most Datascience usecases3
- In memory Computation2
- Interactive Query2
- Machine learning libratimery, Streaming in real2
related Apache Spark posts
The algorithms and data infrastructure at Stitch Fix is housed in #AWS. Data acquisition is split between events flowing through Kafka, and periodic snapshots of PostgreSQL DBs. We store data in an Amazon S3 based data warehouse. Apache Spark on Yarn is our tool of choice for data movement and #ETL. Because our storage layer (s3) is decoupled from our processing layer, we are able to scale our compute environment very elastically. We have several semi-permanent, autoscaling Yarn clusters running to serve our data processing needs. While the bulk of our compute infrastructure is dedicated to algorithmic processing, we also implemented Presto for adhoc queries and dashboards.
Beyond data movement and ETL, most #ML centric jobs (e.g. model training and execution) run in a similarly elastic environment as containers running Python and R code on Amazon EC2 Container Service clusters. The execution of batch jobs on top of ECS is managed by Flotilla, a service we built in house and open sourced (see https://github.com/stitchfix/flotilla-os).
At Stitch Fix, algorithmic integrations are pervasive across the business. We have dozens of data products actively integrated systems. That requires serving layer that is robust, agile, flexible, and allows for self-service. Models produced on Flotilla are packaged for deployment in production using Khan, another framework we've developed internally. Khan provides our data scientists the ability to quickly productionize those models they've developed with open source frameworks in Python 3 (e.g. PyTorch, sklearn), by automatically packaging them as Docker containers and deploying to Amazon ECS. This provides our data scientist a one-click method of getting from their algorithms to production. We then integrate those deployments into a service mesh, which allows us to A/B test various implementations in our product.
For more info:
- Our Algorithms Tour: https://algorithms-tour.stitchfix.com/
- Our blog: https://multithreaded.stitchfix.com/blog/
- Careers: https://multithreaded.stitchfix.com/careers/
#DataScience #DataStack #Data
Why we built Marmaray, an open source generic data ingestion and dispersal framework and library for Apache Hadoop :
Built and designed by our Hadoop Platform team, Marmaray is a plug-in-based framework built on top of the Hadoop ecosystem. Users can add support to ingest data from any source and disperse to any sink leveraging the use of Apache Spark . The name, Marmaray, comes from a tunnel in Turkey connecting Europe and Asia. Similarly, we envisioned Marmaray within Uber as a pipeline connecting data from any source to any sink depending on customer preference:
(Direct GitHub repo: https://github.com/uber/marmaray Kafka Kafka Manager )
related Reamaze posts
- Integration with Jira and Confluence1
related Jira Service Desk posts
- Omnichannel capabilities3
- Centralizes our customer support2
- Great Value for Money2
related FreshDesk posts
- It's the most professional email application I've seen7
- Great agenda organization with time tracking and snooze1
related Front posts
- Feedback tool40
- Easy setup27
- Support tool15
- Knowledge Base14
- Widget stays out of your way3
- Wish users could auth with our app instead of UserVoice1