What is Mailplane and what are its top alternatives?
Top Alternatives to Mailplane
An easy to use email app that saves you time and keeps your messages safe. Get your messages instantly via push notifications, read and respond online & offline, and find any message quickly. ...
- 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. ...
It is a Behavior Driven Development library for iOS development. The goal is to provide a BDD library that is exquisitely simple to setup and use. ...
- Microsoft Outlook
It is an application that is used mainly to send and receive emails. It can also be used to manage various types of personal data including calendar appointments and similar entries, tasks, contacts, and notes. ...
It is the world's largest secure email service, developed by CERN and MIT scientists. We are open source and protected by Swiss privacy law ...
It is not just another email client. They are rebuilding the inbox from the ground up to make you brilliant at what you do. Specifically designed it for those of you who want the best. ...
It is an open source server and secured & fast customer software for messaging and collaboration. The software consists of both client and server components, and a desktop client. It also provides native two-way sync to many mobile devices. ...
- Yandex Mail
It is a free feature-rich email service with unlimited mailbox size. It has two-factor authentication and login history to prevent hacking. It scans all incoming mail for both spam, phishing, and malware. ...
Mailplane alternatives & related posts
- Its free16
- Can't unsend, add open trackers or read recipients4
related Gmail posts
Hi! I am trying to decide between using Calendly or Meetingbird for my consultancy. I would like to connect 3/4 calendars (via Gmail / G Suite) and primarily use Zoom as my connection platform. I'd love to hear about what others use and your recommendations/points to consider. TIA!
I'm looking for a tool or set of tools to enable searching across all of our platforms including Confluence and Jira, Zoho CRM, Gmail, Gdrive for business, Dropbox and iCloud.
Any ideas. Something like X1? IBM Watson Discovery?
(And local Disk of course)
- Fast and Flexible48
- One platform for every big data problem8
- Great for distributed SQL like applications7
- Easy to install and to use6
- Works well for most Datascience usecases3
- Interactive Query2
- In memory Computation2
- 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 Kiwi posts
related Microsoft Outlook posts
- Accounts conveniently don't need phone or backup email2
- Based in Switzerland2