Amazon DocumentDB (with MongoDB compatibility) vs. Localytics

AWS Document DB (with MongoDB compatibility) is well suited when for all the workloads due to its huge feature offerings which will reduce our operational overhead and due to that we can focus more on our WorkLoad rather than optimising and fine tuning Databases. Its Offerings are Advanced Monitoring, DB cluster Upgrades, Migration Assistant, High Availability, Fault Tolerance, Data Durability, Security, Storage Auto Scaling, Backup Restore policies.AWS Document DB (with MongoDB compatibility) some of the features that are there in some other services like MongoDB Atlas that offers vast amount of features plus Supports Multi Cloud while Deploying Database clusters, Immediate support to latest Mongo DB versions, Mobile & Edge Sync like Atlas Edge Sync, Freedom to choose Database deployment in Any top Public Cloud, Having more then 100 plus Monitoring and Telemetry metrics for index and schema recommendations, More Compatibility with MongoDB queries.

Incentivized

For the price and the features available, Localytics is one of the best options. It is more robust in areas that we don't need it to be and overall there could be simpler flows for sending push notifications or performing actions that you need to do every week. Also, the data it sends back on how push notifications perform is basically useless. There needs to be more explanation on the impact notifications have on users. The data would always say that notifications drove less engagement but we would see engagement go up every time we sent a notification.

Incentivized

• Amazon DocumentDB (with MongoDB compatibility) provides Auto scaling of cluster as a by default functionality through this we can focus on more on our applications end
• Through AWS Document DB without much operation overhead we can configure for Database's high availability, Durability, Backup Restores policies, Advanced Monitoring, Security Parameters.
• Also they can provide us a Guide for Database Migration from any Supported Mongo DB vendor to AWS Document DB.
• Via AWS Document DB query Logging ( Profiling ) we can fine tune our database queries and hence improving our END to END Customer Experience and Product Enhancements.

Incentivized

• Great web interface which provides a couple of levels of pivoting and filtering of data
• Straight-forward integration for simpler use cases
• Access to raw data through S3 for use in your own data pipeline

Incentivized

• Give support for Latest Mongo DB versions available in market
• AWS Document DB is limited up to 32 shards per cluster and 2 shards per Document DB instance and all within single region
• Start supporting more numbers of Rich data types
• Should have access to MongoDB experts who throw light on Cutting edge mongoDB features and integration consulting.

Incentivized

• The biggest thing I would like to see with Localytics is the capability for more correlations. The limited amount of correlations available does restrict the type of analyses that could be done with the data.
• An easier interface to move data into Microsoft Excel would be very useful, rather than creating annoying workarounds.
• More/better automatically scheduled reporting, as well as an Excel plug-in to access the data rather than being restricted to the Localytics interface.

There is a lot of competition. I would renew if there isn't anything more exceptional that would justify the re-coding and implementation load costs

It would take several weeks to hear back from the billing team. It took 3 months to resolve an invoice last year. Their technical support is very responsive. I would typically get a response in under 24 hrs.

Incentivized

We have not used other products but are going to start exploring making a switch to a new platform.

Incentivized

• Great Customer Experience as DB queries are fine tuned
• Less Operational Overhead to manage and take care of the Database
• Automatic applying of Small patches

Incentivized

• Was our first provider of user-level event data
• Allows for many users to easily answer their own questions before making requests of the data team
• Raw data dumps gave the data team the ability to provide more in-depth analyses.

Incentivized