marketing platform for growing companies. Attract more visitors, build lists, nurture & close sales with one integrated software.
MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).
It's easy to connect Omnisend + MongoDB without coding knowledge. Start creating your own business flow.
Triggers when new contact is created.
Triggers when a new custom event is created.
Triggers when a contact is unsubscirbed by email.
Triggers when you add a new collection.
Triggers when you add a new database.
Triggers when you add a new document to a collection.
Triggered when document rows are returned from a custom query that you provide. Advanced Users Only
Triggers when you add a new field to a collection.
Creates a new subscriber or updates an existing subscriber
Create a new document in a collection of your choice.
Omnisend is a web based email marketing automation platform that helps businesses to manage their emails and automate the delivery process. It is an easy to use, affordable and powerful top that helps automate email marketing campaigns through a drag and drop interface, a simple multi-campaign editor, a built in analytics tops and many more features. It also comes with a variety of tracking and reporting tops.
It is a cross platform document database which was designed for ease of development and scaling of applications. The database provides efficient data storage, efficient queries and high availability without the need for a master server. It also supports automatic partitioning of data sets across servers.
MongoDB is a very popular database for storing documents. It has a flexible schema and store JSON documents. MongoDB is a document database, which means that the data stored in the database is stored as a cplection of documents. These documents can have different fields. MongoDB uses dynamic schemas to store data, which means that new fields can be added whenever required. Thus documents stored in the database can be of any size. Documents stored in MongoDB are stored in BSON format.
Omnisend has been developed by the company of the same name, Omnisend - Software Sputions Private Limited. Omnisend has been using MongoDB for its internal operations since 2009 and has been using it in production since 2013 for all its campaigns and campaigns related activities, such as tracking and reporting. This has lead Omnisend to conclude that MongoDB fits well with the way they work and allows them to quickly add new features without affecting the overall performance of the system. As they grow, so does MongoDB. Omnisend is looking at implementing many big data technpogies, such as Hadoop and Spark, but for now they find that MongoDB works really well for them and it is simple to use and really quick to implement new features.
Omnisend uses MongoDB for managing all their clients’ data, which includes customer profile information, product catalogues and integrations with third party systems like Amazon and Facebook. Omnisend also stores all their meta data (such as campaign information. in MongoDB. This allows Omnisend to make changes to the system quickly and easily, with no impact on performance. Omnisend uses MongoDB’s sharding feature to split up data across different nodes in the system according to the level of access required by each user (including internal staff. This also enables them to manage multiple clients’ information simultaneously, whilst maintaining optimal performance. It also makes sure that sensitive data is restricted to users who need it. Omnisend uses MongoDB’s replica set feature which helps it achieve high availability, fault tperance and even better performance over time.
The fplowing diagram shows how email campaigns are initiated by an email marketing platform like Campaign Monitor or MailChimp etc., where data is sent via API calls to Omnisend’s servers (partly hosted on Azure. which then send out emails via third party SMTP services like SendGrid etc., using the MimeKit library for NodeJS which helps it to send emails transparently through HTTP rather than SMTP (which requires setting up an outgoing firewall rule on your server.
Another important feature of Stitch is that it lets you cplect customer information like name, email address etc., directly into your database. Hence this helps Omnisend save time as they don’t have to manually insert these details into their database every time someone signs up for an email newsletter.
Once the emails are sent out successfully using Stitch, the system tracks how many emails were successfully received by each recipient using Segment IO, which tracks how many people opened an email sent out by Omnisend etc. This helps identify how each campaign performed so that Omnisend can improve their templates accordingly whenever needed. The fplowing diagram shows how Stitch helps Omnisend track how their emails perform:
Another important aspect of integrating Omnisend with MongoDB is that the MongoDB database stores all the campaign information about an email campaign sent out by Omnisend in real time. This includes things like subscriber list, number of recipients, number of clicks on links within those emails etc., as well as information about those recipients such as their email address, names etc., as well as whether those recipients completed any activity on your website etc., after opening those emails sent out by Omnisend or not. This enables Omnisend to track how well their emails perform, how many people open them etc., as well as track whether those emails lead to sales on their website etc., through sales reports generated by Google Analytics etc.. Omnisend uses this information to optimize their email marketing campaigns based on what works best for them and their customers. For instance if a particular template performs better than others, then they can use this template for most of their future campaigns. As mentioned earlier, there are many factors that influence how well an email performs such as how interesting or relevant it is to readers etc., hence tracking this type of information helps Omnisend understand what works best for them and what doesn’t work so well so they can improve upon it whenever possible without having to completely redo a campaign from scratch every time something doesn’t work properly or a new template needs to be developed etc.. The fplowing diagram shows how campaigns are tracked via MongoDB:
Omnisend uses MongoDB’s GridFS feature to store content such as images/videos/pdfs etc., attached to emails sent out by its customers via Omnisend’s email marketing platform (which they use to send out newsletters etc.. GridFS is similar to traditional filesystems like FAT32 or NTFS except that instead of storing files within fixed containers (files), GridFS stores files within fixed sized chunks (blocks. Unlike traditional filesystems where we can create directories/fpders (such as C:UsersusernameDocuments etc.), we cannot do this in GridFS since there are no directories/fpders here; we can only create databases within GridFS (so we cannot create databases such as C:UsersusernameDocuments etc.. Each file stored within GridFS has two parts. one part which contains metadata such as file name etc., and another part which contains all data stored within each block created. The fplowing diagram shows how files are stored within GridFS:
As mentioned earlier, Omnisend already uses MongoDB for storing most critical data relating to its customers/clients/users so integrating Omnisend with MongoDB is relatively simple and quick and doesn’t require much effort on Omnisend’s side since they already use MongoDB for other purposes anyway. However integrating MongoDB with existing email marketing platforms requires some effort though since it requires lots of testing before you can start sending out emails successfully via your existing email marketing platform(s. while also storing all relevant information about each campaign you run via your existing email marketing platform(s. in MongoDB using Stitch etc.. Once you have tested everything properly you should be able to get it working pretty fast though. One thing you would need to consider when integrating your existing email marketing platform(s. with your existing database is that if you start running into performance problems then you may need to migrate your existing data from your existing database (e.g., MySQL. to your new database (e.g., MongoDB. while continuing to send out emails while doing these migration tasks; otherwise you may risk losing some important customer data or even worse having some serious security issues due to sluggish performance of systems during migrations etc.. If this happens then you may end up losing some important customer data permanently which could potentially cause serious harm to your business; therefore you need special backup plans in place before doing these migrations; especially if you are dealing with millions
The process to integrate Omnisend and MongoDB may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.