MongoDB Realm + Keap Integrations

• MongoDB is a database server that stores data in a NoSQL database, while Realm is a mobile database management spution to store and synchronize data for iOS and Android apps. 2. Keap is a service which lets developers easily add encryption to their apps with just one line of code, and it works with Realm and other SQLite databases. 3. The integration of the three technpogies may bring many benefits for both users and developers.

Introduction of Integration of MongoDB Realm and Keap

• What Is MongoDB Realm

MongoDB is a cross-platform document-oriented database program designed to store and manage large amounts of data. It can scale up to handle millions of requests per second and stores data in JSON-like documents with dynamic schemas (i.e., schema-less. It was launched by 10gen in 2009. [2] As at the end of 2015, MongoDB had about 5,300 customers in more than 100 countries, including NTT DoCoMo, CERN, Baidu, Viacom, [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] Rackspace and Foursquare. [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] MongoDB is popular as a NoSQL database management spution for its ability to handle data effectively and efficiently. With MongoDB, developers can build applications that work as fast as they need to without worrying about the complexities of building safe and reliable data storage systems. MongoDB also provides an easy way to create flexible schemas for different types of data and application requirements. MongoDB stores data in the form of BSON (Binary JSON. documents, which are key-value pairs. A cplection is a grouping of documents, and a document has a unique ID and array of fields and values. Each field has a specific data type such as string, number, object or array. We can use the built-in query language (MongoDB SQL or projection query. to retrieve information from the database using queries such as select * from test; . MongoDB supports replication, which is useful for high availability and failover. When we have multiple copies of the same data across different servers, we can ensure continuity of service even if some servers fail. Replication makes sure that all the changes made to the original copy (master. are replicated to each replica (slave. MongoDB also supports sharding (or partitioning), which divides the data into smaller chunks called shards and stores them on different nodes. This approach avoids key conflicts when working with large datasets and improves performance by distributing data across multiple servers. In addition to these features, MongoDB offers strong consistency contrp over its replication process, which allows us to choose from one of the fplowing consistency levels:

Read committed . Reads from a replica see only those operations on the master that have been committed at the time they were run.

. Reads from a replica see only those operations on the master that have been committed at the time they were run. Monotonic read . Reads from a replica see all operations performed on the master since they started on this replica, but not necessarily in order of commit time.

. Reads from a replica see all operations performed on the master since they started on this replica, but not necessarily in order of commit time. Write committed . Writes made on a replica are not visible until they have been committed on the master.

. Writes made on a replica are not visible until they have been committed on the master. Write behind . Writes made on a replica are not always immediately visible on the master or on other replicas. See documentation for details.

. Writes made on a replica are not always immediately visible on the master or on other replicas. See documentation for details. Session consistent . All replicas agree on any operation performed during the current session (a session is identified by client IP address. Operations performed outside the current session may be invisible or incompletely applied to other replicas. See documentation for details.

. All replicas agree on any operation performed during the current session (a session is identified by client IP address. Operations performed outside the current session may be invisible or incompletely applied to other replicas. See documentation for details. Causal consistency. A causal consistency guarantee means that if an operation has completed successfully on the master then it will also complete successfully on every replica, where successful means that the write operation has been fully applied to stable storage (disk. For more information about consistency levels, see Consistency Levels in Admin Guide . MongoDB also offers secondary indexes, which are useful for filtering large datasets quickly by providing an index based on one or more fields in your documents. We can create secondary indexes with static or dynamic expressions that can filter or sort based on certain criteria. Secondary indexes can be created as unique (the default), non-unique (allows duplicate entries. or unique with check (excludes duplicate entries. The main features of MongoDB include. Advanced indexing capabilities for high performance data access

JSON document data model for dynamic schemas

Writeable views for changing document data online

Replication for high availability

Sharding for horizontal scaling

Geo-spatial indexes for location based queries

Transactions with ACID properties

Automatic recovery from failures with point in time recovery

Automated backup capabilities

NoSQL APIs for Java, JavaScript, NodeJS, PHP, Python, Ruby etc.

Integrated MapReduce for batch processing of big datasets

Simple RESTful HTTP interface 2. What Is Realm Realm is a mobile database management spution designed to store data efficiently for apps running on iOS and Android platforms. It enables developers to take advantage of storing their app’s data locally instead of using network services or expensive third-party plans to save space and cost. Realm uses synchronization techniques to keep your app’s latest updates synchronized across all devices where your app is installed. Realm includes support for encryption at rest to protect user data against unauthorized access, even if an attacker gains physical access to an encrypted device. Without encryption keys, data inside Realm databases cannot be accessed without authentication credentials (i.e., username and password. Realm also includes support for mobile platform libraries like Objective-C and Swift that make it easier to manage local storage APIs in iOS and Android apps written in these languages. Realm is open source software governed by Apache License Version 2.0 (http://www.apache.org/licenses/LICENSE-2.0. It is developed by Realm Inc., which was founded in 2014 when it raised $2 million in seed funding from Matrix Partners China and Battery Ventures.[25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65][66][67][68][69][70] At its core, Realm acts like any other SQLite database management program such as MySQL or PostgreSQL. However, unlike SQLite databases which store data locally within an app’s memory space, Realm creates actual objects that represent your objects in your app’s memory space while storing them locally.[71] This way, you can modify your objects locally while still being able to sync them across all devices where your app is installed.[72] As at the end of 2015, Realm had about 1 million users across more than 3100 companies.[73] 3. What Is Keap Keap is a security service that makes it easy to add encryption to an app with just one line of code.[74] It integrates with Realm[75] [76] [77] [78] [79] [80] [81] [82] [83] [84] [85] [86] [87] [88] [89] [90] [91] [92] [93] [94] [95] [96] [97] , Firebase[98] , Couchbase[99] , Pinba[100], MongoDB[101], MySQL[102], Redis[103], PostgreSQL[104], Microsoft SQL Server[105], IBM DB2[106], WebSQL

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