Selecting the Right AWS NoSQL Database Services

Selecting the Right AWS NoSQL Database Services

So, what exactly is an AWS NoSQL database Service?

In the AWS NoSQL database, you can keep data with a schema that can be changed and different data models that can be used. These databases provide the high performance and functionality required by modern applications and are also reasonably simple to use for developers. In spite of their capacity for storing vast amounts of data, NoSQL AWS databases have remarkably low latency.

Within the AWS NoSQL database solutions, you can choose from a number of managed and self-managed database services, in addition to six distinct flavors of NoSQL databases. You can rest assured that your cloud-native workloads will be supported by these database services and that they will function seamlessly with your current AWS infrastructure.

Some Background on the AWS NoSQL Database Trend

NoSQL was first defined by Carlo Strozzi in 1998 to describe a type of open-source relational database that did not rely on the SQL query language. It wasn’t until 2009, though, that the word was once again used in all databases that weren’t structured as relations. Depending on the specifics of the database in question, this word can refer to either a lack of SQL or a lack of reliance on SQL.

The proliferation of web data necessitated the creation of AWS NoSQL databases because of the growing importance of processing speed and the requirement to deal with unstructured data. Using a distributed architecture, these systems may be made to grow as needed and perform tasks closer to the data’s or user’s origin, which improves performance. This was crucial for the expansion of big data, and it prompted many internet giants, like Google, Facebook, and Twitter, to adopt NoSQL systems.

Amazon Web Services provides a number of different NoSQL database types.

• In AWS, you can select from six distinct NoSQL database implementations
• Information Systems That Store Information Based on Keys and Values

Key-value databases let you save information in the form of pairs, each of which consists of a key and its associated data value. Values are not bound to a certain table, so the storage structure is malleable and may accommodate data of varying sizes and formats. Large amounts of data or queries are no problem for these databases. In addition to video games and e-commerce platforms, key-value databases are also useful for handling heavy traffic loads in other industries.

Amazon DynamoDB, a service offered by Amazon Web Services

Databanks for Documents

Similar to key-value databases, document databases store data in the form of documents expressed in a markup language such as JSON, XML, or YAML rather than as individual values. These databases allow you to store hierarchies of data through the linking of documents. Users can create profiles, browse catalogs, and manage information using a document database.

• Amazon Web Services product names: Amazon Document DB and Amazon DynamoDB
• Databases with wide columns

The tables in a wide-column database don’t need to adhere to any particular column width or column number. Each cell in a row isn’t required to have a value, and it’s possible to merge rows and columns that use incompatible data formats. Cases were broad, where broad column databases shine in planning, fleet management, and industrial maintenance.

Cloud service: Amazon’s Key spaces (for Apache Cassandra)

Stored Graph Data

Databases that store information as graphs are made up of sets of nodes and edges. Data is represented as a network where nodes contain individual values and edges represent associations between those values. When compared to a traditional database, which stores information in a rigid table, these databases are more akin to a natural network. Recommender systems, social networks, and detecting fraud are all possible applications for graph databases.

• Specifically, Amazon Neptune is a service provided by Amazon Web Services

Time-Series Data Archives

Information in a time series database is kept in a sequential format across time. Instead of sorting information based on values or identifiers, it is organized according to timestamps associated with its collection, ingestion, or other metadata. Date-based database management and queries are now possible. Time series databases have a variety of applications, including industrial telemetry, software development operations (Seattle), and the Internet of Things (IoT).

• Amazon Timestream, a product of Amazon Web Services

Transaction Registers

Logs are the foundation of ledger databases, and they keep track of activities that have an effect on the values stored in the database. These records cannot be altered or falsified and their authenticity and integrity may be validated cryptographically. Finance, registration, logistics, and other back-end operations all benefit from using ledger databases.

• Amazon Web Services’ Quantum Ledger Data Storage (QLDB)
• Amazon Web Services’ Non-Relational Database Options

It is possible to select a database service purely on the basis of the database type you require. But before deciding, it’s good to learn about the different options AWS provides and how they work. If you find that these services are missing important functionality, you may want to consider alternatives.

Learn more about database-as-a-service with Amazon Web Services by reading our tutorial.

• DynamoDB, a Relational Database Service Offered by Amazon

Documents and keys can be stored in Amazon’s DynamoDB. It’s a managed service that takes care of everything from backups to restores to caching in memory to security to a distributed system that spans multiple regions and uses multiple masters. By design, DynamoDB is capable of ACID transactions (atomicity, consistency, isolation, durability) and encryption.

• Our pricing information for DynamoDB can be found here
• Elastic ache, available on Amazon

When you need a database but don’t want to deal with disks, utilize Amazon ElastiCache instead. Memcached and Redis are both fully supported, and memory sharding is used to increase capacity. It is frequently employed for queuing, real-time analytics, caching, and session storage due to its ability to handle response times on the order of milliseconds.

Neptune, the Amazon

Graph databases like Amazon Neptune are ideal for storing information about massive networks of interconnected nodes and vertices. The W3C’s RDF, Property Graph, SPARQL, and Tinker Pop Gremlin are among the graph models and query languages it supports.

Data replication across several zones, continuous backups, and read replicas are just some of the Neptune-supported features. Additionally, it offers both in-transit and at-rest encryption support for ACID transactions.

Amazon.com’s Timestream

Using an adaptive query processing engine, Amazon Timestream is a fully managed database for time series. As a server-free service, it handles everything from updates to installations for you.

Automatic data compression, tiering, retention, and rollups are all available in Timestream. To round out its functionality, it incorporates analytics for smoothing, interpolating, and approximating data right out of the box.

Qualified Logic Database from Amazon

With Amazon QLDB, you can keep tabs on your data modifications with the use of a ledger database. It’s fully controlled and made so you don’t have to deal with the complexities of setting up a database to handle your ledger data the way a blockchain or relational database would.

QLDB has an API that is similar to SQL, supports transactions, and it has a document database that can be easily modified. Features like auto-scaling, ACID-compliant transactions, availability in several regions, and Kinesis Data Streams-powered data streaming are all a part of it.

With Amazon Document DB, you get all the benefits of a MongoDB-compatible document database without any of the hassles. This architecture of Document DB allows for higher scalability and flexibility by separating computing and storage resources. In addition, the AWS Database Migration Service is at no cost, and you can have as many as 15 read replicas spread over three availability zones.

Amazon Keys for Accessing Secure Areas

Amazon Key spaces is an Apache Cassandra-compatible managed wide-column database. With it, you can move your Cassandra workloads and apps without having to abandon your investment in the native Cassandra code and tools. Automatic scalability is supported, and you may choose between elastic and fixed resource allocations.

NetApp’s Cloud Volumes ONTAP and Amazon’s DynamoDB

Secure, tried-and-true storage management services are available on AWS, Azure, and Google Cloud with NetApp Cloud Volumes ONTAP, the industry-leading enterprise-grade storage management solution. High availability, data protection, storage efficiency, Kubernetes integration, and more are just some of the characteristics that make Cloud Volumes ONTAP a great choice for any enterprise application, from file services and databases to DevOps and everything in between.

To be more specific, Cloud Volumes ONTAP helps bridge the gap between your cloud-based database’s capabilities and the public cloud resources it operates on, which is a common problem for cloud-based applications.

Volumes of Clouds ONTAP has sophisticated cloud SAN management tools, including support for NoSQL databases and NFS files that can be accessed from cloud-based big data analytics clusters.

Also, NoSQL cloud implementation expenses can be lowered by using the system’s preconfigured capabilities to maximize storage efficiency. Snapshots and data cloning are two of the many capabilities that help AWS NoSQL database managers and big data technologists manage massive amounts of data safely and efficiently.

Conclusion

If you are trying to decide on which NoSQL Database service to use when hosting your application on AWS, this article can help you make that decision. We have given you reasons why you should choose each of the AWS NoSQL Database services, along with the results of a poll that we did to determine the top three NoSQL Database services for AWS. We hope that you find this information helpful in your decision!

About Enteros

​Enteros offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of RDBMS, NoSQL, and machine learning database platforms.