Top 19 Cloud Database Management Systems

Cloud Database: Defined

Cloud Database Marketplace is forecasted to reach $39.i billion by 2026, after growing at a CAGR of 31.4% during 2021-2026.
(1)

A cloud database defines a database management service, or a organization built on and accessed through a cloud computing platform. It is like the traditional database management service just uses the cloud as a differentiator.

Existence based on deject computing, cloud databases offer more flexibility, scalability, and security every bit compared to traditional databases. With more and more companies moving their databases to the cloud, the market is full of various cloud Database Direction System (DBMS) providers.

But before we look at the services and features offered past the leading Cloud DBMS providers, allow’s empathize the pop types of cloud database management models.

Different types of Cloud Database Management Systems

We know that cloud databases are congenital and accessed through the cloud – whether public, private, or hybrid. But what are the available options for their direction?

The database direction choices can be broadly categorized into three:

  • Self-managed cloud databases: As the proper noun suggests, this type of cloud DBMS offering is self-managed i.east., information technology is managed by the organisation itself. The service provider will non provide any management support – the user will have complete control over the database installed on the cloud.
  • Managed cloud databases: The managed cloud databases are the ones where the vendor takes care of the database management for their cease-users. Here, the control is in the hands of the provider – the configurations too will be limited to the vendor-supported configurations.
  • Automated deject databases: The automated and managed deject database model might seem the same – however at that place are a few differences. Unlike the managed databases, here the end-user has access to the database servers and can control database configurations and operations. Here, the cloud database service is accessed using APIs (application programming interfaces).

The vendor offerings we will discuss in this commodity – will largely autumn into any of the iii categories we discussed to a higher place.


Gartner Magic Quadrant for Cloud Database Management Systems

Enquiry giant- Gartner, recently published its Magic Quadrant for the deject database management systems, along with a list of features and services provided past the listed vendors.

By 2022, cloud database direction system (DBMS) revenue volition account for 50% of the total DBMS market revenue. –
Gartner

Source: Gartner

The balance of the article talks about the leading Deject DBMS providers according to the above quadrant – their services, strengths, and challenges.

Top Deject Database Direction System providers

1.
Alibaba Cloud

Alibaba Cloud database services are focused on continuous evolvement to address changing customer demands and needs associated with data security and analytics.

According to a recently released press release, Alibaba Cloud database products revenue has increased 50% YoY with 150,000 customers worldwide
(2).

Popular Cloud Database Services

Operational Database Services

  • PolarDB (Compatible with MySQL, PostgreSQL, and Oracle)
  • PolarDB-X
  • RDS
  • MyBase


Analytics Database Services

  • Analytics DB
  • MaxCompute
  • Data Lake Formation
  • E-MapReduce (EMR)

Full List:

https://world wide web.alibabacloud.com/product/databases

Strengths
  • Wide product portfolio with solutions focusing on the storage, processing, analytics, and management of information in the cloud
  • Supports all mainstream open-source and commercial database solutions
  • Highly scalable cloud database solutions to support large and growing customer base of operations
  • Bogus Intelligence (AI)-powered features similar automobile-recovery and auto-optimization
Challenges
  • The wide range of service offerings sometimes poses the challenge of service overlapping
  • Limited presence in the North America and Europe region
Position in Gartner’s Magic Quadrant for Cloud Database Direction Systems
  • Leader

two.
Amazon Web Services

(AWS)

Position in Gartner’s Magic Quadrant for Cloud Database Management Systems:
Leader Amazon Web Services, again, is known for its wide range of cloud database management services. Information technology offers deject database solutions by apply cases – making it easier for businesses to select a item utilise case and then choose the all-time-fit deject database.

From databases to managed traditional applications like ERP (Enterprise Resources Planning) to high-traffic gaming applications, AWS offers cloud databases for all major employ cases.

Popular Cloud Database Services
Relational Databases

  • Amazon Aurora
  • Amazon RDS
  • Amazon Redshift


Analytics Databases

  • Amazon Athena
  • Amazon EMR
  • Amazon Redshift


Fourth dimension series

  • Amazon Timestream (for IoT and DevOps applications)


Cardinal-value

  • Amazon DynamoDB

Full List:
https://aws.amazon.com/products/databases/?nc2=h_ql_prod_db

Strengths
  • Earth’s largest deject database service provider by the revenue
  • Wide range of cloud database solutions offered by employ cases
  • Powerful relational database services with micro to sub-millisecond latency
Challenges
  • Can lead to management overhead costs due to a wide range of toolkits and features integrated inside a solution
Position in Gartner’south Magic Quadrant for Cloud Database Direction Systems
  • Leader

3. Cloudera

Cloudera focuses on accelerating an organization’southward digital transformation journeying by making data and analytics accessible for everyone.

The Cloudera Data Platform (CDP) is based on this vision. It is the industry’southward first enterprise data deject. It delivers self-service analytics solutions across hybrid and multi-cloud environments.

Cloud database management system

Source: Cloudera

Information technology besides takes intendance of the granular security and governance policies required past various IT and data leaders.

The CDP is simple to utilise and secure past design and serves as a big information platform for both the business organization and the It. The CDP Hybrid Cloud further enhances its usability as information technology can run everywhere – on any cloud (public or private) and with whatever analytics. Its pop use cases include genomics and healthcare analytics, existent-time compliance monitoring, and Net of Things (IoT)-enabled predictive maintenance.

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Popular Cloud Database Services
  • CDP Information Hub
  • CDP Information Engineering science
  • CDP DataFlow
  • CDP Information Warehouse
  • CDP Operational Database
  • CDP Machine Learning

Full Listing:

https://www.cloudera.com/products/cloudera-information-platform.html

Strengths
  • The CDP supports both hybrid and multi-deject models, making information technology accessible across all major public clouds
  • It is open-source and thus supports open integrations and multiple computing architectures
  • Supports multiple apply-cases, making it platonic for optimizing the data lifecycle
Challenges
  • Phased rollouts can pose a challenge for erstwhile customers to adjust to the new changes
  • Pricing may seem to be costly to some
Position in Gartner’south Magic Quadrant for Cloud Database Management Systems
  • Visionary

4.
Cockroach Labs

Cockroach Labs cloud database offering includes CockroachDB Dedicated – a fully managed and hosted distributed SQL database service.

It is designed to meet the demands of modern applications.

It works on helping users focus on building innovative awarding compages past eliminating the need of provisioning databases. It can handle high value and stringent workloads as well.

Popular Cloud Database Services
  • CockroachDB Dedicated
Strengths
  • Distributed SQL architecture
  • Developer-friendly and node-based
  • Geo-partitioning capability to reduce latency and compliance problems
  • Runs on both AWS (Amazon Web Services) and GCP (Google Deject Platform) – every bit well as hybrid on-premises
Challenges
  • Niche utilise-cases
  • Might require additional database management expertise
  • Potent competition from CSPs
Position in Gartner’s Magic Quadrant for Cloud Database Management Systems
  • Niche Player

v.
Couchbase

Couchbase offers Capella – a fully managed database-as-a-service (DBaaS). It is designed to deliver flexibility and functioning at calibration for modern enterprise applications.

The memory first architecture helps it deliver blazing-fast performances in real-time. It offers hyper-scalability i.east., better price-performance as the user scales. It uses SQL to query JSON data and tin be deployed within a few clicks.

Popular Deject Database Services
  • Couchbase Capella
Strengths
  • Congenital for operation with responses delivered in milliseconds
  • Multimodel capabilities to run into various utilize cases
  • Offers lower TCO with operational transparency and licensing flexibility
Challenges
  • A new entrant as compared to the other DBMS providers
  • Lacks some of the belittling features
Position in Gartner’due south Magic Quadrant for Cloud Database Management Systems
  • Niche Role player

6.
Databricks

The Databricks Lakehouse Platform unifies data warehousing and AI on a single platform. The simplified approach to the modern data stack eliminates traditional data silos to aid businesses operate more efficiently and innovate faster.

Source: Databricks

Information technology is bachelor as Databricks Lakehouse Platform on Microsoft Azure – Azure Databricks, equally well as on AWS, GCP, and Alibaba Cloud.

Popular Cloud Database Services
  • Databricks Lakehouse Platform (Delta Lake, Data Engineering science, Machine Learning, Data Science, SQL Analytics, Platform Security and Assistants)
Strengths
  • Best of data warehousing and AI built and delivered upon a single platform
  • It is open-source – allowing easy sharing and building of modern data stack with unrestricted admission to the data projects and Databricks 450+ partner network
  • Highly scalable and back up for multiple employ cases
Challenges
  • Provides relational database capabilities on top of data lake storage – which is not up to the level of more mature relational databases
  • Entry of new market players and competitors for the Lakehouse concept
Position in Gartner’s Magic Quadrant for Deject Database Management Systems
  • Leader

vii.
Exasol

Exasol offers an analytical database service. With an MPP (massively parallel processing) compages and columnar database, it is built for delivering performance. Users can query billions of rows in seconds.

It offers a variety of deployment options as well – including SaaS (software-as-a-service), cloud, on-premises, and hybrid.

Furthermore, with automated query tuning, organizations can reduce maintenance and overhead costs.

Popular Cloud Database Services
  • Exasol Database
Strengths
  • Easy to use with multiple deployment options
  • In-retentivity, MPP, and columnar storage for fast performance
  • Automatic query tuning
  • Stiff expertise in analytics
Challenges
  • Relatively a new entrant
  • Offers a unmarried database production but
Position in Gartner’s Magic Quadrant for Cloud Database Management Systems
  • Niche Actor

viii.
Google

Google offers powerful and scalable deject database management solutions congenital on its Google Deject Platform.

It provides database migration and direction services also as database modernization services.

Popular Deject Database Services
Relational Databases

  • Blank Metal Solution for Oracle
  • Cloud SQL
  • Cloud Spanner


Key-Value

  • Cloud BigTable


Document

  • Firestore
  • Firebase Realtime Database


In-memory

  • Memorystore


Additional NoSQL

  • MongoDB Atlas
  • Google Deject Partner Services
Strengths
  • Google is a leader when information technology comes to AI and ML (machine learning) capabilities which serve equally a potent base for databases built on the GCP
  • Offers open cloud infrastructure where almost of the offerings are serverless
  • Meets 100% of the required criteria outlined by Gartner for operational databases
Challenges
  • Less comprehensive and various portfolio as compared to other cloud service providers
  • Lacks hybrid experience
  • User feel is still in the evolution phase
Position in Gartner’southward Magic Quadrant for Cloud Database Management Systems
  • Leader

ix.
Huawei Deject

Huawei offers Relational GaussDB (for openGauss), GaussDB (for MySQL), GaussDB Data Warehouse Service bachelor on Huawei CLOUD and Huawei Deject Stack (for on-premises deployment).

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It offers not-relational GaussDB (for Mongo), GaussDB (for Cassandra), GaussDB (for Influx) GaussDB (for Redis) and Hadoop-based big data platform FusionInsight.

Popular Cloud Database Services
  • GaussDB (for openGauss)
  • GaussDB (for Mongo)
  • RDS for MySQL
  • RDS for PostgreSQL

Total List:

https://world wide web.huaweicloud.com/intl/en-us/

Strengths
  • Multinational presence and a stiff telecommunication infrastructure
  • Strong presence in Asia
  • Breadth of cloud services and solutions
Challenges
  • A large portfolio of services can be a fleck confusing for users
Position in Gartner’south Magic Quadrant for Cloud Database Management Systems
  • Niche Role player

10.
IBM

IBM’due south Cloud Database service includes Deject Pak for Data. It is a unified platform that can deliver data fabrics to connect and admission siloed data stored on-premises or across multiple clouds without needing to move it.

The service was launched in 2018 and since and then, it has helped users unlock the value of their data and infuse AI throughout their concern. The latest version 4.0 – has further added intelligent automation to the service, helping business leaders tackle data complexity.

Pop Cloud Database Services
  • Cloudant
  • Databases for PostgreSQL
  • Databases for EDB
  • Db2
  • Db2 Warehouse

Full List: https://deject.ibm.com/catalog

Strengths
  • Purpose-built databases for various utilize cases and application needs
  • Wide range of data direction capabilities – data integration, information analytics, metadata, data science, and governance
  • Strong expertise in metadata direction and governance capabilities
  • ·AI and ML capabilities
Challenges
  • Fragmented databases may non marshal with the core vision
  • Fully managed “as a service” operations are currently but available in IBM Cloud
Position in Gartner’s Magic Quadrant for Cloud Database Direction Systems
  • Leader

xi.
InterSystems

InterSystems offers InterSystems IRIS – a next-generation data platform that delivers high-operation, interoperability, and analytics capabilities. It is a cloud-offset data platform and does not crave the integration of multiple technologies.

It is platonic for developing and executing critical and data-intensive analytic applications. It tin be deployed across all major public clouds including AWS, Microsoft Azure, GCP too equally individual clouds, on-premises, virtual machines, or bare metal environments.

Pop Cloud Database Services
  • InterSystems IRIS
Strengths
  • Supports the development of information-intensive applications
  • Supports machine-learning applications
  • Requires less coding and maintenance
  • Availability of multiple deployment options
Challenges
  • Late entrant in the market place in the managed DbPaaS space
  • Preferred in the healthcare sector
Position in Gartner’s Magic Quadrant for Cloud Database Management Systems
  • Challenger

12.
MariaDB

MariaDB offers SkySQL equally its cloud database service. SkySQL is designed to bring the full ability of MariaDB Enterprise to the cloud backed with powerful features and globe-course support.

It is ideal for mission-critical business organisation applications and for enterprise governance apps. Information technology complements automation with human expertise.

The service is too available on AWS and Google Deject.

Pop Cloud Database Services
  • SkySQL
Strengths
  • Deployment beyond 20+ regions spanning Europe, Asia-Pacific, and the Usa/Canada
  • Supports exponential growth with elastic scaling and distributed SQL capabilities
  • Availability of redundant database proxies
  • Acts as a single solution for all database needs
  • Built on a state-of-the-art cloud-doubter foundation
Challenges
  • Strong competition from native cloud service providers
  • Yet to grow in the commercial market – it is more preferred in the open-source space
  • A relatively new offering (launched in the market place in 2020)
Position in Gartner’south Magic Quadrant for Deject Database Management Systems
  • Niche Histrion

13.
MarkLogic

MarkLogic Information Hub Service is an on-demand and fully managed deject database service. It delivers a high-performance enterprise database solution with congenital-in governance and security for organizational data.

It is available on both AWS and Azure.

It tin run transactional, analytical, and operational applications at scale for a low cost. Further capabilities include smart mastering, multi-model, distributed transactions, semantic search, and more than.

Pop Deject Database Services
  • MarkLogic Data Hub
Strengths
  • On-need and fully managed service
  • High-operation and lower price
  • Available on AWS and Azure
  • One-click deject deployment with full automation
  • Built-in intelligence
Challenges
  • Strong competition
Position in Gartner’s Magic Quadrant for Cloud Database Management Systems
  • Visionary

14.
Microsoft

Microsoft offers a variety of fully managed, intelligent, and flexible deject database services beyond multiple use cases and types – relational, NoSQL, and in-memory. They are designed to fit the needs of modern application developers.

Most of the database infrastructure is automated – including the scalability, availability, and security that can relieve the time and money of the users.

The Azure-managed databases further help users focus on the core job of building applications past providing functioning insights via embedded intelligence and scalability.

Popular Deject Database Services
  • Azure SQL Database
  • Azure Database for PostgreSQL
  • Azure Database for MariaDB
  • Azure Creation DB

Full List:
https://azure.microsoft.com/en-us/product-categories/databases/

Strengths
  • Wide category of databases beyond multiple use cases
  • More than refined and comprehensive vision
  • Strong user customs and large ecosystem ensures low-adventure migration to the cloud
  • Follows a multimodel strategy for simplified deployment
Challenges
  • Pricing can exist complex and challenging for the end-users
Position in Gartner’s Magic Quadrant for Cloud Database Management Systems
  • Leader

15.
Oracle

Oracle offers a broad range of cost-optimized and high-performance cloud databases, including in-retentiveness, MySQL databases, NoSQL, etc.

The Oracle Democratic Database is available on-premises via Oracle Cloud Infrastructure or Oracle@Customer. Information technology can help users reduce operational costs with the awarding of multimodel converged databases and machine-learning-based automation for full lifecycle direction.

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Popular Cloud Database Services
Autonomously Managed Oracle Database

  • Autonomous Information Warehouse
  • Autonomous JSON Database
  • Autonomous Transaction Processing
  • Oracle Apex Awarding Development


MySQL Database Service with HeatWave

  • Oracle MySQL Database service
  • Heatwave


Central-value Database Back up

  • Oracle NoSQL Database

Full listing:

https://www.oracle.com/in/database/

Strengths
  • Delivers loftier performance with the use of AI and ML-assisted tuning
  • Leverages Oracle’s cloud infrastructure
  • Supports on-premises deployments and ExaCC with disaster recovery in the cloud via ExaData Cloud Service (ExaCS)
Challenges
  • Price issues when running virtual CPUs on other clouds
Position in Gartner’s Magic Quadrant for Cloud Database Management Systems
  • Leader

sixteen.
Redis

Redis offers Redis Enterprise Deject – a fully managed serverless cloud database service. Information technology is congenital for speed that enables sub-millisecond operation and up to 99.999% uptime for business organisation-critical applications.

It allows users to infinitely scale application information without compromising the performance. Information technology also allows the distribution of datasets across regions – clouds or hybrid environments.

Popular Cloud Database Services
  • Redis Enterprise Cloud
Strengths
  • High-performance and uptime guarantees
  • Optimized TCO (total toll of ownership) with pay per employ billing
  • Real‑time multicloud data layer
  • Single-digit seconds machine-failover time
  • Disaster recovery, instant failover betwixt regions, clouds, and hybrid deployments
Challenges
  • Limited support for SQL and relational paradigm
Position in Gartner’s Magic Quadrant for Deject Database Direction Systems
  • Challenger

17.
SAP

SAP database offerings include SAP HANA Cloud, SAP Adaptive Server Enterprise, SAP Data Warehouse Cloud, SAP IQ, and SAP SQL Anywhere for both analytical and operational utilise cases.

The SAP HANA Cloud is a fully managed in-memory cloud database-every bit-a-service (DBaaS). It can integrate data from beyond an enterprise and enable faster conclusion-making. It is ideal for edifice data solutions with modern architectures and gaining concern-ready insights faster and in real-time.

Pop Cloud Database Services
  • SAP HANA Cloud
  • SAP Data Warehouse Cloud
  • SAP IQ
  • SAP SQL Anywhere

Full List:

https://www.sap.com/republic of india/products/database-information-direction.html

Strengths
  • Offers a lot of features
  • Quite popular among the SAP customers
  • Multi, Inter, and Hybrid deject availability
Challenges
  • More pop amid the SAP users
  • Price and pricing estimation issues
Position in Gartner’s Magic Quadrant for Deject Database Management Systems
  • Leader

18.
SingleStore

SingleStore provides a fully managed and on-need cloud database service – SingleStore Managed Service. It is ideal for data-intensive applications.

It supports multiple deployment options – AWS, GCP, and Microsoft Azure too as a private deject. It supports the creation of information clusters within a unmarried click. Based on SQL – information technology has a distributed compages and is highly scalable.

Popular Deject Database Services
  • SingleStore Managed Service
Strengths
  • One-click deployment and like shooting fish in a barrel cloud scalability
  • Easier to operate and buy every bit compared to legacy data platforms
  • Supports multi-deject and hybrid deployment
  • Powered by patented Universal Storage
Challenges
  • Limited language back up – Java, Graph, Python, etc.
  • Limited SQL back up – like foreign keys, triggers, etc.
Position in Gartner’s Magic Quadrant for Cloud Database Management Systems
  • Niche Player

19.
Snowflake

Snowflake offers Snowflake Data Cloud – a single and comprehensive data platform with seamless data collaboration. Users get high performance, flexibility, and near-space scalability. It can ability an unlimited number of concurrent workloads.

It is an ideal solution for data warehousing, data technology, data scientific discipline, data application development, information lakes, etc.

Pop Cloud Database Services
  • Snowflake Data Deject
Strengths
  • Fully managed service with high scalability and performance
  • Fully automated
  • Seamless collaboration
  • Intelligent infrastructure
Challenges
  • Pricing and cost allocation issues
Position in Gartner’due south Magic Quadrant for Cloud Database Management Systems
  • Leader

Wrapping-up

Deject databases offer numerous benefits as compared to traditional databases. Apart from improved agility and scalability, they can also aid organizations subtract database management costs.

The option of deject DBMS will over again depend on the demand of the enterprise or individual users. There are databases that might exist a fit for belittling applications while others may be more suitable for internet-scale applications. With multiple utilize cases, organizations are likewise moving to multimodel cloud databases – wherein they become multiple data models within a single database.

We hope this article will aid you choose the correct cloud database management organization for your applications. Do allow u.s.a. know your thoughts through the comments section below.

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Sources:

  • 1 https://world wide web.industryarc.com/Research/Cloud-Database-Marketplace-Research-500760
  • 2 https://datastorageasean.com/news-press-releases/alibaba-cloud-database-products-revenue-increases-l-yoy-150000-customers
  • Report: https://www.gartner.com/physician/reprints?id=ane-28FSTKIO&ct=211215&st=sb

Disclaimer:
This article aims to provide data about the specific cloud database solutions of unlike vendors for general informational purposes but. Vendors may change their product or service pricing and features from time to time. It’s therefore advised in the involvement of the website visitor that before taking a decision or making a purchase, updated data should be verified from the respective vendor’due south site. This information has been sourced from the vendor websites and relevant resources bachelor in the public domain as of March 2022. Though we make best endeavors to ensure that the information is authentic and up to date, we do not guarantee its 100% accuracy or timeliness. Furthermore, this is non a ranking, the vendors take been listed in an alphabetical social club.

Source: https://www.dailyhostnews.com/top-19-cloud-database-management-system-providers