Top Trending 2022
The migration of database management solution to the cloud is developing an increasingly complicated environment of suppliers and capabilities. This trending DMS solutions list will assist data and analytics leaders in navigating a market that is complex and rapidly expanding.
Strategic Planning Hypotheses
By 2025, cloud preference for data management will significantly reduce the vendor landscape, yet multicloud development will raise the complexity of data governance and integration.
By 2022, cloud-based database management system (DBMS) revenue will account for fifty percent of the market's overall DBMS revenue.
Definition/Description of the Market
The cloud DBMS market is defined as follows. Provider-managed public or private cloud software systems that manage data on cloud storage are fundamental skills. A cloud storage layer stores the data (such as a cloud object store, distributed data store or other proprietary cloud storage infrastructure). They may optionally support different data models and data formats, including relational, non-relational (document, key value, broad column, graph), geospatial, time series, and others.
These DBMSs support transactions and/or analytical processing for at least one of the following use cases:
> Traditional transaction processing and enhanced transaction processing
> Logical and conventional data warehousing
> Data science exploration/deep learning
> Event/stream processing
> Operational intelligence
This market excludes providers of DBMSs hosted on infrastructure as a service (IaaS), such as virtual machines or containers, and maintained by the customer.
Top Trending Vendors
Alibaba Cloud
Its products are primarily geared toward operational and analytical databases, in addition to a vast array of cloud-based services. Its primary businesses are based in China and Asia, but its footprint in Europe and North America is expanding. Singapore is its international headquarters.
Amazon Web Hosting
It provides various database administration services. Some are geared towards operational use cases, such as Amazon Relational Database Service (RDS), Amazon Aurora, and Amazon DynamoDB. Others, such as Amazon Redshift, Amazon Athena, and Amazon EMR, are designed for use cases involving analytics. AWS also provides memory-intensive services and products for certain use cases. With the AWS Nitro System, AQUA (Advanced Query Accelerator) for Amazon Redshift, and hardware-assisted Redshift RA3 nodes, AWS is able to provide infrastructure-level capabilities for cloud DBMS. AWS is the world's largest cloud service provider in terms of revenue, with a global presence and clients in all major industries.
Cloudera
Cloudera Data Platform (CDP), comprised of CDP Data Hub, CDP DataFlow, CDP Data Engineering, CDP Operational Database, CDP Data Warehouse, and CDP Machine Learning, provides operational and analytic applications. Cloudera Workload XM is utilised for workload migration, analysis, optimization, and scaling. Cloudera Shared Data Experience (SDX) delivers unified security, governance, and metadata management for intercloud and multicloud environments.
The majority of Cloudera's global activities are concentrated in North America and Europe, primarily in the financial services, healthcare, retail, and utilities industries. Recent expenditures have centered on delivering cloud-native services, increasing operational DBMS, and finishing the integration and alignment of the old Cloudera and Hortonworks capabilities.
Cockroach Labs
It operates in numerous markets, including retail and finance. It provides CockroachDB Dedicated, which is accessible via AWS and Google Cloud Platform (GCP). CockroachDB dedicated is a managed product for a single customer. CockroachDB Serverless is a serverless, multitenant service. CockroachDB Dedicated is designed primarily for use applications requiring consistent write operations across geographically scattered systems.
Couchbase
It is a new competitor. Its multimodel DBMS is rooted in high-performance nonrelational operational databases, with a recent emphasis on relational capabilities such as SQL, schema, and transactions, as well as expanding hybrid analytical use cases and cloud provider compatibility. Its primary operations are focused in North America, but it also has a considerable presence in Europe and is expanding in the Asia-Pacific area. It is widely present in all of the key market segments.
A significant portion of Couchbase's plan focuses on enhancing its real-time analytics, increasing its cloud capabilities, and ensuring its availability on top cloud platforms. Currently, it is not positioned for usage in data warehouses or data lakes, but its analytics service is widely used for operational intelligence.
Databricks
Databricks Lakehouse Platform is available on Microsoft Azure (Azure Databricks), AWS, Alibaba, and Google Cloud Platform. Lakehouse Platform is comprised of data stored in a data lake, including open-source formats, which can also be accessed via Delta Lake, which adds metadata and structures to the underlying data to provide some of the features of a standard data warehouse. Databricks also provides Solution Accelerators, which are preconfigured notebooks geared for particular use cases and industries.
Exasol
It has its headquarters in Nuremberg, Germany, and debuted this year. It delivers the in-memory analytics database Exasol database. Exasol is a vendor specialising in analytics database solutions, including data warehouse and data lake. Historically, the majority of its business has been conducted in Europe, but the company is now now present in North America and the Middle East. Exasol has extensive data warehousing experience, beginning with an on-premises offering. Its product provides the key features that clients in this market anticipate, including in-memory, columnar, data lake integration, and machine learning capabilities (ML).
Google
Google Cloud Platform supports a variety of database platform as a service (dbPaaS) products, including fully managed versions of products from third-party providers as well as its own products, including Google Cloud SQL, Cloud Spanner, Cloud Bigtable, BigQuery, Dataproc, Cloud Firestore, and Firebase Realtime Database. Both transactional and analytic use cases are addressed. BigQuery Omni, a multicloud service that enables GCP users to access data via BigQuery on other CSPs' platforms, demonstrates Google's commitment to openness. Google Dataplex, which serves as the foundation for GCP's data fabric and unified data ecosystem concept and became broadly available in October 2021, was also recently revealed.
IBM
Its offers revolve around Cloud Pak for Data, a Red Hat OpenShift-based universal integration layer for containerized DBMS services. Cloud Pak for Data is a platform for numerous other IBM data management offerings, such as IBM Db2 on Cloud, IBM Db2 Warehouse on Cloud, IBM Cloud SQL Query, IBM Cloudant, the IBM Cloud Database family, and IBM Event Streams, as well as managed services for third-party offerings. The IBM Cloud Database family includes PostgreSQL, MongoDB, Elasticsearch, Redis, RabbitMQ, DataStax, EnterpriseDB, and etcd among its managed data technologies. IBM Db2 is also compatible with IBM Cloud, AWS, and Microsoft without the need for Cloud Pak for Data. IBM operates in every industry and organisation size on a worldwide scale. IBM makes extensive investments in advanced data management technology.
HUAWEI CLOUD
GaussDB(for openGauss), GaussDB(for MySQL), GaussDB Data Warehouse Service, nonrelational GaussDB(for Mongo), GaussDB(for Influx), GaussDB(for Cassandra), GaussDB(for Redis), and Hadoop-based big data platform FusionInsight are available on Huawei CLOUD and Huawei CLOUD Stack (for on-premises deployment).
HUAWEI CLOUD is largely active in the Asia-Pacific area, with a limited presence in the Middle East, Africa, and Latin America. Public administration, telecommunications, and banking and insurance make for more than fifty percent of the vendor's cloud DBMS market share. The vendor's primary objective is to deliver a comprehensive hybrid stack for the entire spectrum of data management use cases.
InterSystems
It offers InterSystems IRIS, a multimodel, hybrid database management system that supports both relational and non-relational data models for transactional and analytical workloads. InterSystems also has numerous clients who continue to utilise its InterSystems Cache offering. Geographically diverse operations are conducted by InterSystems. Its consumers are typically of various sizes. In addition to the healthcare industry, the vendor also serves the manufacturing, financial services, government, and retail sectors, among others. Currently, InterSystems IRIS is offered as a public, fully managed dbPaaS on AWS, GCP, Microsoft Azure, and Tencent. A fully managed, private version of dbPaaS is also available.
Microsoft
It includes Azure Synapse Analytics, Azure SQL Database, Azure SQL Managed Instance, Azure Cache for Redis, Azure SQL Edge, Azure Cosmos DB, Azure HDInsight, and Azure Database for PostgreSQL, MySQL, and MariaDB. Microsoft provides a comprehensive ecosystem for cloud data management that encompasses all use cases analysed. Its operations are geographically dispersed, and its customers represent a broad spectrum of sectors and deployment sizes.
Oracle
Oracle Cloud Infrastructure (OCI) and Oracle Exadata [email protected] (ExaCC) offer Oracle Autonomous Database (including Autonomous Transaction Processing and Autonomous Data Warehouse services). Oracle provides also Autonomous JSON Database, Oracle MySQL Database Service, Oracle NoSQL Database, and Oracle Big Data Service. Oracle Dedicated Region [email protected] is a private cloud that operates all Oracle cloud services in the data centre of the customer. Oracle's operations are spread across geographically. The provider has clientele of all sizes and from all industries.
Redis
Redis Enterprise Cloud is accessible on AWS, GCP, and Azure, whereas Redis Enterprise Software is available for on-premises deployments. Its products are based on the open-source Redis software. Redis operates largely in North America, EMEA, and the Asia-Pacific area, although Latin America is also a significant market. Its presence in the rest of the world is limited. Redis has clients across a vast array of industries, both large and small. Redis Enterprise Cloud is an in-memory, nonrelational, multimodel data store with features suitable to operational DBMS use cases and enhanced transaction processing. Particularly notable are its adaptable data structures and integrated support for transaction enhancement via RedisGears and RedisAI. It is a viable alternative to a traditional data grid.
SAP
SAP HANA Cloud, SAP Data Warehouse Cloud, SAP Adaptive Server Enterprise, SAP IQ, and SAP SQL Anywhere are among its products. Both operational and analytical DBMS use cases are addressed by the products. SAP operates globally from multiple sites. It serves enterprises of all sizes and in all industries. For analytical use cases, the company provides SAP Data Warehouse Cloud for SQL-based development of data warehouses for SAP and non-SAP data, as well as SAP BW/4HANA, an on-premises and cloud-deployable packaged data warehouse application.
SAP HANA is accessible as a fully managed service, an appliance, a virtual computer, and as software on different public clouds.
SingleStore
SingleStore Managed Service is a fully managed, on-demand cloud database service that is compatible with the MySQL wire protocol. It is deployable on AWS, GCP, and Microsoft Azure, as well as private clouds, IBM Cloud Pak for Data, and Red Hat OpenShift. SingleStore principally conducts business in North America and Europe. Its presence in the rest of the world is limited. Customers in information management, technical services, banking and insurance, as well as other industries, range from small to large. SingleStore offers a Universal Storage solution that combines the characteristics of in-memory row store, on-disk column store, and cloud object storage to facilitate high-performance use cases for both transactions and analytics.
Snowflake
The Snowflake Data Cloud, which is accessible on AWS, GCP, and Microsoft Azure, focuses on delivering a global, analytics-centric data environment for data warehouse as a service, data lake, and data marketplace delivery. The platform also supports document-style data (such as JSON), data science, and Virtual Private Snowflake, a private cloud solution that is not available on-premises. Snowflake primarily operates in North America, but continues to gain ground in EMEA and Asia-Pacific. Its clients span numerous sectors and deployment sizes.
Teradata
It focuses on examples of analytical use. Teradata Vantage delivers a unified set of analytic capabilities in the Teradata database, including graph processing, machine learning, and text processing.
The operations of Teradata are regionally diverse. Customers are often substantial and from several industries. Teradata continues to invest in its hybrid multicloud ecosystem, which unites several types of database architectures and analytics on a unified platform. Teradata Vantage is consistently offered across numerous public clouds, the Teradata cloud service, and on-premises.
Explore more top trending software for 2022:
Explore more top trending software for 2022:
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