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The list of products below is based purely on reviews (sorted from most to least). There is no paid placement and analyst opinions do not influence their rankings. Here is our Promise to Buyers to ensure information on our site is reliable, useful, and worthy of your trust.
SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading…
Couchbase provides a cloud database that offers the capabilities required for business-critical applications on a scalable and available platform. Couchbase is built on open standards, and aims to combine the best of NoSQL with the power and familiarity of SQL in order to simplify…
IBM Cloud Databases are open source data stores for enterprise application development. Built on a Kubernetes foundation, they offer a database platform for serverless applications. They are designed to scale storage and compute resources seamlessly without being constrained by the…
Oracle Autonomous Database provides a self-driving, self-securing, self-repairing cloud service that eliminate the overhead and human errors associated with traditional database administration. Oracle Autonomous Database takes care of configuration, tuning, backup, patching, encryption,…
Amazon Relational Database Service (Amazon RDS) is a database-as-a-service (DBaaS) from Amazon Web Services.
Cloudant is an open source non-relational, distributed database service that requires zero-configuration. It's based on the Apache-backed CouchDB project and the creator of the open source BigCouch project. Cloudant's service provides integrated data management, search, and analytics…
DB2 is a family of relational database software solutions offered by IBM. It includes standard Db2 and Db2 Warehouse editions, either deployable on-cloud, or on-premise.
MemSQL is a NoSQL database offering from the company of the same name in San Francisco.
DigitalOcean is an infrastructure-as-a-service (IaaS) platform from the company of the same name headquartered in New York. It is known for its support of managed Kubernetes clusters and “droplets” feature.
Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.
Azure SQL Database is Microsoft's relational database as a service (DBaaS).
RavenDB is a NoSQL Document Database that is fully transactional (ACID) across the database and throughout clusters. It is presented as an easy to use all-in-one database that minimizes the need for third party addons, tools, or support to boost developer productivity and get projects…
Amazon Aurora is a MySQL compatible relational database system from Amazon Web Services.
Google Cloud SQL is a database-as-a-service (DBaaS) with the capability and functionality of MySQL.
Caspio is an all-in-one solution providing the infrastructure, tools and support that allows users to create customized online databases, applications, reports, forms, and charts/graphs. The point-and-click interface requires no coding experience and apps can be integrated into any…
Microsoft Azure Cosmos DB is Microsoft's Big Data analysis platform. It is a NoSQL database service and is a replacement for the earlier DocumentDB NoSQL database.
DigitalOcean's Droplets is designed to help the user spin up a virtual machine in just 55 seconds. Standard, General Purpose, CPU-Optimized, or Memory-Optimized configurations provide flexibility to build, test, and grow an app from startup to scale.
The InfluxDB is a time series database from InfluxData headquartered in San Francisco. As an observability solution, it is designed to provide real-time visibility into stacks, sensors and systems. It is available open source, via the Cloud as a DBaaS option, or through an Enterprise…
MongoDB Atlas is the company's automated managed cloud service, supplying automated deployment, provisioning and patching, and other features supporting database monitoring and optimization.
Oracle offers their DBaaS, the Oracle Database Cloud Service, touting high availability, scalability, available managed or under enterprise control.
The Aerospike Real-time Data Platform aims to enable organizations to act instantly across billions of transactions while reducing server footprint up to 80%. The vendor states Aerospike multi-cloud platform powers real-time applications with predictable sub-millisecond performance…
Google Cloud Datastore is a NoSQL "schemaless" database as a service, supporting diverse data types. The database is managed; Google manages sharding and replication and prices according to storage and activity.
VMware Tanzu Data Services is a portfolio of on-demand caching, messaging, and database software on VMware Tanzu for development teams building modern applications.
Google Cloud Spanner is a cloud database-as-a-service product offered as a service on Google Cloud Platform (GCP).
Database-as-a-Service (DBaaS) is a cloud-based data management and storage solution hosted by outside vendors. These third parties take responsibility for providing deployment, management, configuration, and updating services for the database. DBaaS options can be Many DBaaS options also provide automated data backup and multi-cloud support features,
DBaaS forgo the need for on-premises, physical database solutions, making them efficient solutions for businesses with serverless architectures or limited IT resources. Additionally, since the vendor handles all management and administrative duties of DBaaS service, they reduce cost and labor expenditure for IT departments. DBaaS storage is scalable, so owners only pay for what they use, and they can adjust their service plans according to their needs.
DBaaS is essentially a platform that combines Cloud Storage with Managed Private Cloud Services to create an efficient and cost-saving solution for small- to medium-sized teams to handle their data storage needs
DBaaS typically include the following features:
When choosing the best DBaaS product for you, consider the following:
Data properties. The best DBaaS solution for you may depend on the type of data you intend to store. Some DbaaS facilitate better access speeds for certain data types. This is an especially important consideration if you intend to use DBaaS to house application development, as the right (or wrong) DBaaS can affect latency, accessibility, and security. For example, if you plan to store unstructured data like real-time application queries, media files, or data from the Internet of Things, you’ll want to consider a NoSQL (“non-relational”) DBaaS solution like MongoDB Atlas.
Hybrid deployment. One of the benefits of DBaaS is its ability to eliminate the need for physical infrastructure to host your database. However, you may find value in a service that allows for on-premise storage, as that will increase your database access options. While this does increase cost, it may be offset by the ability to access stored assets if the DBaaS vendor experiences downtime. DataStax Enterprise provides native cloud, multi-cloud, and hybrid services, granting a wide range of deployment options.
Data privacy. Regardless of which service you choose, you’ll want to consider the security features of your DBaaS provider, especially if you plan to store sensitive information. If the data you work with is subject to privacy regulations like the GDPR or HIPAA, you’ll want a database that is compliant with these standards. Otherwise, you run the risk of incurring steep fines or penalties. For example, Microsoft Azure SQL Database hosts data servers in 50 different regions across the world, so make sure that you can ensure regulation compliance with this service.
Team size. You’ll want to consider your team’s size when choosing a DBaaS solution. There are many reasons team size is important, but the most immediate is because that will affect DBaaS cost. Pricing plans tend to consider the number of anticipated users or the amount of used storage. Both of these are directly related to the number of people using the database. If you have an enterprise-size team, you’ll want to consider the pricing plans offered by services like Redis Enterprise Cloud, as they can create plans to reduce unnecessary expenditure. Conversely, smaller teams may find the free or per-user pricing plans offered by Amazon Relational Database Service to be more economical.
There are free plans for DBaaS use, which place hard limits on storage ranging between 512 MB to 15 GB, with comparatively limited upload speed, data recovery options, and other features compared to paid price plans. Paid price plans can vary between $25 and $100 per month per user at the lowest subscription tiers. Several plans instead charge for space used or per hour of uptime. Many vendors also offer customized pricing quotes.
The following resources should be helpful in determining with DBaaS solution is best for you:
