22 Best Database As A Service Providers In 2024

Ninox provides a drag-and-drop interface that allows you to build custom database applications without any programming expertise.

Why I picked Ninox: What impresses me about Ninox is that it comes with various database template options. For example, HR teams can use their leave planners, onboarding and offboarding catalogs, and time-tracking template. Admin teams can use inventory, contracts, and software license templates. More templates are available for ERP and accounting teams to jumpstart your projects.

Ninox Standout Features and Integrations:

Features I found valuable are that you can use Ninox on-prem, Ninox cloud, or get a dedicated server. You can access your data with its iPhone, iPad, Mac, and Android apps to ease your workflow further. It also provides features to easily create professional-looking forms and reports without any coding knowledge, customize the layout, fields, and colors to match your branding, and export them to PDF, CSV, or Excel formats for further analysis.

Integrations are available via Zapier, Make, and APIs.

Caspio is a low-code platform that allows businesses to create custom web applications and databases without extensive programming knowledge. Businesses that require a customizable and scalable solution that is easy to use and manage can find Caspio useful.

Why I picked Caspio: I included Caspio in this list because it has an intuitive, drag-and-drop interface and pre-built templates where users can easily build custom web forms, reports, and business applications. Users don’t need coding knowledge to create, publish, and manage online databases, and there are a variety of deployment options, including embedding apps within websites, sharing with others via URL, and integrating with external systems.

Caspio Standout Features and Integrations:

Features that I want to highlight here are that you can create responsive web apps with their application builder with point-and-click tools, use Caspio DataPages to create dynamic widgets, transfer data from various platforms like Box, Dropbox, Google Drive, and OneDrive, set fine-grained permissions down to individual tables, support multi-user access with password encryption and role-level privileges, and get support for a variety of file types like .txt, .csv, .xlsx, and .mdb.

Integrations are available natively for Salesforce, Microsoft 365 Excel, PayPal, Stripe, QuickBooks, HubSpot, Mailchimp, and Twilio, along with Zapier connection for other apps.

ScaleGrid is a DBaaS provider that lets you deploy your databases on public and private clouds and on-premises. ScaleGrid manages the infrastructure, which includes configuring, backing up, and securing the databases.

Why I picked ScaleGrid: I chose ScaleGrid because it lets you deploy and scale popular databases like Redis, MongoDB, MySQL, Greenplum, PostgreSQL, and SQL Server. You can even use your own cloud choosing from AWS and Azure. What is distinctive about ScaleGrid that I haven’t found in many options is that it provides SSH access to the underlying machine. With SSH access, users can directly interact with the server and perform actions outside the database's scope, such as installing additional software or tweaking server configurations.

ScaleGrid Standout Features and Integrations:

Features that I feel teams will find helpful are that you get a single console management even when you use multiple databases. It also provides fully customizable disk size, instance type, and RAM, and you can configure MySQL to perform repetitive tasks automatically and set schedules for backups.

Integrations are available natively for PagerDuty, Slack, Opsgenie, and Okta. APIs are available for integration.

Oracle Autonomous Database is a self-driving database that uses machine learning algorithms to automate database management, thus reducing human error and eliminating downtime.

Why I picked Oracle Autonomous Database: I picked Oracle because it can automatically configure workloads, scale computing resources as required, patch your database if there’s any vulnerability, identify system failures, and perform failovers without data loss. It offers quick performance because it is preconfigured with indexes, data caching, and row formats.

Autonomous Database Standout Features and Integrations:

Features that I feel that Oracle Autonomous Database has that are important for businesses looking for automated workflows are advanced database technologies like Real Application Clusters that help in scale-out and online patching, Active Data Guard for disaster recovery, Database In-Memory for high performance, and graph analytics to support complex data relationships.

Integrations aren’t listed, but they have a list of products that Oracle is compatible with, which include Siebel CRM, Oracle Peoplesoft, dbt, Oracle SQL Developer, Cognos, CData Sync, and Dataiku.

MongoDB’s DBaaS runs on major cloud providers like AWS, Google Cloud Platform, and Azure. It’s a document-oriented database that stores data in JSON-like documents, which makes it easy to represent hierarchical relationships and complex structures.

Why I picked MongoDB: A compelling reason for me to select MongoDB for this list is that it is a NoSQL database that allows businesses to store and manage unstructured data (such as social media updates). It scales horizontally, which helps distribute data, and its cross-region replication ensures that data is replicated in multiple regions and is highly available even if one region experiences an outage.

MongoDB Standout Features and Integrations:

Features that I feel distinguish it from other options are elastic scalability, which lets you adjust resources allocated to your database on demand without any manual intervention. This allows you to handle sudden rises in data volume or traffic without worrying about capacity limits. It also offers multi-cloud clusters, automatic load balancing for read and write operations, and supports high availability and disaster recovery.

Integrations are natively available via connectors, including Apache Spark, Apache Kafka, Tableau, Postman, Vercel, Mongoose, Prisma, and JDBC. APIs are also available.

ScyllaDB is a powerful NoSQL database specifically designed for modern data-intensive applications. With its low latency and high-throughput capabilities, ScyllaDB can efficiently handle large volumes of data in real time.

Why I picked ScyllaDB Cloud: If your organization works with big data, IoT devices, or other high-performance applications, I would recommend ScyllaDB. ScyllaDB works on both AWS and Google Cloud and provides the best CPU/RAM ratio and local NVMe storage that promises predictable performance and low latencies — it has single-digit millisecond p99 tail latencies. It is a distributed, multi-cloud, and multi-region DBaaS and is highly available with multi-zone deployment. ScyllaDB has a shard-per-core architecture that ensures high throughput.

ScyllaDB Cloud Standout Features and Integrations:

Features that I appreciate are that it can manage 1 million transactions per second on a single server, can accommodate new nodes easily, supports replication between nodes (which makes it fault-tolerant), compresses data on disk (which reduces storage requirements and increases performance), and has built-in caching that helps speed up data access.

Integrations are pre-built, including Apache Cassandra API, Apache Kafka, Prometheus, Grafana, Elasticsearch, and Apache Spark.

As businesses grow, they need a scalable database management system to support their operations. SAP HANA Cloud is ideal for growing teams as it offers high-speed data processing, real-time analytics, and advanced machine learning capabilities.

Why I picked SAP HANA Cloud: I like SAP HANA Cloud’s DBaaS offering because it has many functionalities to support scaling teams. It supports multiple data models, federates data from your on-prem, cloud, or third-party sources, runs intelligent data applications and analytics on petabytes of data, and uses machine learning and predictive analytics techniques. It also has in-memory capabilities that allow faster data processing, query response, and auto scalability to adjust resources.

SAP HANA Cloud Standout Features and Integrations:

Features that stand out for me are a multi-tenancy option where growing teams can share resources and costs but get robust security, a workload analyzer tool to analyze database performance with thread samples, HANA studio to gather data related to performance and find out the root cause of issues, and comprehensive disaster recovery support.

Integrations are available pre-built for various SAP products and services, such as SAP Analytics Cloud, SAP Data Intelligence, and SAP Cloud Platform. It also has a SAP integration service to bring blockchain data to your database.

IBM Db2 is a cloud-native database for real-time analytics and low-latency transactions that you can deploy on-prem, your preferred cloud, or in a hybrid environment.

Why I picked Db2: I chose Db2 for this list because it is a fully managed service on AWS or IBM Cloud and Kubernetes container that allows it to handle any amount of workload and also lets data flow from the Db2 database to a data warehouse for fast analytics. In addition, it also has in-memory computing options that can handle complex analytics workloads.

Db2 Standout Features and Integrations:

Features that I assessed and liked are access controls, the ability to share data with third parties without data duplication, support for open data formats, high concurrency without performance degradation, and advanced clustering and partitioning for improved analytics.

Integrations are native and include DataStage, InfoSphere Data Replication, Segment, IBM Data Studio, Aginity Workbench, Cognos, Looker, Tableau, Excel, and CLPPlus.

Fauna is a serverless, JAMstack-oriented, globally distributed database that seeks to simplify building applications with a flexible data structure.

Why I picked Fauna: I added Fauna to this list because it offers global distribution that allows you to store your data closer to your users, reducing latency and improving performance. Plus, it shards your data automatically across multiple nodes ensuring high availability and fault tolerance. Fauna is API-based and provides native GraphQL support, making it easier for developers to query and manipulate data — even with complex relationships.

Fauna Standout Features and Integrations:

Features that I liked about Fauna are that you can query a variety of data structures, including documents, graphs, and relational data. It’s also atomicity, consistency, isolation, and distribution (ACID) compliant, so you can ensure data consistency and integrity when your databases are distributed. It offers real-time streaming capabilities, which makes it easy to build event-driven architectures and real-time applications.

Integrations are available as pre-built options, including Netlify, Vercel, Microsoft Azure, Auth0, Cloudflare, AWS, Google Cloud, Okta, Retool, and Appsmith.

Google Cloud SQL is a fully-managed, relational database service for MySQL, PostgreSQL, and SQL Server.

Why I picked Google Cloud SQL: The primary reason I believe that Google Cloud SQL is a good fit for remote teams is that it offers easy and secure collaboration with team members through role-based access control and private IP connectivity to VPC networks. It also has a user-friendly web UI and command line interface for managing databases accessible by technical and non-technical users.

Google Cloud SQL Standout Features and Integrations:

Features that I want to highlight here are that it provides automatic backups and point-in-time recovery and enables scaling up or down of database instances to accommodate changing team needs. It also supports both standard and custom machine types for greater flexibility in performance and cost and has built-in monitoring and logging to troubleshoot issues.

Integrations are native and include connections with App Engine, Compute Engine, Google Kubernetes Engine, and BigQuery.