Best Database as a Service (DBaaS) Providers - Page 2

High-performance cloud infrastructure at affordable prices. Manage easily with an intuitive interface. No tech expertise is needed. 24/7 dedicated team, personalized assistance, and answers. Advanced encryption, authentication, and 24/7 monitoring. Competitive prices without compromising quality. Turn your idea into a solution with Utho Cloud products and services, build any solution. Save time by deploying any app at just a click from our 1 click deploy apps and go live in minutes. Finding the right cloud can be hard, especially with the best available options where developers can access cloud resources from anywhere and anytime. Deploy cloud resources from seven data center locations across the globe to provide the lowest latency for the best user experience. We know how important support is for you, We're just a call, WhatsApp, or email away to help you at any time you need. Our pricing is transparent and pay only what you use.

Google Cloud Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads. Fast and performant: Use Cloud Bigtable as the storage engine that grows with you from your first gigabyte to petabyte-scale for low-latency applications as well as high-throughput data processing and analytics. Seamless scaling and replication: Start with a single node per cluster, and seamlessly scale to hundreds of nodes dynamically supporting peak demand. Replication also adds high availability and workload isolation for live serving apps. Simple and integrated: Fully managed service that integrates easily with big data tools like Hadoop, Dataflow, and Dataproc. Plus, support for the open source HBase API standard makes it easy for development teams to get started.

TencentDB for MySQL makes it easy for you to deploy and use MySQL database, one of the world's most popular open source relational database, in the cloud. TencentDB for MySQL is cost-efficient and flexible; it only takes minutes to deploy a scalable MySQL database instance and you can resize your hardware capacity without shutting down your machines. It comes with a full set of streamlined database OPS solutions, including backups, rollbacks, monitoring, fast scaling and data transfer, freeing you up to focus your energies on developing your business. You can launch and connect to a production-ready MySQL database in minutes with just a few clicks in the TencentDB for MySQL console. TencentDB for MySQL comes with preset parameters and settings tailored for your server, and you can further refine and customize your MySQL database settings via the database parameter group.

Distributed Relational Database Service (DRDS) is a lightweight, flexible, stable, and efficient middleware product developed by Alibaba Cloud. DRDS focuses on expanding standalone relational databases, and has been tested by core transaction links in Tmall, such as during the Singles’ Day Shopping Festival. DRDS has been used for ten years and is a trusted database service provider. Supports cluster-based data read and write and data storage. DRDS operates on multiple standalone servers, and performance is not affected by the number of user connections. Supports upgraded and downgraded data configurations, and the visualized scale-up and scale-out of data storage. Provides read and write splitting to linearly improve the reading performance. Supports multiple data splitting methods based on data types, such as parallel data splitting. Focuses on the primary shards of the database and supports parallel query execution.

Reduce latency with scalable, secure, and highly available in-memory service for Redis and Memcached. Memorystore automates complex tasks for open source Redis and Memcached like enabling high availability, failover, patching, and monitoring so you can spend more time coding. Start with the lowest tier and smallest size and then grow your instance with minimal impact. Memorystore for Memcached can support clusters as large as 5 TB supporting millions of QPS at very low latency. Memorystore for Redis instances are replicated across two zones and provide a 99.9% availability SLA. Instances are monitored constantly and with automatic failover—applications experience minimal disruption. Choose from the two most popular open source caching engines to build your applications. Memorystore supports both Redis and Memcached and is fully protocol compatible. Choose the right engine that fits your cost and availability requirements.

ApsaraDB for Redis is an automated and scalable tool for developers to manage data storage shared across multiple processes, applications or servers. As a Redis protocol compatible tool, ApsaraDB for Redis offers exceptional read-write capabilities and ensures data persistence by using memory and hard disk storage. ApsaraDB for Redis provides data read-write capabilities at high speed by retrieving data from in-memory caches and ensures data persistence by using both memory and hard disk storage mode. ApsaraDB for Redis supports advanced data structures such as leaderboard, counting, session, and tracking, which are not readily achievable through ordinary databases. ApsaraDB for Redis also has an enhanced edition called "Tair" . Tair has officially handled the data caching scenarios of Alibaba Group since 2009 and has proven its outstanding performance in scenarios such as Double 11 Shopping Festival.

Amazon Timestream is a fast, scalable, and serverless time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th the cost of relational databases. Amazon Timestream saves you time and cost in managing the lifecycle of time series data by keeping recent data in memory and moving historical data to a cost optimized storage tier based upon user defined policies. Amazon Timestream’s purpose-built query engine lets you access and analyze recent and historical data together, without needing to specify explicitly in the query whether the data resides in the in-memory or cost-optimized tier. Amazon Timestream has built-in time series analytics functions, helping you identify trends and patterns in your data in near real-time.

Speed-up application development and simplify database administration with the only hybrid multi-cloud DBaaS for Microsoft SQL Server, Oracle, EDB, PostgreSQL, MySQL, MariaDB, and MongoDB. Make databases a seamless part of software development while reducing the administrative burden and delivering the performance, resilience, and security you need for dev, test, and production workloads. Easily provision, clone, and refresh databases directly from development environments. Automate admin tasks to ensure best practices consistency and free up DBA time for high-value tasks. Reliable performance, scalability, and security for all databases running on hybrid multi-cloud infrastructure. Enable platform and ops teams to treat databases as code with REST API and Kubernetes integrations. The NDB Operator for Kubernetes lets developers provision, clone, and restore databases with just a few lines of code, speeding time-to-market.

Field-level encryption with a secure key hierarchy so that no data breach can occur​. Covers all data protection and audit trail requirements (GDPR, HIPAA, CCPA, NIST, PCI DSS, PSD2, ISO 27001)​. Full visibility on all systems with blockchain-protected immutable audit trail that uses AI to detect fraud​. We take care of scalability, high-availability, backups, etc. You just send and retrieve the data. SentinelDB encrypts each record separately using field-level encryption with a secure key hierarchy so that no data breach can occur. By utilizing blockchain technology, we don’t allow anyone, even privileged users, to tamper with the audit trail, thus minimizing risk of internal fraud. In case of a fraud attempt you will be alerted in real-time. Building a compliant database and audit trail from scratch is expensive and can take months. SentinelDB can be integrated through an API with minimal changes to existing systems, infrastructure, processes and information flow.