Best Database as a Service (DBaaS) Providers of 2024

Symas LMDB, an extremely fast and memory-efficient database that we created for the OpenLDAP Project, is Symas LMDB. It uses memory-mapped files to provide the same read performance as an in-memory database but retains the persistence of standard disk databases. LMDB is small at 32KB in object code. It's still the right 32KB. LMDB is both compact and efficient. That's why LMDB is so powerful. Symas provides fixed-price commercial support for those who use LMDB in their applications. Development takes place in the OpenLDAP Project's Git repo in mdb.master branch. Symas LMDB has been featured in numerous publications and publications.

TencentDB for MySQL makes it simple to deploy and use MySQL, the most popular open-source relational database in the cloud. TencentDB for MySQL can be deployed quickly and cost-effectively without affecting your existing machines. You can also scale up or down your hardware capacity without having to shut down your machines. It includes a complete set of database OPS solutions that include backups, rollbacks and monitoring. This allows you to focus on your business development. With just a few clicks, you can launch and connect to a production-ready MySQL server in minutes. TencentDB for MySQL includes preset parameters and settings that are tailored to your server. You can also refine and customize your MySQL database settings using the database parameter group.

Oracle Exadata is the best location to run Oracle Database. It simplifies digital transformations, increases database performance, and reduces costs. According to Wikibon's analysis, Oracle Exadata provides customers with greater availability, higher performance, and upto 40% lower costs. Customers can modernize their database infrastructure, move enterprise apps to the cloud, and quickly implement digital transformations with Oracle Cloud Infrastructure, Oracle Cloud@Customer and on-premises deployment options. Customers can run Oracle Database with Oracle Exadata. Customers can easily move workloads between their on-premises data centers, Cloud@Customer deployments and Oracle Cloud Infrastructure. This allows them to modernize their operations and reduce costs.

A database clustering system that allows horizontal scaling of MySQL. Vitess combines the best of MySQL with the scalability and flexibility of a NoSQL data base. Its built-in Sharding features allow you to grow your database without having to add sharding logic. Vitess automatically rewrites any queries that could cause problems for your database's performance. It uses caching mechanisms to mediate query and prevent duplicate queries reaching your database simultaneously. Vitess handles functions such as master failovers or backups automatically. It uses a lock server for monitoring and administering servers. This allows your application to be completely unaware of the topology of the database. Vitess eliminates MySQL connections' high-memory overhead. Vitess servers can handle thousands of connections simultaneously. MySQL does not support sharding by default, but it will be required as your database grows.

Alibaba Cloud's Distributed Relational Database Service is a lightweight, flexible and stable middleware product. DRDS focuses primarily on expanding standalone relational database and has been tested using core transaction links in Tmall such as during Singles' Day Shopping Festival. DRDS is trusted and has been in use for ten years. Cluster-based data read/write and data storage. DRDS works on multiple servers and is not affected by the number or quality of connections. Supports upgrading and downgrading data configurations and the visualization of scale-up/scale-out of data storage. To improve linearly the reading performance, read and write splitting is available. Multiple data splitting methods are available depending on the data type, such as parallel data split. Supports parallel query execution and focuses on the primary shards.

Time Series Database (TSDB), supports high-speed data writing and reading. It has high compression ratios to ensure data storage costs are low. This service supports visualization of precision reduction and interpolation, multimetric aggregate computing, as well as query results. The TSDB service lowers storage costs and improves data writing, query, analysis efficiency. This allows you to manage large numbers of data points and collect more data. This service is widely used in a variety of industries, including IoT monitoring systems and enterprise energy management systems (EMSs), power supply monitoring systems, production security monitoring systems, and IoT monitoring. Optimizes database architectures. TSDB can read and write millions of data points in seconds. Uses an efficient compression algorithm that reduces the data point's size to 2 bytes. This saves more than 90% on storage costs.

Redis and Memcached are now more reliable, available, and scalable. Memorystore automates complex tasks such as patching, monitoring, failover, and high availability for open-source Redis and Memcached so you can spend more of your time programming. Start small and scale up your instance. Memorystore for Memcached supports clusters up to 5 TB, supporting millions of QPS with very low latency. Redis Memorystore instances are replicated across two zones, providing a 99.9% availability guarantee. Instances are monitored constantly and with automatic failover--applications experience minimal disruption. You can choose from two of the most popular open-source caching engines to build your application. Memorystore is protocol compatible and supports Redis and Memcached. Choose the engine that best suits your needs and budget.

ApsaraDB is an automated and scalable tool that developers can use to manage data storage shared between multiple applications, processes, or servers. ApsaraDB Redis is compatible with Redis protocol and offers exceptional read-write capabilities. It also ensures data persistence through the use of memory and hard disk storage. ApsaraDB Redis offers data read-write capabilities at high speeds by retrieving data in-memory caches. It also ensures data persistence using both memory storage and hard disk storage mode. ApsaraDB Redis supports advanced data structures like session, leaderboard, and tracking that are not possible with ordinary databases. ApsaraDB Redis also offers an enhanced version called "Tair". Since 2009, Tair has been officially handling data caching scenarios for Alibaba Group and has shown outstanding performance in scenarios like Double 11 Shopping Festival.

Amazon Timestream is a fast, scalable and serverless time series data service for IoT/operational applications. It makes it possible to store and analyze trillions per day up to 1000 times faster than traditional relational databases and at as low as 1/10th of the cost. Amazon Timestream helps you save time and money when managing the lifecycles of time series data. It stores recent data in memory and moves historical data to a cost-optimized storage tier according to user defined policies. Amazon Timestream's purpose-built query tool allows you to access and analyze both recent and historic data simultaneously, without having to specify in the query whether the data is in the in-memory tier or the cost-optimized. Amazon Timestream's built-in time series analytics functions allow you to identify trends and patterns within your data in real-time.

Tessell makes cloud databases deployment simple and elegant. Our fully-managed service will take care of all your data management and infrastructure needs. Turn high-performance computing into durable, zero data loss infrastructure. Give your database enterprise data protection with BCP, cross-region DR and multi-AZ HA. All-in-one consumer-grade data management based on policy for Prod, UAT and QA. Tessell hosts and manages the service. Create a fully managed database service in less than 10 minutes with a few easy steps. Bring your own data to the table or use the sample data and enjoy the apps. Tessell allows you to modernize your databases with just one click. You can get the best performance at a very low cost. Backup your production database regularly with transactional data, logs and backups. Create and store data for secondary environments, including table dumps, anonymized data and other types of data.

Easy deployment of a high-availability solution for disaster recovery, failover within and between cloud regions with zero downtime during maintenance. Multiple master databases distributed across multiple locations can improve performance and availability. Keep local data local, and control which tables will be globally replicated and which will remain local. Support higher throughput if workloads threaten to exceed the available compute capacity. pgEdge platform is available on-premises, or through self-managed cloud provider accounts. Supports a wide range of OS and hardware combinations. Enterprise-class support available. Edge Platform nodes that are self-hosted can be used as part of a Postgres cluster in pgEdge cloud.

Natively store data for graphs, documents and search needs. One query language allows for feature-rich access. You can map data directly to the database and access it using the best patterns for the job: traversals, joins search, ranking geospatial, aggregateions - you name them. Polyglot persistence without the cost. You can easily design, scale, and adapt your architectures to meet changing needs with less effort. Combine the flexibility and power of JSON with graph technology to extract next-generation features even from large datasets.

Amazon DocumentDB (with MongoDB compatibility), is a fast, scalable and highly available document database service that supports MongoDB workloads. Amazon DocumentDB is a document database that makes it easy to store, query and index JSON data. Amazon DocumentDB is a nonrelational database service that was designed from the ground up to provide the performance, scalability and availability you require when running mission-critical MongoDB workloads on a large scale. Amazon DocumentDB is decoupled from compute and storage, which allows each to scale independently. You can increase read capacity to millions of requests every second by adding up 15 low latency replicas in minutes, regardless how large your data is. Amazon DocumentDB is designed to guarantee 99.99% availability. It replicates six copies across three AWSAvailability Zones (AZs) of your data.

Field-level encryption with a secure hierarchy of keys to ensure that data breaches are prevented All data protection and audit trail requirements covered (GDPR, HIPAA. CCPA. NIST. PCI DSS. PSD2, ISO 27001). All systems with a blockchain-protected immutable audit track that uses AI to detect fraud have full visibility. We manage scalability, high availability, backups, and other issues. The data is sent and retrieved by you. SentinelDB secures each record with field-level encryption and a secure key hierarchy to prevent data breaches. We use blockchain technology to ensure that no one, not even privileged users can alter the audit trail. This minimizes internal fraud risk. You will be notified immediately if there is a fraud attempt. It can take several months to build a compliant audit trail and database. SentinelDB can easily be integrated using an API. This API requires minimal changes to existing systems, infrastructure, and information flow.

Stratoscale allows IT to act as an internal cloud service provider. IT can offer single-click / instant consumption of resources and managed open-source technologies and respond at the speed and speed of the public clouds. Stratoscale's multi-cloud hybrid platform delivers true infrastructure-as-a-service, ideal for DevOps and Infrastructure-as-Code automation. IT can now focus on business-specific innovation, governance, and compliance by allowing single-panel monitoring and scaling all resources and services. APIs are the best way open-source technologies can be consumed. Different cloud environments offer different APIs, which can add complexity and hinder DevOps professionals from reaching their full potential. Stratoscale delivers Infrastructure-as-a-Service (IaaS),Database-as- a-Service (DBaaS).

Webair provides Database-as-a-Service (DBaaS), a reliable and secure database management solution that gives your business simple, efficient and always available access to its mission-critical data. Our team has extensive experience in managing the configuration, administration, and optimization of database clusters. This includes business-critical, load-balanced, replicated, and distributed MySQL clusters. Webair's Database Administrators can help you create a high-performance environment for your database. We work closely with you to create the best solution. We match the best infrastructure to the most appropriate database configuration to meet your specific requirements. Your business can be freed from routine database tasks like performance monitoring, configuration, memory and storage, log file management, sizing and service pack upgrades, and patching. You can focus on the more important aspects of your business, such as managing critical data within your database.

The Leading Distributed SQL Database with High Performance. Open source, cloud native relational DB that powers global, internet-scale applications. Single-Digit Millisecond latency Create lightning fast cloud applications by serving queries directly to the DB. Massive Scale You can achieve millions of transactions per second and store multiple TTB's of data per Node. Geo-Distribution You can deploy across regions and clouds using synchronous or multimaster replication. Cloud Native Architectures. YugabyteDB makes it easy to develop, deploy, and operate modern applications faster than ever. Develop developer agility. Leverage full power of PostgreSQL-compatible SQL and distributed ACID transactions. Operate resilient services. Ensure continuous availability, even when the underlying storage, compute, or network fails. Scale On-Demand. You can add or remove nodes as you wish. Over-provisioned clusters are not a good idea. Lower User Latency.