Best Database as a Service (DBaaS) Providers for Elastic Observability

Find and compare the best Database as a Service (DBaaS) providers for Elastic Observability in 2024

Use the comparison tool below to compare the top Database as a Service (DBaaS) providers for Elastic Observability on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Google Cloud BigQuery Reviews

    Google Cloud BigQuery

    Google

    $0.04 per slot hour
    1,686 Ratings
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    ANSI SQL allows you to analyze petabytes worth of data at lightning-fast speeds with no operational overhead. Analytics at scale with 26%-34% less three-year TCO than cloud-based data warehouse alternatives. You can unleash your insights with a trusted platform that is more secure and scales with you. Multi-cloud analytics solutions that allow you to gain insights from all types of data. You can query streaming data in real-time and get the most current information about all your business processes. Machine learning is built-in and allows you to predict business outcomes quickly without having to move data. With just a few clicks, you can securely access and share the analytical insights within your organization. Easy creation of stunning dashboards and reports using popular business intelligence tools right out of the box. BigQuery's strong security, governance, and reliability controls ensure high availability and a 99.9% uptime SLA. Encrypt your data by default and with customer-managed encryption keys
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    Google Cloud Platform Reviews
    Top Pick

    Google Cloud Platform

    Google

    Free ($300 in free credits)
    55,132 Ratings
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    Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.
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    Amazon DynamoDB Reviews
    Amazon DynamoDB, a key-value and document databank, delivers single-digit millisecond performance on any scale. It is a fully managed, multiregional, multimaster, durable database that offers built-in security, backup, restore, and in-memory cache for internet-scale apps. DynamoDB can process more than 10 trillion requests per hour and can handle peak requests of more than 20,000,000 requests per second. Many of the fastest-growing businesses in the world, such as Lyft, Redfin, and Airbnb, as well as enterprises like Samsung, Toyota and Capital One, rely on DynamoDB's scale and performance to support mission-critical workloads.
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    Google Cloud Firestore Reviews
    Cloud Firestore is a cloud-native, serverless, NoSQL document database. It simplifies the process of storing, querying, and syncing data for mobile, web, IoT, and web apps on a global scale. Its client libraries allow for offline support and live synchronization, while security features and integrations to Firebase and Google Cloud Platform (GCP), accelerate the creation of truly serverless apps.
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    Amazon RDS Reviews
    Amazon Relational Database Service (Amazon RDS), makes it easy to create, manage, and scale a cloud-based relational database. It offers a cost-efficient, resizable storage capacity and automates time-consuming admin tasks like database setup, patching, backups, and hardware provisioning. It allows you to concentrate on your applications, so they can provide the high performance, security, compatibility, and high availability that they require. Amazon RDS can be used on several database instance types, optimized for memory, performance, or I/O. It offers six familiar database engines to choose, including PostgreSQL and MySQL, MariaDB, Oracle Database and SQL Server. To easily replicate or migrate your existing databases to Amazon RDS, you can use the AWS Database Migration Service.
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    CockroachDB Reviews
    CockroachDB: Cloud-native distributed SQL. Your cloud applications deserve a cloud-native database. Cloud-based apps and services need a database that can scale across clouds, reduces operational complexity, and improves reliability. CockroachDB provides resilient, distributed SQL with ACID transactions. Data partitioned by geography is also available. Combining CockroachDB and orchestration tools such as Mesosphere DC/OS and Kubernetes to automate mission-critical applications can speed up operations.
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    Couchbase Reviews
    Couchbase, unlike other NoSQL database, provides a multicloud to edge enterprise-class database that offers robust capabilities for business-critical apps on a highly available and scalable platform. Couchbase is a distributed cloud native database that runs on any cloud. It can be managed by the customer or fully managed. Couchbase is built using open standards and combines the best of NoSQL and SQL with the power and familiarity that mainframes and relational databases provide. Couchbase Server is an open-source, multipurpose distributed database. It combines the best of relational databases, such as SQL, ACID transactions, and JSON, with a foundation which is fast and scalable. It is used in many industries for things such as user profiles, dynamic catalogs, GenAI applications, vector search, caching at high speed, and more.
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