Top 10 Alternatives to Microsoft Azure Cosmos DB Recently Reviewed By G2 Community
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Manage terabytes to petabytes of digital information with millions of read/write operations and msec P99 response. Our high availability architecture takes full advantage of modern infrastructure and networking capabilities. This translates to dramatically higher throughput and lower latency--eliminating barriers to scale.
A scalable, distributed database that supports structured data storage for large tables. Use HBase when you need random, realtime read/write access to Big Data.
YugabyteDB is turbocharged PostgreSQL for business-critical transactional applications. 100% open source, it offers built-in resilience, on-demand scaling, and more!
Cassandra's data model offers the convenience of column indexes with the performance of log-structured updates, strong support for denormalization and materialized views, and powerful built-in caching.
Google Cloud Bigtable is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers.
Amazon Keyspaces (for Apache Cassandra is a fully managed, serverless database service that enables users to run Cassandra workloads on AWS without the operational overhead of managing infrastructure. It offers seamless compatibility with existing Cassandra applications and tools, allowing for easy migration and scaling of workloads. With automatic scaling, high availability, and built-in security features, Amazon Keyspaces provides consistent, single-digit-millisecond response times at virtually any scale, making it ideal for applications requiring low-latency access to large volumes of data. Key Features and Functionality: - Apache Cassandra Compatibility: Supports the Cassandra Query Language (CQL API, enabling the use of existing Cassandra drivers and developer tools without modification. - Serverless Operation: Eliminates the need to provision, patch, or manage servers, allowing developers to focus on building applications. - Automatic Scaling: Dynamically adjusts tables' throughput capacity in response to application traffic, supporting both on-demand and provisioned capacity modes. - High Performance: Delivers consistent, single-digit-millisecond response times with virtually unlimited throughput and storage capacity. - High Availability and Durability: Replicates data across multiple AWS Availability Zones with a 99.99% availability SLA, ensuring data durability and fault tolerance. - Security: Encrypts data at rest by default and integrates with AWS Identity and Access Management (IAM for fine-grained access control. - Integration with AWS Services: Seamlessly integrates with other AWS services such as Amazon CloudWatch for monitoring and AWS Key Management Service (KMS for managing encryption keys. Primary Value and Problem Solved: Amazon Keyspaces addresses the challenges of managing and scaling Apache Cassandra databases by providing a fully managed, serverless solution. It eliminates the complexities associated with infrastructure management, such as provisioning, patching, and scaling, allowing developers to focus on application development. By offering automatic scaling, high availability, and robust security features, Amazon Keyspaces enables organizations to build and operate business-critical applications with ease, ensuring consistent performance and reliability at any scale.
Accumulo sorted, distributed key/value store is a robust, scalable, high performance data storage and retrieval system.
HPE EZMERAL DATA FABRIC FILE & OBJECT STORE Industry’s first edge to cloud data fabric that ingests and centralizes different types of data into a single logical infrastructure increasing data integrity and trust in data-driven insights.
Fully managed and automated monitoring and alerting for Apache Cassandra with 24/7 support.
Table Store is a distributed NoSQL data storage service built on Alibaba Cloud's ApsaraDB distributed computing system, which comes with 99.99% high availability and 99.999999999% data reliability. Table Store enables seamless expansion of data size and access concurrency through data sharding and server load balancer technologies, providing storage of and real-time access to massive structured data