Top 10 Google Cloud Parallelstore Alternatives & Competitors

Top 10 Alternatives to Google Cloud Parallelstore Recently Reviewed By G2 Community

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Amazon DynamoDB
By Amazon Web Services (AWS)
4.4/5
(529)
Product Description
Nonrelational database for applications that need performance at any scale
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Categories in common with Google Cloud Parallelstore:
Key Value Databases

ScyllaDB
By ScyllaDB
4.5/5
(426)
Product Description
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.
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Categories in common with Google Cloud Parallelstore:
Key Value Databases

Couchbase
By Couchbase
4.3/5
(150)
Product Description
Couchbase is engineered to meet the elastic scalability, consistent high performance, always-on availability, and data mobility requirements of mission critical applications.
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Categories in common with Google Cloud Parallelstore:
Key Value Databases

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Redis Software
By Redis
4.5/5
(134)
Product Description
Redis Software is designed for organizations that need fast, reliable in-memory database capabilities alongside the flexibility to manage their infrastructure. With sub-millisecond latency and millions of operations per second, Redis Software excels in delivering real-time performance. Built for high availability and disaster recovery, Redis Software ensures your data remains safe and accessible, providing the foundation for fast, scalable applications.
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Categories in common with Google Cloud Parallelstore:
Key Value Databases

Arango
By Arango
4.6/5
(115)
Product Description
Arango provides a trusted data foundation for Contextual AI — transforming enterprise data into a System of Context that truly represents the business, so LLMs can deliver better outcomes with unlimited scale and cost efficiency. The Arango AI Data Platform gives developers a single, integrated environment to build and scale AI-powered applications without the complexity of stitching together multiple databases and tools. At its core is a massively scalable multi-model database that unifies graph, vector, document, and key-value data with full-text, geospatial, and vector search — creating the System of Context, the bridge between enterprise data and LLMs. The Arango AI Suite includes automated data pipelines, multimodal data ingestion, AIOps and MLOps, LLM integrations, Graph Analytics, agentic frameworks for context-aware Hybrid/GraphRAG, GraphML, natural-language support, and GPU acceleration — enabling repeatable ROI and faster innovation. Trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, Siemens, Synopsys and Articul8, Arango powers enterprise AI with context, confidence, and scale. We are a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, YouTube, and G2.
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Categories in common with Google Cloud Parallelstore:
Key Value Databases

Amazon ElastiCache
By Amazon Web Services (AWS)
4.5/5
(87)
Product Description
Amazon ElastiCache offers fully managed Redis and Memcached. Seamlessly deploy, operate, and scale popular open source compatible in-memory data stores. Build data-intensive apps or improve the performance of your existing apps by retrieving data from high throughput and low latency in-memory data stores.
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Categories in common with Google Cloud Parallelstore:
Key Value Databases

Aerospike
By Aerospike
4.4/5
(83)
Product Description
Aerospike Database is a Key-Value Store and high performance real-time NoSQL (flex-schema) database.
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Categories in common with Google Cloud Parallelstore:
Key Value Databases

Azure Cosmos DB
By Microsoft
4.2/5
(68)
Product Description
Azure Cosmos DB is a fully managed, globally distributed NoSQL and vector database service designed to support mission-critical applications with ultra-low latency and elastic scalability. It enables developers to build AI-powered applications and agents by providing seamless integration with AI services, allowing for efficient storage and querying of both NoSQL data and vectors. With its schema-agnostic JSON document model, Azure Cosmos DB simplifies the development process by automatically indexing all data, eliminating the need for manual schema or index management. The service offers comprehensive Service Level Agreements (SLAs), ensuring less than 10-millisecond read and write latencies and 99.999% availability, making it a reliable choice for applications requiring high performance and global reach. Key Features and Functionality: - Global Distribution: Azure Cosmos DB allows for turnkey global distribution, enabling data to be replicated across multiple regions worldwide, providing high availability and low latency access to data. - Elastic Scalability: The service offers elastic scaling of throughput and storage, allowing developers to scale resources up or down based on demand without downtime. - Multi-Model Support: It natively supports multiple data models, including document, key-value, graph, and column-family, catering to diverse application needs. - AI Integration: Built-in vector search capabilities simplify the development of AI applications by efficiently storing and querying vectors alongside NoSQL data. - Automatic Indexing: All data is automatically indexed, facilitating fast and efficient queries without the need for manual index management. - Comprehensive SLAs: Azure Cosmos DB provides industry-leading SLAs covering throughput, latency, availability, and consistency, ensuring predictable performance. Primary Value and Solutions Provided: Azure Cosmos DB addresses the challenges of building and managing globally distributed applications by offering a fully managed database service that ensures high availability, low latency, and elastic scalability. Its integration with AI services and support for multiple data models empower developers to create intelligent, responsive applications without the complexity of managing infrastructure. By automatically handling data distribution, scaling, and indexing, Azure Cosmos DB allows organizations to focus on innovation and delivering value to their users, making it an ideal solution for applications requiring real-time data access and global reach.
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Categories in common with Google Cloud Parallelstore:
Key Value Databases

InterSystems IRIS
By InterSystems
4.6/5
(68)
Product Description
InterSystems IRIS is a Complete Data Platform that gives you everything you need to capture, share, understand, and act upon your organization's most valuable asset: your data.
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Categories in common with Google Cloud Parallelstore:
Key Value Databases