# Best Key Value Databases

  *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)*

   Key value databases save data as associative arrays where a single value is associated together with a key used as a signifier for the value. No two keys necessarily need the same structure, so data is simply accumulated into a single, large table. Database administrators can quickly pull the data by identifying a specific key. A query language is not necessary when retrieving data, which provides convenience for users who are lacking query language knowledge. Key value databases can also be used for web caches. Key value databases are a type of NoSQL database and are the least structured of the schemaless data stores. Other types of NoSQL tools include [document database](https://www.g2.com/categories/document-databases) tools, [graph database](https://www.g2.com/categories/graph-databases) tools, [object-orientated database](https://www.g2.com/categories/object-oriented-databases) tools and more. Those who need a solution at no cost can look at [free database software](https://learn.g2.com/free-database-software).

To qualify for inclusion in the Key-Value Store category, a product must:

- Provide data storage
- Store data as a singular value associated with a key
- Allow users to retrieve the data





## Category Overview

**Total Products under this Category:** 67


## Trust & Credibility Stats

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 2,300+ Authentic Reviews
- 67+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.


## Best Key Value Databases At A Glance

- **Leader:** [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews)
- **Highest Performer:** [Arango](https://www.g2.com/products/arango/reviews)
- **Easiest to Use:** [Amazon ElastiCache](https://www.g2.com/products/amazon-elasticache/reviews)
- **Top Trending:** [InterSystems IRIS](https://www.g2.com/products/intersystems-iris/reviews)
- **Best Free Software:** [ScyllaDB](https://www.g2.com/products/scylladb/reviews)


---

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---

## Top-Rated Products (Ranked by G2 Score)
### 1. [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews)
  Amazon DynamoDB is a pioneering NoSQL, fully managed, serverless database with limitless scalability and single-digit millisecond latency performance enabling customers to develop modern, microservice-based applications through a simple API. Customers enjoy the benefits of DynamoDB’s fully-managed service including broad compliance standards, security integration with AWS Identity and Access Management and numerous disaster recovery services. With DynamoDB Global Tables, customers have a 99.999% highly available, multi-Region, multi-active database supporting local reads and writes for globally distributed users. DynamoDB provides cost management features such as scale-to-zero, Time to Live (TTL) for aging data out, and multiple pricing models including a free tier.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 497

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.7/10)
- **Auto Recovery:** 8.9/10 (Category avg: 8.6/10)
- **Data Model:** 8.4/10 (Category avg: 8.8/10)
- **Integrated Cache:** 8.5/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud (2,225,864 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 35% Enterprise, 34% Mid-Market


#### Pros & Cons

**Pros:**

- Scalability (11 reviews)
- Ease of Use (8 reviews)
- Cost Efficiency (5 reviews)
- Low Latency (5 reviews)
- Managed Services (5 reviews)

**Cons:**

- Expensive (9 reviews)
- Query Complexity (7 reviews)
- Complexity (5 reviews)
- Learning Curve (5 reviews)
- Cost Issues (3 reviews)

### 2. [ScyllaDB](https://www.g2.com/products/scylladb/reviews)
  ScyllaDB is a specialty database for workloads that require predictable performance at scale. It’s adopted by organizations that require ultra-low latency, even at millions of features or operations per second, billions of embeddings, or petabytes of storage. ScyllaDB’s shard-per-core architecture taps the full power of modern infrastructure, translating to fewer nodes, less admin, and lower costs. Over 400 companies such as Disney+, Discord, Tripadvisor, Expedia, Zillow, Starbucks, and Comcast use ScyllaDB for their toughest database challenges.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 422

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.7/10)
- **Auto Recovery:** 8.6/10 (Category avg: 8.6/10)
- **Data Model:** 8.7/10 (Category avg: 8.8/10)
- **Integrated Cache:** 8.8/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [ScyllaDB](https://www.g2.com/sellers/scylladb)
- **Company Website:** https://www.scylladb.com/
- **Year Founded:** 2013
- **HQ Location:** Palo Alto, US
- **Twitter:** @ScyllaDB (29,605 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/10201068 (222 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 41% Small-Business, 29% Mid-Market


#### Pros & Cons

**Pros:**

- Performance (57 reviews)
- Speed (49 reviews)
- Scalability (46 reviews)
- Low Latency (39 reviews)
- Ease of Use (14 reviews)

**Cons:**

- Learning Curve (21 reviews)
- Limited Features (13 reviews)
- Difficult Learning (9 reviews)
- Difficult Setup (9 reviews)
- Complexity (8 reviews)

### 3. [Amazon ElastiCache](https://www.g2.com/products/amazon-elasticache/reviews)
  Amazon ElastiCache is a fully managed service that makes it easy to deploy, operate, and scale an in-memory data store and cache in the cloud. Often working in conjunction with other AWS database and storage services, ElastiCache ensures modern applications meet real-time requirements for high data throughput and sub-milli second response times, while serving millions of simultaneous requests. Amazon ElastiCache supports two open-source in-memory engines: o Redis - a fast, open source, in-memory data store and cache. Amazon ElastiCache for Redis is a Redis-compatible in-memory service that delivers the ease-of-use and power of Redis along with the availability, reliability and performance suitable for the most demanding applications. ElastiCache for Redis is fully managed, scalable, and secure - making it an ideal candidate to power high-performance use cases such as Web, Mobile Apps, Gaming, Ad-Tech, and IoT. o Memcached - a widely adopted memory object caching system. Amazon ElastiCache for Memcached is protocol compliant with Memcached, so popular tools that you use today with existing Memcached environments will work seamlessly with the service. ElastiCache for Memcached is suitable for caching use cases where performance and concurrency is important.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 83

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.7/10)
- **Auto Recovery:** 8.2/10 (Category avg: 8.6/10)
- **Data Model:** 8.7/10 (Category avg: 8.8/10)
- **Integrated Cache:** 9.2/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud (2,225,864 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Who Uses This:** DevOps Engineer, Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 36% Small-Business, 33% Mid-Market


#### Pros & Cons

**Pros:**

- Cost Efficiency (1 reviews)
- Customer Support (1 reviews)
- Low Latency (1 reviews)
- Performance (1 reviews)
- Performance Efficiency (1 reviews)

**Cons:**

- Cost Issues (1 reviews)
- Downtime Issues (1 reviews)
- Expensive (1 reviews)
- Poor Customer Support (1 reviews)
- Scaling Issues (1 reviews)

### 4. [Azure Table Storage](https://www.g2.com/products/azure-table-storage/reviews)
  Azure Table storage stores large amounts of structured data. The service is a NoSQL datastore which accepts authenticated calls from inside and outside the Azure cloud.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 16

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.7/10)
- **Auto Recovery:** 9.4/10 (Category avg: 8.6/10)
- **Data Model:** 9.2/10 (Category avg: 8.8/10)
- **Integrated Cache:** 8.8/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft (13,114,353 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (227,697 employees on LinkedIn®)
- **Ownership:** MSFT

**Reviewer Demographics:**
  - **Company Size:** 56% Small-Business, 31% Enterprise


#### Pros & Cons

**Pros:**

- Data Storage (3 reviews)
- Cost Efficiency (2 reviews)
- Efficiency (1 reviews)
- Features (1 reviews)
- Integrations (1 reviews)

**Cons:**

- Scalability Issues (1 reviews)
- SQL Limitations (1 reviews)

### 5. [Redis Cloud](https://www.g2.com/products/redis-cloud/reviews)
  Redis Cloud is our fully-managed Redis Enterprise service, delivering unmatched speed, simplicity, and scalability. It's perfect for cloud-native applications requiring real-time data processing, without the hassle of managing infrastructure. Redis Cloud surpasses Redis-compatible cloud services built on open source such as Amazon ElastiCache and Google Cloud Memorystore by offering enterprise-grade features like active-active geo-distribution, advanced query and search capabilities, seamless data synchronization, and multi-cloud support.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 42

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.7/10)
- **Auto Recovery:** 8.3/10 (Category avg: 8.6/10)
- **Data Model:** 8.9/10 (Category avg: 8.8/10)
- **Integrated Cache:** 10.0/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Redis](https://www.g2.com/sellers/redis)
- **Year Founded:** 2011
- **HQ Location:** San Francisco, CA
- **Twitter:** @Redisinc (43,961 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2014725/ (1,510 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 50% Small-Business, 41% Mid-Market


### 6. [Redis Software](https://www.g2.com/products/redis-software/reviews)
  Redis Software is our advanced solution delivering unmatched speed and reliability for on-prem and private cloud environments. It gives you full control over your deployment, ensuring high performance and scalability to meet your specific needs. Redis Software builds on the speed and reliability of Redis Community Edition with advanced features like active-active geo-distribution, advanced query and search capabilities, automated data synchronization, and superior security features. These enhancements provide enterprise-grade performance, reliability, and security, making Redis Software the ideal choice for production-grade applications.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 130

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.7/10)
- **Auto Recovery:** 8.1/10 (Category avg: 8.6/10)
- **Data Model:** 8.6/10 (Category avg: 8.8/10)
- **Integrated Cache:** 8.8/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Redis](https://www.g2.com/sellers/redis)
- **Year Founded:** 2011
- **HQ Location:** San Francisco, CA
- **Twitter:** @Redisinc (43,961 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2014725/ (1,510 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 54% Small-Business, 26% Mid-Market


#### Pros & Cons

**Pros:**

- Useful (2 reviews)
- Cost Efficiency (1 reviews)
- Customization (1 reviews)
- Data Storage (1 reviews)
- Ease of Setup (1 reviews)

**Cons:**

- Data Size Limitations (1 reviews)
- Expensive (1 reviews)
- Limited Chart Features (1 reviews)
- Poor UI (1 reviews)
- Slow Performance (1 reviews)

### 7. [OceanBase Database](https://www.g2.com/products/oceanbase-database/reviews)
  OceanBase Database is a native, enterprise-level distributed database developed independently by the OceanBase team. It provides financial-grade high availability on commodity hardware and introduces a new city-level disaster recovery standard known as "Five IDCs across Three Regions". As the world's first distributed database to pass the TPC-C benchmark test, it can support over 1,500 nodes in a single cluster. Additionally, it features cloud-native architecture, strong consistency, and high compatibility with other popular databases such as Oracle and MySQL.


  **Average Rating:** 5.0/5.0
  **Total Reviews:** 10

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.7/10)
- **Auto Recovery:** 10.0/10 (Category avg: 8.6/10)
- **Data Model:** 10.0/10 (Category avg: 8.8/10)
- **Integrated Cache:** 10.0/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [OceanBase](https://www.g2.com/sellers/oceanbase)
- **Year Founded:** 2010
- **HQ Location:** Beijing, CN
- **LinkedIn® Page:** https://www.linkedin.com/company/oceanbase/about/ (155 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 60% Mid-Market, 20% Enterprise


### 8. [Google Cloud Memorystore](https://www.g2.com/products/google-cloud-memorystore/reviews)
  Cloud Memorystore for Redis provides a fully managed in-memory data store service built on scalable, secure, and highly available infrastructure managed by Google. Use Cloud Memorystore to build application caches that provides sub-millisecond data access. Cloud Memorystore is compatible with the Redis protocol, allowing easy migration with zero code changes.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 45

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.7/10)
- **Auto Recovery:** 8.3/10 (Category avg: 8.6/10)
- **Data Model:** 8.0/10 (Category avg: 8.8/10)
- **Integrated Cache:** 8.7/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google (31,910,461 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (336,169 employees on LinkedIn®)
- **Ownership:** NASDAQ:GOOG

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 38% Small-Business, 35% Mid-Market


### 9. [InterSystems IRIS](https://www.g2.com/products/intersystems-iris/reviews)
  InterSystems IRIS is a complete cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an open analytics platform. It is the next generation of our proven data management software.It includes the capabilities of InterSystems Cache and Ensemble, plus a wealth of exciting new capabilities to make it easy to build and deploy cloud based, analytics-intensive enterprise applications with even greater performance and scalability. InterSystems IRIS provides a set of APIs to operate with transactional persistent data simultaneously: key-value, relational, object, document, multidimensional. Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language. InterSystems IRIS includes an Interoperability engine and modules to build AI solutions. InterSystems IRIS provides features for horizontal scalability (sharding, ECP) and provides High Availability features, Business intelligence, transaction support, and backup.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 59

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.7/10)
- **Auto Recovery:** 9.2/10 (Category avg: 8.6/10)
- **Data Model:** 9.3/10 (Category avg: 8.8/10)
- **Integrated Cache:** 9.3/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [InterSystems](https://www.g2.com/sellers/intersystems)
- **Year Founded:** 1978
- **HQ Location:** Cambridge, MA
- **Twitter:** @InterSystems (61,503 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/6959 (2,080 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Hospital & Health Care
  - **Company Size:** 50% Small-Business, 28% Mid-Market


#### Pros & Cons

**Pros:**

- Features (9 reviews)
- Ease of Use (8 reviews)
- Performance (8 reviews)
- Customer Support (6 reviews)
- Easy Integrations (6 reviews)

**Cons:**

- Difficult Learning (6 reviews)
- Expensive (5 reviews)
- Insufficient Documentation (5 reviews)
- Learning Curve (5 reviews)
- Poor Documentation (5 reviews)

### 10. [Azure Redis Cache](https://www.g2.com/products/azure-redis-cache/reviews)
  Azure Redis Cache is a secure data cache and messaging broker that provides high throughput and low-latency access to data for applications.


  **Average Rating:** 3.7/5.0
  **Total Reviews:** 19

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 7.4/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft (13,114,353 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (227,697 employees on LinkedIn®)
- **Ownership:** MSFT

**Reviewer Demographics:**
  - **Top Industries:** Computer Software
  - **Company Size:** 36% Enterprise, 36% Mid-Market


### 11. [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews)
  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.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 59

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.7/10)
- **Auto Recovery:** 7.5/10 (Category avg: 8.6/10)
- **Data Model:** 6.7/10 (Category avg: 8.8/10)
- **Integrated Cache:** 6.7/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft (13,114,353 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (227,697 employees on LinkedIn®)
- **Ownership:** MSFT

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 44% Enterprise, 28% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (4 reviews)
- Features (3 reviews)
- Integrations (3 reviews)
- Scalability (3 reviews)
- Customization (2 reviews)

**Cons:**

- Expensive (3 reviews)
- Cost Issues (2 reviews)
- Complexity Issues (1 reviews)
- Complex Usage (1 reviews)
- Cost Increase (1 reviews)

### 12. [BoltDB](https://www.g2.com/products/boltdb/reviews)
  BoltDB is an embedded key/value database for Go.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 18

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [BoltDB](https://www.g2.com/sellers/boltdb)
- **HQ Location:** N/A
- **Twitter:** @boltdb (320 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services
  - **Company Size:** 72% Small-Business, 17% Enterprise


### 13. [Couchbase](https://www.g2.com/products/couchbase/reviews)
  Couchbase’s operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data services.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 142

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.7/10)
- **Auto Recovery:** 8.0/10 (Category avg: 8.6/10)
- **Data Model:** 8.4/10 (Category avg: 8.8/10)
- **Integrated Cache:** 8.0/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Couchbase](https://www.g2.com/sellers/couchbase)
- **Company Website:** https://www.couchbase.com/
- **Year Founded:** 2009
- **HQ Location:** San Jose, CA
- **Twitter:** @couchbase (136,367 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1866670/ (859 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Senior Software Engineer, Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 39% Small-Business, 34% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (5 reviews)
- Ease of Setup (3 reviews)
- Scalability (2 reviews)
- Search Efficiency (2 reviews)
- Speed (2 reviews)

**Cons:**

- Complexity (2 reviews)
- Difficult Learning (2 reviews)
- Complex Configuration (1 reviews)
- Data Management (1 reviews)
- High Memory Usage (1 reviews)

### 14. [Arango](https://www.g2.com/products/arango/reviews)
  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.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 115

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.7/10)
- **Auto Recovery:** 9.0/10 (Category avg: 8.6/10)
- **Data Model:** 9.1/10 (Category avg: 8.8/10)
- **Integrated Cache:** 8.0/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Arango](https://www.g2.com/sellers/arango)
- **Company Website:** https://arango.ai/
- **Year Founded:** 2015
- **HQ Location:** San Francisco, CA
- **LinkedIn® Page:** https://www.linkedin.com/company/5289249/ (106 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Senior Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 57% Small-Business, 23% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (14 reviews)
- Features (10 reviews)
- Querying (7 reviews)
- Intuitive (6 reviews)
- Customization (5 reviews)

**Cons:**

- Poor Usability (5 reviews)
- Difficult Learning (4 reviews)
- Improvement Needed (4 reviews)
- Learning Curve (4 reviews)
- Learning Difficulty (4 reviews)

### 15. [Aerospike](https://www.g2.com/products/aerospike/reviews)
  The Aerospike Real-time Data Platform enables organizations to act instantly across billions of transactions while reducing server footprint by up to 80 percent. The Aerospike multi-cloud platform powers real-time applications with predictable sub-millisecond performance up to petabyte-scale with five-nines uptime with globally distributed, strongly consistent data. Applications built on the Aerospike Real-time Data Platform fight fraud, provide recommendations that dramatically increase shopping cart size, enable global digital payments, and deliver hyper-personalized user experiences to tens of millions of customers. Customers such as Airtel, Experian, Nielsen, PayPal, Snap, Wayfair, and Yahoo rely on Aerospike as their data foundation for the future.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 80

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.7/10)
- **Auto Recovery:** 9.0/10 (Category avg: 8.6/10)
- **Data Model:** 9.1/10 (Category avg: 8.8/10)
- **Integrated Cache:** 9.0/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Aerospike](https://www.g2.com/sellers/aerospike)
- **Year Founded:** 2009
- **HQ Location:** Mountain View, CA
- **Twitter:** @aerospikedb (7,836 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2696852/ (306 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer
  - **Top Industries:** Marketing and Advertising, Information Technology and Services
  - **Company Size:** 45% Mid-Market, 34% Enterprise


### 16. [Coherence](https://www.g2.com/products/coherence/reviews)
  Oracle Coherence is a in-memory data grid solution that enables organizations to predictably scale mission-critical applications by providing fast access to frequently used data.


  **Average Rating:** 4.1/5.0
  **Total Reviews:** 12

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Oracle](https://www.g2.com/sellers/oracle)
- **Year Founded:** 1977
- **HQ Location:** Austin, TX
- **Twitter:** @Oracle (827,868 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1028/ (199,301 employees on LinkedIn®)
- **Ownership:** NYSE:ORCL

**Reviewer Demographics:**
  - **Company Size:** 67% Enterprise, 17% Mid-Market


### 17. [Oracle NoSQL Database Cloud](https://www.g2.com/products/oracle-nosql-database-cloud/reviews)
  A NoSQL database service with on-demand throughput and storage based provisioning that supports JSON, Table and Key-Value datatypes, all with flexible transaction guarantees.


  **Average Rating:** 4.1/5.0
  **Total Reviews:** 13

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 7.8/10 (Category avg: 8.7/10)
- **Data Model:** 10.0/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Oracle](https://www.g2.com/sellers/oracle)
- **Year Founded:** 1977
- **HQ Location:** Austin, TX
- **Twitter:** @Oracle (827,868 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1028/ (199,301 employees on LinkedIn®)
- **Ownership:** NYSE:ORCL

**Reviewer Demographics:**
  - **Company Size:** 54% Enterprise, 38% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (1 reviews)
- Simple (1 reviews)

**Cons:**

- Expensive (1 reviews)

### 18. [Memcached](https://www.g2.com/products/memcached/reviews)
  Memcached is a high-performance, distributed memory object caching system


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 17

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 7.5/10 (Category avg: 8.7/10)
- **Data Model:** 9.4/10 (Category avg: 8.8/10)
- **Integrated Cache:** 8.3/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Memcached](https://www.g2.com/sellers/memcached)
- **HQ Location:** N/A
- **Twitter:** @memcached (879 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Internet
  - **Company Size:** 67% Small-Business, 28% Mid-Market


### 19. [Heroku Redis](https://www.g2.com/products/heroku-redis/reviews)
  Heroku Redis is a fully managed, in-memory key-value data store service that enhances application performance by providing sub-millisecond response times and the ability to handle millions of operations per second. Designed for developers, it offers seamless integration with Heroku's platform, allowing for efficient caching, session management, and real-time analytics without the complexities of manual database management. Key Features and Functionality: - Visual Performance Analytics: Gain instant insights into runtime metrics such as command call frequency, active connections, key usage, and memory consumption through unified time-axis visualizations. - Real-Time Logging: Access detailed, real-time logs of Redis instances integrated into your application's log stream, facilitating effective monitoring and troubleshooting. - Powerful CLI Management: Utilize the Heroku Command Line Interface (CLI) to provision, connect, and configure Redis instances efficiently. - High Availability: Premium plans offer reduced failover latency and enhanced uptime, ensuring your applications remain operational and reliable. - Secure Private Connectivity: Seamlessly and securely connect Heroku Redis databases within a Private Space to resources in Amazon VPCs using PrivateLink, enhancing network isolation and data security. - Bring Your Own Key (BYOK): Deploy new Redis services using encryption keys created and managed in your private AWS KMS account, granting full control over your sensitive data. - HIPAA Compliance: With Heroku Shield for Redis, handle Protected Health Information (PHI) and Personally Identifiable Information (PII) securely in-memory, enabling the development of real-time applications compliant with HIPAA regulations. Primary Value and Problem Solved: Heroku Redis simplifies the deployment and management of Redis instances, allowing developers to focus on building and scaling applications without the operational overhead of database maintenance. By offering a fully managed service with advanced features like performance analytics, real-time logging, and high availability, it addresses the challenges of maintaining high-performance, scalable, and secure data storage solutions. This empowers developers to deliver responsive and reliable applications efficiently.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 11

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.7/10)
- **Auto Recovery:** 9.6/10 (Category avg: 8.6/10)
- **Data Model:** 9.4/10 (Category avg: 8.8/10)
- **Integrated Cache:** 10.0/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Heroku](https://www.g2.com/sellers/heroku)
- **Year Founded:** 2007
- **HQ Location:** San Francisco, US
- **Twitter:** @heroku (102,343 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/heroku (160 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 82% Small-Business, 18% Mid-Market


### 20. [Cassandra](https://www.g2.com/products/cassandra/reviews)
  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.


  **Average Rating:** 4.1/5.0
  **Total Reviews:** 33

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 7.4/10 (Category avg: 8.7/10)
- **Auto Recovery:** 6.7/10 (Category avg: 8.6/10)
- **Data Model:** 6.7/10 (Category avg: 8.8/10)
- **Integrated Cache:** 6.7/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)
- **Year Founded:** 1999
- **HQ Location:** Wakefield, MA
- **Twitter:** @TheASF (66,154 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/215982/ (2,408 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Internet
  - **Company Size:** 49% Enterprise, 34% Mid-Market


### 21. [GridDB](https://www.g2.com/products/griddb/reviews)
  GridDB is a database that offers both speed and scaling for mission critical big-data applications.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 27

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.7/10)
- **Auto Recovery:** 8.6/10 (Category avg: 8.6/10)
- **Data Model:** 8.1/10 (Category avg: 8.8/10)
- **Integrated Cache:** 8.9/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Toshiba](https://www.g2.com/sellers/toshiba)
- **Year Founded:** 2016
- **HQ Location:** N/A
- **Twitter:** @griddb (9 Twitter followers)
- **LinkedIn® Page:** http://www.linkedin.com/company/griddb (1 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software
  - **Company Size:** 74% Mid-Market, 15% Enterprise


### 22. [Bangdb](https://www.g2.com/products/bangdb/reviews)
  BangDB is a multiflavored, multimodel, embedded, distributed, high performance, analytical, timeseries NoSql database written in C/C++ and design from scratch for solving contemporary and future problems in simple and easy manner which otherwise requires huge amount of time and resources.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 12

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.7/10)
- **Auto Recovery:** 8.6/10 (Category avg: 8.6/10)
- **Data Model:** 8.1/10 (Category avg: 8.8/10)
- **Integrated Cache:** 8.3/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [BangDB](https://www.g2.com/sellers/bangdb)
- **Year Founded:** 2015
- **HQ Location:** Bangalore, Karnataka
- **Twitter:** @IQLECT (453 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/bangdb/ (6 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Small-Business, 33% Mid-Market


### 23. [Accumulo](https://www.g2.com/products/accumulo/reviews)
  Accumulo sorted, distributed key/value store is a robust, scalable, high performance data storage and retrieval system.


  **Average Rating:** 4.0/5.0
  **Total Reviews:** 12

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 8.7/10)
- **Auto Recovery:** 8.3/10 (Category avg: 8.6/10)
- **Data Model:** 8.3/10 (Category avg: 8.8/10)
- **Integrated Cache:** 6.7/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)
- **Year Founded:** 1999
- **HQ Location:** Wakefield, MA
- **Twitter:** @TheASF (66,154 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/215982/ (2,408 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 42% Small-Business, 33% Enterprise


### 24. [RocksDB](https://www.g2.com/products/rocksdb/reviews)
  A persistent key-value store for fast storage environments


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 9

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 8.7/10)
- **Auto Recovery:** 9.0/10 (Category avg: 8.6/10)
- **Data Model:** 8.3/10 (Category avg: 8.8/10)
- **Integrated Cache:** 8.6/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Meta Platforms, Inc](https://www.g2.com/sellers/meta-platforms-inc)
- **Year Founded:** 2008
- **HQ Location:** Menlo Park, CA
- **Twitter:** @Meta (9,930,056 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/meta/ (150,070 employees on LinkedIn®)
- **Ownership:** NASDAQ: META

**Reviewer Demographics:**
  - **Company Size:** 60% Small-Business, 40% Mid-Market


### 25. [InterSystems Caché](https://www.g2.com/products/intersystems-cache/reviews)
  InterSystems Caché® is a high-performance database that powers transaction processing applications around the world. It is used for everything from mapping a billion stars in the Milky Way, to processing a billion equity trades in a day, to managing smart energy grids. Caché is a multi-model (object, relational, key-value) DBMS and application server developed by InterSystems. InterSystems Caché provides several APIs to operate with same data simultaneously: key-value, relational, object, document, multidimensional. Data can be managed via SQL, Java, node.js, .NET, C++, Python. DBMS Caché has proven embedded technologies for horizontal scaling (ECP, SLM), High Availability (Mirroring), transaction support and backup. It includes embedded Caché ObjectScript language which is back compatible to mumps and which helps to run applications' business logic close to the data and achieve maximum performance for complex logic operations with data. Caché also provides application server which hosts web apps (CSP), REST, SOAP, web sockets and other types of TCP access for Caché data.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 26

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.7/10)
- **Auto Recovery:** 8.3/10 (Category avg: 8.6/10)
- **Data Model:** 8.3/10 (Category avg: 8.8/10)
- **Integrated Cache:** 8.3/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [InterSystems](https://www.g2.com/sellers/intersystems)
- **Year Founded:** 1978
- **HQ Location:** Cambridge, MA
- **Twitter:** @InterSystems (61,503 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/6959 (2,080 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Hospital & Health Care, Computer Software
  - **Company Size:** 61% Small-Business, 24% Mid-Market




## Parent Category

[NoSQL Databases](https://www.g2.com/categories/nosql-databases)



## Related Categories

- [Graph Databases](https://www.g2.com/categories/graph-databases)
- [Document Databases](https://www.g2.com/categories/document-databases)
- [Database as a Service (DBaaS) Providers](https://www.g2.com/categories/database-as-a-service-dbaas)



---

## Buyer Guide

### What You Should Know About Key Value Databases

### What are Key Value Databases?

Key value databases are arguably the simplest of NoSQL databases. Unlike relational databases, which rely on primary and foreign keys to be able to find and connect data, key value databases utilize a single main identifier—the _key_—and associate that with a data point, array of data, or blob—a _value_. Key value databases can only be queried by the key itself. Key names can be _uniform resource identifiers_ or _URI_, hashes, filenames, or anything else that is entirely unique from other keys. In the same way, values can be just about any data.

Key Benefits of Key Value Databases

- Simple and lightweight
- Built for speed
- Data type-agnostic

### Why Use Key Value Databases?

Key value databases are designed for speed. Because they require minimal input for querying compared to other databases, and because they store so simply, key value databases can return query results near instantly.

Key value databases are optimal for situations with constant read/write operations or situations requiring low latency and lower operational demand than a relational database. Some example use cases follow.

**E-commerce shopping carts —** Key value databases work fantastically for temporary, lightweight listings, which makes them perfect for storing customer shopping carts while they order products online.

**Online session information —** Need to be able to keep a log of user session data over the course of being logged onto a device, utilizing your website, etc.? Key value databases make it simple to track and store activity information, including which pages were accessed, on-page actions a user took, and more. This information can fuel customer product recommendations, inform trends, and create more data-driven insights for businesses.

**Cache —** Key value databases are a great option for storing information that gets accessed often but rarely, if ever, gets modified. So, key value databases can serve as effective cache in these situations.

### Who Uses Key Value Databases?

Like most other databases, database administrators and teams are the ones who will most often interact with key-value store solutions. That being said, developers and support teams will also use these solutions frequently – developers, for integrating databases with their code, and support teams, for root cause investigation, troubleshooting, etc. Key value databases in particular might not have as wide a usage range outside these groups because of, oddly enough, their simplicity. They’re not as applicable as some kinds of databases—like relational or graph—in more general business settings that lean into more tabular or relationship-oriented data grouping, or that might need often and significant editing.

### Key Value Databases Features

**In-memory residence —** Most value databases are built in such a way that they can be run in-memory as opposed to off a storage drive. This improves transaction speeds and also is a testament to the lightweight nature of these databases.

**Speed —** Whether a user is writing to the database or querying from it, key-value databases offer greater speed and responsiveness compared to other kinds of databases.

**Scalability —** No matter how much data may need to go into the database, value databases will be able to keep up.

**Integration —** Key value databases should be able to integrate easily with other systems and tools. Should there be specific integrations you’d need your key-value store to have, check with both the key-value store vendor and community, as well as those of any solutions with which you might be integrating.

Other Features of Key Value Databases: [Audit logs](https://www.g2.com/categories/key-value-databases/f/audit-logs), [Authentication](https://www.g2.com/categories/key-value-databases/f/authentication), [Integrated cache](https://www.g2.com/categories/key-value-databases/f/integrated-cache), [Multi-model](https://www.g2.com/categories/key-value-databases/f/multi-model), [Role-based authorization](https://www.g2.com/categories/key-value-databases/f/role-based-authorization)

### Trends Related to Key Value Databases

**Moving away from SQL —** Businesses are actively exploring NoSQL (non-relational) databases more now than ever before. NoSQL databases as a whole provide greater flexibility than SQL databases because of less rigid schema, and thus, more adaptability and opportunities for specialization.

### Potential Issues with Key Value Databases

**Value returns —** Most value databases, when queried, return the entire value associated with a key. While generally this is beneficial, if you’ve stored multiple pieces of information within a single value, querying for its key may return more information than you wanted. If planning to use a key-value database to store multiple items of information within a value, be sure that the database you choose has the ability to sift information out of an array value, or you have an alternate way to compensate for an array of information being returned.

**Value updates —** Key value databases, by nature of their design, require that the **entire** value be updated when a value is modified. If you anticipate your values consistently having multiple pieces of information within them, consider a key-value database that will let you have more fine-tuned control over modification, or perhaps consider a different type of database altogether. If you anticipate constant modifications and numerous pieces of information being associated to a single identifying data point (key), perhaps consider a relational, graph, or document database instead.

### Software and Services Related to Key Value Databases

[**Graph databases**](https://www.g2.com/categories/graph-databases) **—** Another type of NoSQL database, graph databases specialize in showing the relationships (_edges_) between different data (_nodes_). Graph and key-value databases can have some overlap in use cases, in which case businesses should investigate further on the two types of databases to discern which more properly fits their constraints.

[**Document databases**](https://www.g2.com/categories/document-databases) **—** Document databases, another NoSQL database type, store and retrieve data in document format, e.g. JSON, XML, and YAML. This database specializes in storing related groups of data together in a single document for retrieval and querying.

[**Relational databases**](https://www.g2.com/categories/relational-databases) **—** The most familiar of any database, relational databases take on strict structures and schema to manage and store data. Key value databases and relational databases can work well together for businesses, with each covering situations where the other might not be as well-suited.