Best Wide Column Database Software

How Many Wide Column Database Software Products Does G2 Track?

Total Products under this Category: 32

Category Stats (Nov 2026)

  • Average Rating: 4.15/5 (↓0.02 vs Oct 2026) The average rating of products in this category, based on all submitted ratings

Last updated: November 13, 2026

How Does G2 Rank Wide Column Database Software Products?

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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.

G2 Grid® for Wide Column Database Software

G2 Grid® for Wide Column Database Software plotting products by satisfaction and market presence

Highlighted products: ScyllaDB, Amazon Keyspaces, Google Cloud BigTable, Azure Table Storage, Cassandra, and Hbase.

Underlying data: [Grid® JSON](https://www.g2.com/categories/wide-column-database/grids.json?focus%5B%5D=scylladb&focus%5B%5D=amazon-keyspaces&focus%5B%5D=google-cloud-bigtable&focus%5B%5D=azure-table-storage&focus%5B%5D=cassandra&focus%5B%5D=hbase)

ScyllaDB

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: 425

How Do G2 Users Rate ScyllaDB?

  • Ease of Admin: 8.2/10 (Category avg: 7.7/10)
  • Ease of Setup: 8.2/10 (Category avg: 8.1/10)
  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.3/10)
  • Ease of Use: 8.5/10 (Category avg: 7.9/10)

Who Is the Company Behind ScyllaDB?

  • Seller: ScyllaDB
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Palo Alto, US
  • LinkedIn® Page: www.linkedin.com
    215 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 41% Small, 29% Medium

What Do G2 Reviewers Say About ScyllaDB?

AI-generated summary from verified user reviews

Pros
  • Users are thrilled with ScyllaDB's impressive performance, highlighting low latency and high throughput for large-scale workloads.
  • Users admire the impressive speed of ScyllaDB, experiencing low latency and high throughput for optimal performance.
  • Users appreciate the seamless scalability of ScyllaDB, enabling efficient handling of large data workloads with low latency.
  • Users appreciate the low latency of ScyllaDB, ensuring efficient performance for real-time, high throughput applications.
  • Users appreciate the ease of use of ScyllaDB, facilitating straightforward setup and management in various applications.
Cons
  • Teams experience a steep learning curve with ScyllaDB, needing extensive knowledge of distributed systems for effective use.
  • Users note the limited features of ScyllaDB, especially compared to more established databases like MongoDB.
  • Users find the difficult learning curve for ScyllaDB challenging, especially newcomers adapting to its complex concepts.
  • Users find the difficult setup of ScyllaDB challenging, especially for novices needing a simpler, streamlined process.
  • Users face a steep learning curve with ScyllaDB, requiring deep technical knowledge for effective operation and tuning.

What Are Recent G2 Reviews of ScyllaDB?

Amazon Keyspaces

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.

Average Rating: 4.6/5.0

Total Reviews: 16

How Do G2 Users Rate Amazon Keyspaces?

  • Ease of Admin: 8.7/10 (Category avg: 7.7/10)
  • Ease of Setup: 9.0/10 (Category avg: 8.1/10)
  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 8.3/10)
  • Ease of Use: 8.5/10 (Category avg: 7.9/10)

Who Is the Company Behind Amazon Keyspaces?

Who Uses This Product?

  • Company Size: 53% Small, 24% Medium

What Are Recent G2 Reviews of Amazon Keyspaces?

What Are G2 Users Discussing About Amazon Keyspaces?

Google Cloud BigTable

Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle massive workloads at consistent low latency and high throughput, so it's a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis.

Average Rating: 4.4/5.0

Total Reviews: 37

How Do G2 Users Rate Google Cloud BigTable?

  • Ease of Admin: 6.7/10 (Category avg: 7.7/10)
  • Ease of Setup: 8.5/10 (Category avg: 8.1/10)
  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.3/10)
  • Ease of Use: 8.4/10 (Category avg: 7.9/10)

Who Is the Company Behind Google Cloud BigTable?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG
  • Phone: +1 (650) 253-0000

Who Uses This Product?

  • Company Size: 41% Medium, 32% Large

What Do G2 Reviewers Say About Google Cloud BigTable?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use and accessibility of Google Cloud BigTable for cloud and data management.
  • Users praise the ease of implementation with Google Cloud BigTable, enjoying its smooth UI and resource optimization.
  • Users value the seamless integration with Workspace and BigQuery, enhancing collaboration and data management effortlessly.
  • Users value the seamless integration of Google Cloud BigTable for efficient application development and big data solutions.
  • Users value the seamless data analytics capabilities of Google Cloud BigTable, enhancing their web and application development processes.
Cons
  • Users feel that the cost issues of Google Cloud BigTable can be high and unpredictable, complicating budgeting.
  • Users find the pricing high for Google Cloud BigTable, making it a challenging investment for newcomers.
  • Users face billing issues with Google Cloud BigTable, finding prices unpredictable and overall costs excessively high.
  • Users find Google Cloud BigTable complex to use, especially due to its programming requirements and overwhelming tools.
  • Users find learning difficulty due to complex usage, limited coding language support, and a need for prior knowledge.

What Are Recent G2 Reviews of Google Cloud BigTable?

What Are G2 Users Discussing About Google Cloud BigTable?

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Azure Table Storage

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: 4.1/5.0

Total Reviews: 17

How Do G2 Users Rate Azure Table Storage?

  • Ease of Admin: 8.1/10 (Category avg: 7.7/10)
  • Ease of Setup: 8.5/10 (Category avg: 8.1/10)
  • Has the product been a good partner in doing business?: 8.1/10 (Category avg: 8.3/10)
  • Ease of Use: 8.4/10 (Category avg: 7.9/10)

Who Is the Company Behind Azure Table Storage?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT
  • Phone: +1 (877) 276-2464

Who Uses This Product?

  • Company Size: 59% Small, 29% Large

What Do G2 Reviewers Say About Azure Table Storage?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the cost-effective data storage of Azure Table Storage, enabling efficient management of large datasets.
  • Users appreciate the cost efficiency of Azure Table Storage, enabling economical storage for large non-relational databases.
  • Users value the efficiency of Azure Table Storage in managing large volumes of non-relational data effectively.
  • Users find Azure Table Storage to be an amazing tool for storing and managing resources alongside other Microsoft services.
  • Users find Azure Table Storage to be an excellent integration tool with other Microsoft services for resource management.
Cons
  • Users face scalability issues with Azure Table Storage due to limited query support and lack of relational features.
  • Users find the SQL limitations of Azure Table Storage hinder its suitability for complex relational data needs.

What Are Recent G2 Reviews of Azure Table Storage?

What Are G2 Users Discussing About Azure Table Storage?

FAQs About Wide Column Database Software

Generated using AI

Last updated: June 3, 2026

Columnar storage benefits for large software-scale data analytics and reporting to support growing teams with

According to verified users, wide column database deployments are valued for staying responsive as data volumes grow and workloads become more write heavy. Recent reviewers repeatedly highlight low latency, high throughput, and predictable performance under load, which helps teams keep analytics, reporting, and operational applications moving without constant slowdowns. Buyers also mention efficient hardware use and the ability to support large datasets on fewer nodes, which can simplify scaling. In this review set, users often connect those benefits to real-time reporting, event processing, log ingestion, and fast retrieval patterns where consistency under pressure matters as much as raw speed.

Migration complexity and data loading performance for wide column databases before committing to software a

According to verified users, migration and initial rollout are often easier when a wide column database supports familiar tooling and query patterns. In the latest reviews, buyers frequently mention smoother transitions when teams are already working with Cassandra-compatible drivers, CQL workflows, and existing operational habits. Data loading performance is usually described positively for high-throughput ingestion, event streams, logs, and write-heavy applications. The main caution is not raw load speed but operational readiness: reviewers regularly mention a learning curve around cluster setup, data modeling, tuning, partition design, and monitoring. For buyers, that means strong ingestion performance can be achievable, but onboarding and architecture planning still deserve close attention before committing.

Wide column database advantages for analytical workloads and time software-series data to support growing teams

According to verified users, a wide column database is especially useful when teams need fast reads and writes across large, fast-moving datasets. Recent reviews connect these systems to analytical workloads, time-series style access patterns, event ingestion, logs, and real-time reporting where low latency cannot disappear as traffic grows. Reviewers also point to predictable behavior during heavy load, easier horizontal scaling, and strong fit for data-intensive backend services. Another recurring benefit is handling multiple high-volume workflows without forcing a separate system for every need. For buyers evaluating fit, the strongest review-backed theme is dependable performance for large-scale workloads rather than broad support for highly relational querying.

What is a wide column database

A wide column database is a database approach built for storing and retrieving very large volumes of distributed data with fast reads, fast writes, and flexible data models. In recent G2 reviews for this category, users describe it as a strong fit for low-latency workloads, high-throughput ingestion, large-scale key-value access, event data, logs, and real-time applications. Review themes also show that buyers associate this category with horizontal scaling, predictable performance under load, and efficient handling of large datasets. At the same time, reviewers commonly note that success depends on solid data modeling, cluster planning, and operational understanding, especially for teams new to distributed systems.

How does wide column database integrate with Cassandra tooling

G2 reviewers mention that integration with Cassandra tooling is one of the clearest adoption advantages in this category. Across recent reviews, buyers repeatedly describe easier evaluation and migration when a platform works with familiar drivers, CQL-based workflows, and existing operational patterns. That compatibility can reduce code changes, shorten proof-of-concept work, and help teams reuse established skills. Reviewers also connect this integration story to smoother scaling for backend services, event pipelines, and write-heavy applications. The main tradeoff is that compatibility does not remove the need for careful schema design, cluster management, and observability setup, which still appear often in buyer feedback from the last six months.

Cassandra

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

How Do G2 Users Rate Cassandra?

  • Ease of Admin: 7.9/10 (Category avg: 7.7/10)
  • Ease of Setup: 8.2/10 (Category avg: 8.1/10)
  • Has the product been a good partner in doing business?: 7.4/10 (Category avg: 8.3/10)
  • Ease of Use: 7.8/10 (Category avg: 7.9/10)

Who Is the Company Behind Cassandra?

Who Uses This Product?

  • Top Industries: Information Technology and Services, Internet
  • Company Size: 49% Large, 34% Medium

What Are Recent G2 Reviews of Cassandra?

What Are G2 Users Discussing About Cassandra?

Hbase

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.

Average Rating: 4.2/5.0

Total Reviews: 103

How Do G2 Users Rate Hbase?

  • Ease of Admin: 7.0/10 (Category avg: 7.7/10)
  • Ease of Setup: 7.3/10 (Category avg: 8.1/10)
  • Has the product been a good partner in doing business?: 8.0/10 (Category avg: 8.3/10)
  • Ease of Use: 7.6/10 (Category avg: 7.9/10)

Who Is the Company Behind Hbase?

Who Uses This Product?

  • Who Uses This: Software Engineer, Big Data Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 52% Large, 27% Medium

What Are Recent G2 Reviews of Hbase?

What Are G2 Users Discussing About Hbase?

YugabyteDB

YugabyteDB is AI-ready, turbocharged PostgreSQL for business-critical transactional applications. 100% open source, it offers built-in resilience, on-demand scaling, and more! YugabyteDB eliminates the tradeoffs you get with legacy databases by uniquely combining enterprise-grade RDBMS capabilities with the horizontal scalability and resilience of cloud native architectures. YugabyteDB delivers a single logical database that can span across any cloud (private, public or hybrid). Industry-leading companies including Kroger, GM, Rakuten, Fiserv and Wells Fargo rely on YugabyteDB for mission-critical transactional applications. PostgreSQL Compatibility: YugabyteDB is more than just wire compatible with PostgreSQL, it is code compatible. YugabyteDB achieves this by reusing PostgreSQL’s query layer to achieve a high degree of compatibility with existing PostgreSQL applications or those that can be migrated to PostgreSQL. Developers can be immediately productive with the ecosystem of PostgreSQL-compatible frameworks, applications, drivers, and tools. Advanced Relational Database Capabilities: YugabyteDB delivers a comprehensive set of advanced RDBMS features like triggers, functions, stored procedures, strong secondary indexes, and distributed ACID transactions. This means that developers don't need to choose between the horizontal scalability of NoSQL systems and the ACID guarantees of traditional SQL systems. Resilience and High Availability: With YugabyteDB, critical services remain available during node, zone, region, and data center failures with fast failovers. YugabyteDB heals itself by re-replicating data automatically, and delivers zero downtime on maintenance tasks such as software upgrades, security patching, and distributed backups. Horizontal Scalability: Operations teams can effortlessly scale out even under heavy load without disruption or downtime by simply adding nodes to their YugabyteDB cluster. The database automatically rebalances load to use available resources. YugabyteDB’s shared nothing architecture is designed with no single point of failure or bottleneck. Geographic Distribution: YugabyteDB offers the most comprehensive and flexible deployment options in geo-distributed environments. Operators can make use of synchronous and asynchronous data replication and geo-partitioning to achieve desired consistency, resilience, performance, and compliance objectives. Security: YugabyteDB is built from the ground up with data security in mind. The database enables organizations to maintain a robust security posture with built-in controls such as LDAP authentication, role-based access control (RBAC), data encryption at rest and in transit (TLS), audit logging, and column-level permissions. Advanced features such as row level security (RLS) and column-level encryption are available for more advanced use cases. YugabyteDB is 100% open source, so download and start using the full set of features for free. You can also choose a flexible cloud DBaaS consumption option based on your needs: 1. YugabyteDB Aeon: Start with a free trial and enjoy a fully-managed DBaaS service that allows you to leave the day 2 operations and management work to YugabyteDB. 2. YugabyteDB Anywhere: Deploy a self-managed DBaaS in your environment with built-in automation to deploy, scale, and monitor YugabyteDB clusters at scale. YugabyteDB Voyager is an end-to-end modernization tool that can accelerate your cloud native adoption by simplifying the migration of both schema and data from databases including Oracle, PostgreSQL, MySQL, Aurora PostgreSQL, Azure SQL for PostgreSQL, and more. Learn more about YugabyteDB: https://www.yugabyte.com/ Sign up for YugabyteDB Aeon for free: https://cloud.yugabyte.com/

Average Rating: 4.5/5.0

Total Reviews: 62

How Do G2 Users Rate YugabyteDB?

  • Ease of Admin: 8.1/10 (Category avg: 7.7/10)
  • Ease of Setup: 8.5/10 (Category avg: 8.1/10)
  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.3/10)
  • Ease of Use: 9.0/10 (Category avg: 7.9/10)

Who Is the Company Behind YugabyteDB?

  • Seller: Yugabyte, Inc.
  • Company Website:
  • Year Founded: 2016
  • HQ Location: Sunnyvale, CA
  • LinkedIn® Page: www.linkedin.com
    497 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Computer Software
  • Company Size: 45% Medium, 40% Small

What Do G2 Reviewers Say About YugabyteDB?

AI-generated summary from verified user reviews

Pros
  • Users value the linear scalability of YugabyteDB, enabling easy handling of growing workloads and improved performance.
  • Users commend YugabyteDB's impressive reliability, noting smooth failover and minimal downtime in critical environments.
  • Users commend the high availability of YugabyteDB, ensuring reliable performance for critical applications with minimal downtime.
  • Users value the high availability of YugabyteDB, ensuring robust performance and uptime for critical workloads.
  • Users value the high performance and scalability of YugabyteDB, enhancing their ability to handle growing workloads effortlessly.
Cons
  • Users experience operational complexity with YugabyteDB, finding the learning curve steep for new teams and advanced topics.
  • Users face a steep learning curve with YugabyteDB due to complex setup and limited documentation on advanced features.
  • Users find the setup and configuration complex, especially for those lacking operational knowledge of distributed systems.
  • Users often find the complex configuration challenging, especially when managing distributed clusters and planning installations.
  • Users experience slow performance with YugabyteDB, especially during large data aggregations and complex setups.

What Are Recent G2 Reviews of YugabyteDB?

Accumulo

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

How Do G2 Users Rate Accumulo?

  • Ease of Admin: 6.1/10 (Category avg: 7.7/10)
  • Ease of Setup: 6.1/10 (Category avg: 8.1/10)
  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.3/10)
  • Ease of Use: 7.5/10 (Category avg: 7.9/10)

Who Is the Company Behind Accumulo?

Who Uses This Product?

  • Company Size: 42% Small, 33% Medium

What Are Recent G2 Reviews of Accumulo?

What Are G2 Users Discussing About Accumulo?

Alibaba Table Store

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

Average Rating: 2.5/5.0

Total Reviews: 1

How Do G2 Users Rate Alibaba Table Store?

  • Ease of Admin: 5.0/10 (Category avg: 7.7/10)
  • Ease of Setup: 3.3/10 (Category avg: 8.1/10)
  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.3/10)
  • Ease of Use: 1.7/10 (Category avg: 7.9/10)

Who Is the Company Behind Alibaba Table Store?

  • Seller: Alibaba
  • HQ Location: Hangzhou
  • LinkedIn® Page: www.linkedin.com
    5,321 employees on LinkedIn®
  • Ownership: BABA
  • Total Revenue (USD mm): $509,711

Who Uses This Product?

  • Company Size: 100% Small

Shapelets

The first state-of-the-art platform for time series analysis

Average Rating: 4.6/5.0

Total Reviews: 10

How Do G2 Users Rate Shapelets?

  • Ease of Admin: 8.3/10 (Category avg: 7.7/10)
  • Ease of Setup: 9.5/10 (Category avg: 8.1/10)
  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 8.3/10)
  • Ease of Use: 8.8/10 (Category avg: 7.9/10)

Who Is the Company Behind Shapelets?

  • Seller: Shapelets
  • Year Founded: 2018
  • HQ Location: Málaga, Andalusia
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 40% Small, 30% Large

What Are Recent G2 Reviews of Shapelets?

What Are G2 Users Discussing About Shapelets?

Actian VectorAI DB

Actian VectorAI DB is a vector database built for AI agents, giving them persistent memory and low-latency retrieval on infrastructure you own.

Who Is the Company Behind Actian VectorAI DB?

  • Seller: HCL Technologies
  • Year Founded: 1999
  • HQ Location: Noida, Uttar Pradesh
  • LinkedIn® Page: www.linkedin.com
    258,955 employees on LinkedIn®
  • Ownership: NSE - National Stock Exchange of India
  • Total Revenue (USD mm): $706,760

Amazon DocumentDB

Amazon DocumentDB (with MongoDB compatibility) is a database service that is purpose-built for JSON data management at scale, fully managed and integrated with AWS, and enterprise-ready with high durability. Amazon DocumentDB is designed from the ground-up to give you the scalability and durability you need when operating mission-critical MongoDB workloads. In Amazon DocumentDB, storage scales automatically up to 64TiB without any impact to your application. It supports millions of requests per second with up to 15 low latency read replicas in minutes, without any application downtime, regardless of the size of your data. Amazon DocumentDB now supports Global Clusters. Global Clusters is a new feature that provides disaster recovery from region-wide outages and enables low-latency global reads by allowing reads from the nearest Amazon DocumentDB cluster. Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs). You can use AWS Database Migration Service (DMS) for free (for six months) to easily migrate your self-managed MongoDB databases to Amazon DocumentDB with virtually no downtime.

Average Rating: 4.3/5.0

Total Reviews: 42

How Do G2 Users Rate Amazon DocumentDB?

  • Ease of Admin: 8.2/10 (Category avg: 7.7/10)
  • Ease of Setup: 8.5/10 (Category avg: 8.1/10)
  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.3/10)
  • Ease of Use: 8.6/10 (Category avg: 7.9/10)

Who Is the Company Behind Amazon DocumentDB?

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 39% Small, 34% Large

What Do G2 Reviewers Say About Amazon DocumentDB?

AI-generated summary from verified user reviews

Pros
  • Users value the reliable cloud computing services provided by Amazon DocumentDB, enhancing their database management experience.
  • Users value the easy integration with other AWS services, enhancing their overall experience with DocumentDB.
  • Users value the seamless integration with other AWS services, enhancing the functionality of Amazon DocumentDB.
  • Users value the reliability of Amazon DocumentDB for dependable cloud computing services in their applications.
Cons
  • Users find Amazon DocumentDB's complexity challenging, making it difficult to understand and navigate effectively.
  • Users find the dependency issues of Amazon DocumentDB problematic, especially when considering migration to other databases.
  • Users find Amazon DocumentDB expensive compared to other DBaaS providers, complicating migrations and increasing operational concerns.

What Are Recent G2 Reviews of Amazon DocumentDB?

What Are G2 Users Discussing About Amazon DocumentDB?

Amazon DynamoDB

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: 498

How Do G2 Users Rate Amazon DynamoDB?

  • Ease of Admin: 8.8/10 (Category avg: 7.7/10)
  • Ease of Setup: 8.9/10 (Category avg: 8.1/10)
  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.3/10)
  • Ease of Use: 8.7/10 (Category avg: 7.9/10)

Who Is the Company Behind Amazon DynamoDB?

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 35% Large, 34% Medium

What Do G2 Reviewers Say About Amazon DynamoDB?

AI-generated summary from verified user reviews

Pros
  • Users value the high scalability of Amazon DynamoDB, enabling seamless performance even during high traffic periods.
  • Users appreciate the ease of use of Amazon DynamoDB, as it simplifies data management and reduces operational effort.
  • Users appreciate the cost efficiency of Amazon DynamoDB, reducing operational effort and eliminating server management overhead.
  • Users appreciate the high performance with low latency of Amazon DynamoDB, enhancing efficiency as data grows.
  • Users appreciate the fully managed services of Amazon DynamoDB, which significantly reduce operational overhead and complexity.
Cons
  • Users find the cost structure unclear, leading to unexpected expenses without proper capacity planning on Amazon DynamoDB.
  • Users find the query complexity of Amazon DynamoDB challenging, especially with data modeling and performance issues.
  • Users find the data modeling and query complexity of Amazon DynamoDB challenging, especially for beginners and performance optimization.
  • Users face a steep learning curve in data modeling and querying when starting with Amazon DynamoDB.
  • Users often face cost management challenges with DynamoDB, risking high expenses without careful optimization and planning.

What Are Recent G2 Reviews of Amazon DynamoDB?

What Are G2 Users Discussing About Amazon DynamoDB?

Amazon ElastiCache

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: 84

How Do G2 Users Rate Amazon ElastiCache?

  • Ease of Admin: 8.7/10 (Category avg: 7.7/10)
  • Ease of Setup: 8.7/10 (Category avg: 8.1/10)
  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 8.3/10)
  • Ease of Use: 8.9/10 (Category avg: 7.9/10)

Who Is the Company Behind Amazon ElastiCache?

Who Uses This Product?

  • Who Uses This: DevOps Engineer, Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 35% Small, 33% Medium

What Do G2 Reviewers Say About Amazon ElastiCache?

AI-generated summary from verified user reviews

Pros
  • Users find cost efficiency in alternatives to Amazon ElastiCache, citing significant savings and better performance options.
  • Users highlight the lack of effective customer support from AWS, leading to negative experiences with billing and account security.
  • Users appreciate the extremely low-latency performance of Amazon ElastiCache, enhancing application responsiveness during traffic spikes.
  • Users appreciate the extremely low-latency performance of Amazon ElastiCache, enhancing application response times significantly.
  • Users appreciate the extremely low-latency performance of Amazon ElastiCache, enhancing application response times and managing traffic spikes effectively.
Cons
  • Users criticize the cost issues with ElastiCache, feeling it's overpriced with inadequate support compared to alternatives.
  • Users often face downtime issues when scaling large Redis clusters, requiring careful planning and rebalancing.
  • Users find AWS ElastiCache to be expensive and lacking support, prompting many to switch to more cost-effective solutions.
  • Users report poor customer support with Amazon ElastiCache, leading many to switch to alternatives like GCP.
  • Users struggle with scaling issues in Amazon ElastiCache, often needing downtime and careful rebalancing for large Redis clusters.

What Are Recent G2 Reviews of Amazon ElastiCache?

What Are G2 Users Discussing About Amazon ElastiCache?

ArcadeDB

ArcadeDB is an open-source, multi-model database for teams that want one fast, dependable operational database instead of a stack of specialised engines. A single ACID-compliant engine stores graphs, JSON documents, key/value pairs, time series and vector embeddings, with full-text search built in, so a knowledge graph, a product catalog, a cache and a semantic search index can live in the same transactional database. Every model is native to the engine, so there is no translation layer slowing queries down. You can query ArcadeDB with SQL, Cypher (OpenCypher), Gremlin, GraphQL, MongoDB queries or Redis commands, and connect with existing PostgreSQL, MongoDB and Redis wire-protocol drivers, Bolt, HTTP/JSON, or the Java API. This makes it a practical choice for knowledge graphs, GraphRAG and AI agent memory, fraud detection, recommendations, identity and access graphs, and IoT telemetry. ArcadeDB is built for performance and a low memory footprint. On the public LDBC Graphalytics and LSQB benchmark suites, run by ArcadeDB on identical hardware, it is among the fastest engines tested, and the scripts to reproduce the results are open source. Run ArcadeDB embedded inside a Java application, or as a server on Docker, Kubernetes, Linux, macOS or Windows. Production features include high availability with automatic failover, Write-Ahead Log crash recovery, backups, security and users, and the ArcadeDB Studio web console for querying and visualising data. Integrations include LangChain, LlamaIndex, Haystack, Cognee, an MCP server for AI agents, Grafana, Prometheus and OpenTelemetry, and BI tools such as Tableau, Power BI, Metabase and Superset over the PostgreSQL protocol. ArcadeDB is Apache 2.0 licensed, free forever, with no contributor license agreement and no separate enterprise edition: every feature is in the free build. Arcade Data, the company behind ArcadeDB, offers optional Silver, Gold and Platinum support subscriptions with guaranteed response times for production deployments.

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind ArcadeDB?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of ArcadeDB?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated October 3, 2024