Best Wide Column Database Software - Page 2

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?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 1,700+ Authentic Reviews
  • 32+ 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.

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)

AWS DataSync

AWS DataSync is a data transfer service that makes it easy for you to automate moving data between on-premises storage and Amazon S3 or Amazon Elastic File System (Amazon EFS).

Average Rating: 4.2/5.0

Total Reviews: 14

How Do G2 Users Rate AWS DataSync?

  • Ease of Admin: 9.2/10 (Category avg: 7.7/10)
  • Ease of Setup: 9.4/10 (Category avg: 8.1/10)
  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.3/10)
  • Ease of Use: 8.1/10 (Category avg: 7.9/10)

Who Is the Company Behind AWS DataSync?

Who Uses This Product?

  • Company Size: 43% Medium, 43% Small

What Are Recent G2 Reviews of AWS DataSync?

What Are G2 Users Discussing About AWS DataSync?

Bangdb

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

How Do G2 Users Rate Bangdb?

  • Ease of Admin: 6.7/10 (Category avg: 7.7/10)
  • Ease of Setup: 7.5/10 (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: 9.1/10 (Category avg: 7.9/10)

Who Is the Company Behind Bangdb?

  • Seller: BangDB
  • Year Founded: 2015
  • HQ Location: Bangalore, Karnataka
  • LinkedIn® Page: www.linkedin.com
    8 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 33% Medium

What Are Recent G2 Reviews of Bangdb?

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Elassandra

The open source database and search engine for multi-cloud applications

Who Is the Company Behind Elassandra?

Harper

HarperDB eliminates the complexity typically synonymous with distributed services by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology. When clustered and geo-distributed, HarperDB nodes instantly synchronize data to deliver a horizontally scalable service fabric, ensuring low-latency in-region responses for clients worldwide. In addition to massive cost savings at scale, HarperDB’s REST, GraphQL, and real-time interfaces make light work of servicing frontend requirements. Install and manage on your hardware, or have us host your services with HarperDB Cloud. For questions, reach us at hello@harperdb.io.

Average Rating: 4.8/5.0

Total Reviews: 4

How Do G2 Users Rate Harper?

  • Ease of Admin: 10.0/10 (Category avg: 7.7/10)
  • Ease of Setup: 8.3/10 (Category avg: 8.1/10)
  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.3/10)
  • Ease of Use: 9.2/10 (Category avg: 7.9/10)

Who Is the Company Behind Harper?

  • Seller: HarperDB
  • Year Founded: 2017
  • HQ Location: Denver, US
  • LinkedIn® Page: www.linkedin.com
    48 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of Harper?

HPE Ezmeral Data Fabric

HPE EZMERAL DATA FABRIC FILE & OBJECT STORE Industry’s first edge to cloud data fabric that ingests and centralizes different types of data into a single logical infrastructure increasing data integrity and trust in data-driven insights.

Who Is the Company Behind HPE Ezmeral Data Fabric?

  • Seller: HP Development Company
  • Year Founded: 1939
  • HQ Location: Palo Alto, CA
  • LinkedIn® Page: www.linkedin.com
    92,617 employees on LinkedIn®
  • Ownership: NYSE: HPQ
  • Total Revenue (USD mm): $26,982

Instaclustr Apache Cassandra

NetApp® Instaclustr for Apache Cassandra® is a fully managed service for the Apache 2.0-licensed open source Cassandra database, enabling deployment, operation, and scale for Cassandra clusters across cloud and on-premises environments. The service provisions, monitors, maintains, and scales open source environments backed by 24x7 expert support and strict SLAs. Instaclustr’s offering is ideal for IT operations, DevOps, and business leaders needing reliable, secure, and cost-effective management of mission-critical data. Key features include: - Automated cluster management - Global 24x7 support - Security and compliance certifications (SOC 2, ISO 27001, ISO 27018, GDPR, PCI-DSS, HIPAA) - Professional services for architecture, migration, and optimization - Flexible deployment on AWS, Azure, Google Cloud, or on-premises NetApp Instaclustr helps organizations overcome the complexity of distributed NoSQL databases, enabling teams to focus on innovation and business outcomes rather than infrastructure management.

Who Is the Company Behind Instaclustr Apache Cassandra?

  • Seller: NetApp
  • Year Founded: 1992
  • HQ Location: Sunnyvale, California
  • LinkedIn® Page: www.linkedin.com
    12,706 employees on LinkedIn®
  • Ownership: NASDAQ
  • Total Revenue (USD mm): $5,412

Macrometa

Macrometa is a hyper-distributed cloud platform featuring a Global Data Network (GDN) and PhotonIQ, an AI-powered Edge Delivery Network. With over 175 points of presence (PoPs) worldwide, Macrometa empowers enterprises to build real-time apps and APIs that store, process, and serve data within milliseconds to users globally. PhotonIQ: AI-Driven Edge Services PhotonIQ, Macrometa's suite of edge services, leverages AI and machine learning to deliver faster, more efficient, and secure digital experiences across various sectors including eCommerce, Gaming, and Financial Services. Key PhotonIQ services include: Performance Proxy (P3): Improves Core Web Vitals and optimizes web assets Dynamic Prerendering: Enhances site speed and SEO Virtual Waiting Rooms: Manages high-traffic scenarios Digital Fingerprinting: Enables privacy-preserving user tracking Unparalleled Performance Macrometa's platform ensures global P90 roundtrip response times of under 50ms, with the ability to serve results in under 50ms globally. This ultra-fast performance can significantly boost conversions, with increases of up to 72% reported for app performance improvements. Cost-Efficient and Developer-Friendly Macrometa's efficient architecture typically reduces cloud spend by 50% or more compared to traditional providers. The platform accelerates development cycles, allowing enterprises to implement PhotonIQ's AI at the edge services in 60 days or less. Developers can leverage Macrometa's API in any programming language, facilitating rapid product development and feature deployment without requiring expertise in distributed systems. By combining cutting-edge technology with ease of use, Macrometa enables businesses to deliver exceptional user experiences, drive organic traffic, and achieve substantial improvements in web performance and security.

Who Is the Company Behind Macrometa?

  • Seller: Macrometa
  • Year Founded: 2017
  • HQ Location: Palo Alto, US
  • LinkedIn® Page: www.linkedin.com
    54 employees on LinkedIn®

Managed Apache Cassandra

Instaclustr’s Managed Service for Apache Cassandra gets you up and running quickly and is the most reliable way to run Cassandra for your application. We are so confident in the performance of our clusters that we include latency and performance guarantees in our contracted SLAs. Instaclustr fully managed and SOC 2 certified managed service for Apache Cassandra® can be provided on most of the major cloud providers including AWS, Azure, GCP, and IBM Cloud.

Average Rating: 3.5/5.0

Total Reviews: 1

Who Is the Company Behind Managed Apache Cassandra?

  • Seller: NetApp
  • Year Founded: 1992
  • HQ Location: Sunnyvale, California
  • LinkedIn® Page: www.linkedin.com
    12,706 employees on LinkedIn®
  • Ownership: NASDAQ
  • Total Revenue (USD mm): $5,412

Who Uses This Product?

  • Company Size: 100% Small

MemorySync

MemorySync gives AI apps persistent memory through an API: add a memory, then query it back in natural language. Organization, project and end-user identifiers keep each workload separate. Official Python and Node SDKs are available, and it works with LangChain, LangGraph, OpenAI Agents SDK, Vercel AI SDK, CrewAI, LlamaIndex, Mastra, Agno, Google ADK, Pydantic AI, LiveKit and Pipecat. A dashboard shows retrieval tracing, memory tiers and governance policies so you can see what your AI remembers and why.

Who Is the Company Behind MemorySync?

Progress MarkLogic

Progress MarkLogic is an enterprise-grade multi-model data management platform that unlocks value from complex data. It works with the full breadth of a company's information and makes it easily discoverable and ready to power high-value applications, decision intelligence and trustworthy AI. Organizations leverage integrated capabilities to integrate, harmonize, search and visualize multi-model data to build a connected data ecosystem as the secure and scalable foundation for the AI era.

Average Rating: 4.3/5.0

Total Reviews: 65

How Do G2 Users Rate Progress MarkLogic?

  • 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?: 8.7/10 (Category avg: 8.3/10)
  • Ease of Use: 8.1/10 (Category avg: 7.9/10)

Who Is the Company Behind Progress MarkLogic?

  • Seller: Progress Software
  • Company Website:
  • Year Founded: 1981
  • HQ Location: Burlington, MA.
  • LinkedIn® Page: www.linkedin.com
    4,242 employees on LinkedIn®
  • Ownership: NASDAQ:PRGS

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 53% Large, 24% Small

What Are Recent G2 Reviews of Progress MarkLogic?

What Are G2 Users Discussing About Progress MarkLogic?

RavenDB

RavenDB is a fully ACID-compliant, multi-model NoSQL document database designed for developers building high-performance, distributed applications. It delivers fast reads and writes, native full-text and vector search for AI workloads, and automatic indexing for low-latency queries. With real-time data replication, horizontal scaling, built-in data encryption, and seamless cloud or on-premise deployment options, RavenDB supports mission-critical systems with minimal operational overhead. Trusted by over 12,000 organizations—including Toyota, Verizon, and Rakuten Kobo—RavenDB is ideal for teams that need a reliable, developer-friendly database for microservices, cloud-native architectures, and AI-powered search.

Average Rating: 4.4/5.0

Total Reviews: 13

How Do G2 Users Rate RavenDB?

  • Ease of Admin: 9.3/10 (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?: 8.6/10 (Category avg: 8.3/10)
  • Ease of Use: 9.8/10 (Category avg: 7.9/10)

Who Is the Company Behind RavenDB?

  • Seller: RavenDB
  • Year Founded: 2008
  • HQ Location: Hadera, IL
  • LinkedIn® Page: www.linkedin.com
    65 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 57% Small, 21% Medium

What Do G2 Reviewers Say About RavenDB?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the speed and efficiency of RavenDB, streamlining development with powerful features and minimal complexity.
  • Users appreciate the well-designed features of RavenDB that simplify development and reduce stack complexity.

What Are Recent G2 Reviews of RavenDB?

What Are G2 Users Discussing About RavenDB?

Studio 3T

Studio 3T is a comprehensive tool for managing MongoDB deployments designed to enhance both software development and IT efficiency, making it an essential tool for enterprise environments. It provides advanced features that streamline database management, reduce costs, and maximize the return on investment (ROI) in IT and software development. Key Features and Benefits: Visual Query Builder: Simplify complex query creation, boosting development efficiency by minimizing the need for manual coding. Query Profiler: Find and optimize slow queries to enhance database performance and reduce time it takes to fix problems. Index Manager: Manage and fine-tune indexes to improve query efficiency and overall database performance, leading to reduced operational costs. SQL Query: Facilitates easy transition for teams familiar with SQL, reducing the learning curve and speeding up development processes. Aggregation Editor: Streamlines the creation of aggregation pipelines, making data processing more efficient and reducing resource consumption. AI Query Builder: Leverages AI to build queries using natural language, regardless of technical expertise, thereby reducing training costs. Schema Explorer: Provides insights into MongoDB schemas, helping teams quickly identify and resolve modeling issues and data quality. Task Automation: Automates repetitive database tasks, allowing IT teams to focus on higher-value activities and reducing manual labor costs. Team Sharing: Facilitates sharing of queries and scripts across teams, promoting collaboration and facilitating onboarding of new team members, which directly impacts IT efficiency and cost-effectiveness.

Average Rating: 4.6/5.0

Total Reviews: 190

How Do G2 Users Rate Studio 3T?

  • Ease of Admin: 9.5/10 (Category avg: 7.7/10)
  • Ease of Setup: 9.2/10 (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: 9.0/10 (Category avg: 7.9/10)

Who Is the Company Behind Studio 3T?

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 54% Small, 24% Large

What Do G2 Reviewers Say About Studio 3T?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Studio 3T, simplifying MongoDB interactions through its intuitive visual tools.
  • Users appreciate the intuitive visual interface of Studio 3T, which simplifies complex MongoDB queries and data management.
  • Users appreciate the visual interface of Studio 3T, which simplifies MongoDB management and enhances productivity.
  • Users find the data export features incredibly helpful for sharing and migrating data smoothly in Studio 3T.
  • Users enjoy the flexibility of Studio 3T, finding it easy to adapt for various MongoDB tasks and workflows.
Cons
  • Users experience slow performance with Studio 3T, especially during startup and while managing large datasets.
  • Users experience performance issues with Studio 3T, noting slow speeds and crashes, particularly with large collections.
  • Users report connection issues with complex navigation and query timeouts when accessing remote databases in Studio 3T.
  • Users find the complex syntax challenging, especially when dealing with aggregation and grouping in queries.
  • Users find the licensing cost to be high, especially challenging for small teams and startups.

What Are Recent G2 Reviews of Studio 3T?

What Are G2 Users Discussing About Studio 3T?

SWC-DB

The SWC-DB (Super Wide Column Database) a Super Fast database management system designed to handle Yottabytes+ on a quadrillion base of entries.

Who Is the Company Behind SWC-DB?

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