Best Wide Column Database Software

How Many Wide Column Database Software Products Does G2 Track?

Total Products under this Category: 16

Category Stats (Sep 2026)

  • Average Rating: 4.13/5 The average rating of products in this category, based on all submitted ratings

Last updated: September 04, 2026

How Does G2 Rank Wide Column Database Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 700+ Authentic Reviews
  • 16+ 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, Microsoft Azure Cosmos DB, 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=microsoft-azure-cosmos-db&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: 426

How Do G2 Users Rate ScyllaDB?

  • Ease of Admin: 8.2/10 (Category avg: 7.9/10)
  • Ease of Setup: 8.2/10 (Category avg: 8.0/10)
  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.4/10)
  • Ease of Use: 8.5/10 (Category avg: 7.8/10)

Who Is the Company Behind ScyllaDB?

  • Seller: ScyllaDB
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Palo Alto, US
  • Twitter: @ScyllaDB
    29,592 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    214 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 appreciate the impressive performance of ScyllaDB, delivering fast results and stability under heavy workloads.
  • Users appreciate the speed and responsiveness of ScyllaDB, making complex queries and analyses simple and efficient.
  • Users appreciate the scalability of ScyllaDB, effortlessly handling millions of requests and high data loads.
  • Users value the low latency of ScyllaDB, ensuring quick results and stable performance under heavy workloads.
  • Users appreciate the ease of use of ScyllaDB, making setup and scaling remarkably straightforward for development.
Cons
  • Users find the learning curve steep, especially for beginners transitioning from other databases, impacting initial usability.
  • Users note the limited features in ScyllaDB compared to MongoDB, which affects usability and functionality.
  • Users find the difficult learning curve for new users frustrating, especially without sufficient beginner resources available.
  • Users find the difficult setup of ScyllaDB challenging, particularly for those unfamiliar with its architecture.
  • Users face a steep learning curve with ScyllaDB, making it challenging for beginners to operate effectively.

What Are Recent G2 Reviews of ScyllaDB?

Microsoft Azure Cosmos DB

Azure Cosmos DB is a fully managed NoSQL database service for modern app development. Get guaranteed single-digit millisecond response times and 99.999-percent availability, backed by SLAs, automatic and instant scalability and open-source APIs for MongoDB and Cassandra. Enjoy fast writes and reads anywhere in the world with turnkey data replication and multi-region writes. Gain insight over real-time data with no-ETL analytics using Azure Synapse Link for Azure Cosmos DB.

Average Rating: 4.4/5.0

Total Reviews: 14

How Do G2 Users Rate Microsoft Azure Cosmos DB?

  • Ease of Admin: 8.7/10 (Category avg: 7.9/10)
  • Ease of Setup: 8.9/10 (Category avg: 8.0/10)
  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 8.4/10)
  • Ease of Use: 8.8/10 (Category avg: 7.8/10)

Who Is the Company Behind Microsoft Azure Cosmos DB?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • Twitter: @microsoft
    13,091,739 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT

Who Uses This Product?

  • Company Size: 57% Large, 21% Medium

What Are Recent G2 Reviews of Microsoft Azure Cosmos DB?

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: 7.9/10)
  • Ease of Setup: 9.0/10 (Category avg: 8.0/10)
  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 8.4/10)
  • Ease of Use: 8.5/10 (Category avg: 7.8/10)

Who Is the Company Behind Amazon Keyspaces?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    147,094 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

Who Uses This Product?

  • Company Size: 53% Small, 24% Large

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: 7.9/10)
  • Ease of Setup: 8.5/10 (Category avg: 8.0/10)
  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.4/10)
  • Ease of Use: 8.4/10 (Category avg: 7.8/10)

Who Is the Company Behind Google Cloud BigTable?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

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 highlight the ease of use in managing cloud features with Google Cloud BigTable, appreciating its smooth UI.
  • Users appreciate the ease of use of Google Cloud BigTable, enjoying its seamless integration and smooth interface.
  • Users value the seamless integrations of Google Cloud BigTable, enhancing their development and data management experience effortlessly.
  • Users appreciate the seamless integration of services in Google Cloud BigTable for efficient application development and data management.
  • Users praise the efficiency of data analytics in Google Cloud BigTable, enabling seamless access and processing of big data.
Cons
  • Users highlight the high costs of Google Cloud BigTable, finding pricing unpredictable and often overwhelming.
  • Users find Google Cloud BigTable expensive, with unpredictable billing and a steep learning curve for beginners.
  • Users find the billing issues with Google Cloud BigTable frustrating due to unpredictable costs and high pricing.
  • Users find Google Cloud BigTable's complexity challenging, especially due to its overwhelming tools and costly pricing structure.
  • Users find learning difficult due to limited language support and complex usage, requiring significant programming knowledge.

What Are Recent G2 Reviews of Google Cloud BigTable?

What Are G2 Users Discussing About Google Cloud BigTable?

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.

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: 7.9/10)
  • Ease of Setup: 8.5/10 (Category avg: 8.0/10)
  • Has the product been a good partner in doing business?: 8.1/10 (Category avg: 8.4/10)
  • Ease of Use: 8.4/10 (Category avg: 7.8/10)

Who Is the Company Behind Azure Table Storage?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • Twitter: @microsoft
    13,091,739 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT

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 value the cost-effectiveness and efficiency of Azure Table Storage for managing large amounts of data seamlessly.
  • Users value the cost efficiency of Azure Table Storage, appreciating its economical storage solutions for large data volumes.
  • Users recognize the efficiency of Azure Table Storage in managing large datasets economically for various applications.
  • Users find Azure Table Storage to be an amazing tool for resource management that integrates seamlessly with Microsoft services.
  • Users love the seamless integrations of Azure Table Storage, enhancing resource management alongside other Microsoft services.
Cons
  • Users find that scalability issues arise due to limited query support and lack of essential relational features.
  • Users find the limited SQL capabilities of Azure Table Storage inadequate for complex relational data use cases.

What Are Recent G2 Reviews of Azure Table Storage?

What Are G2 Users Discussing About Azure Table Storage?

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: 7.9/10)
  • Ease of Setup: 8.2/10 (Category avg: 8.0/10)
  • Has the product been a good partner in doing business?: 7.4/10 (Category avg: 8.4/10)
  • Ease of Use: 7.8/10 (Category avg: 7.8/10)

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: 7.9/10)
  • Ease of Setup: 7.3/10 (Category avg: 8.0/10)
  • Has the product been a good partner in doing business?: 8.0/10 (Category avg: 8.4/10)
  • Ease of Use: 7.6/10 (Category avg: 7.8/10)

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: 7.9/10)
  • Ease of Setup: 8.5/10 (Category avg: 8.0/10)
  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.4/10)
  • Ease of Use: 9.0/10 (Category avg: 7.8/10)

Who Is the Company Behind YugabyteDB?

  • Seller: Yugabyte, Inc.
  • Company Website:
  • Year Founded: 2016
  • HQ Location: Sunnyvale, CA
  • Twitter: @Yugabyte
    9,272 Twitter followers
  • 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 easy scalability of YugabyteDB, allowing seamless expansion without significant downtime or complexity.
  • Users find YugabyteDB to be a highly reliable database, ensuring data safety and seamless operation even under stress.
  • Users value the high availability of YugabyteDB, enabling seamless operation and confidence in critical workloads.
  • Users appreciate the high availability of YugabyteDB, ensuring minimal downtime and supporting critical workloads effectively.
  • Users value the high performance and scalability of YugabyteDB, enabling efficient handling of increasing transaction volumes effortlessly.
Cons
  • Users find the operational complexity of YugabyteDB challenging, especially regarding multi-region management and advanced features.
  • Users note a steep learning curve with YugabyteDB, especially related to cluster setup and operational management.
  • Users find the complex setup of YugabyteDB challenging initially, requiring significant hands-on work compared to simpler databases.
  • Users find the setup and configuration complex, especially when managing distributed clusters compared to simpler systems.
  • Users experience slow performance with YugabyteDB, especially during complex queries and under heavy loads.

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: 7.9/10)
  • Ease of Setup: 6.1/10 (Category avg: 8.0/10)
  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.4/10)
  • Ease of Use: 7.5/10 (Category avg: 7.8/10)

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: 7.9/10)
  • Ease of Setup: 3.3/10 (Category avg: 8.0/10)
  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.4/10)
  • Ease of Use: 1.7/10 (Category avg: 7.8/10)

Who Is the Company Behind Alibaba Table Store?

  • Seller: Alibaba
  • HQ Location: Hangzhou
  • Twitter: @alibaba_cloud
    1,189,812 Twitter followers
  • 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

Elassandra

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

Who Is the Company Behind Elassandra?

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
  • Twitter: @HPE
    92,685 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    92,617 employees on LinkedIn®
  • Ownership: NYSE: HPQ

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
  • Twitter: @NetApp
    118,015 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    12,706 employees on LinkedIn®
  • Ownership: NASDAQ

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
  • Twitter: @NetApp
    118,015 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    12,706 employees on LinkedIn®
  • Ownership: NASDAQ

Who Uses This Product?

  • Company Size: 100% Small
Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated October 3, 2024