Best Columnar Databases

How Many Columnar Databases Products Does G2 Track?

Total Products under this Category: 27

Category Stats (Sep 2026)

  • Average Rating: 4.33/5 The average rating of products in this category, based on all submitted ratings

Last updated: September 23, 2026

How Does G2 Rank Columnar Databases Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 3,400+ Authentic Reviews
  • 27+ 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 Columnar Databases

G2 Grid® for Columnar Databases plotting products by satisfaction and market presence

Highlighted products: Google Cloud BigQuery, Snowflake, Amazon Redshift, ClickHouse, Rocket Vertica, MariaDB, StarTree, and MonetDB.

Underlying data: [Grid® JSON](https://www.g2.com/categories/columnar-databases/grids.json?focus%5B%5D=google-cloud-bigquery&focus%5B%5D=snowflake&focus%5B%5D=amazon-redshift&focus%5B%5D=clickhouse&focus%5B%5D=rocket-vertica&focus%5B%5D=mariadb&focus%5B%5D=startree&focus%5B%5D=monetdb)

Google Cloud BigQuery

BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.

Average Rating: 4.5/5.0

Total Reviews: 1,144

How Do G2 Users Rate Google Cloud BigQuery?

  • Data Model: 9.0/10 (Category avg: 8.7/10)
  • Data Types: 8.7/10 (Category avg: 8.5/10)
  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.4/10)
  • Integrated Cache: 8.5/10 (Category avg: 8.5/10)

Who Is the Company Behind Google Cloud BigQuery?

  • 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?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 38% Large, 35% Medium

What Do G2 Reviewers Say About Google Cloud BigQuery?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Google Cloud BigQuery, enabling fast analysis without needing to manage infrastructure.
  • Users appreciate the incredible speed of BigQuery, making data processing effortless and efficient for large datasets.
  • Users value the seamless integrations of Google Cloud BigQuery, enhancing analytics and supporting various data types effortlessly.
  • Users appreciate the fast querying capabilities of Google Cloud BigQuery, enabling quick analysis of massive datasets effortlessly.
  • Users value the query efficiency of BigQuery, enabling fast analysis of massive datasets with minimal effort.
Cons
  • Users find the cost structure expensive, especially with complex queries leading to rapidly escalating charges.
  • Users often face query issues with BigQuery, as inefficient queries can rapidly increase costs and complicate budgeting.
  • Users find the cost management challenging, facing unpredictable pricing and needing strict governance to maintain budgets.
  • Users face cost issues with Google Cloud BigQuery, often leading to unexpectedly high bills and budget management challenges.
  • Users find the steep learning curve for advanced features challenging, requiring significant time and effort to master.

What Are Recent G2 Reviews of Google Cloud BigQuery?

What Are G2 Users Discussing About Google Cloud BigQuery?

Snowflake

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW).

Average Rating: 4.6/5.0

Total Reviews: 713

How Do G2 Users Rate Snowflake?

  • Data Model: 9.2/10 (Category avg: 8.7/10)
  • Data Types: 9.2/10 (Category avg: 8.5/10)
  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.4/10)
  • Integrated Cache: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Snowflake?

  • Seller: Snowflake, Inc.
  • Company Website:
  • Year Founded: 2012
  • HQ Location: 135 Constitution Drive, Menlo Park CA
  • Twitter: @SnowflakeDB
    278 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    12,574 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Medium, 42% Large

What Do G2 Reviewers Say About Snowflake?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Snowflake, which simplifies data sharing and enhances productivity across teams.
  • Users value the reliable features and user-friendly interface of Snowflake, enhancing data management and analytics efficiency.
  • Users appreciate the ease of use and efficient data integration in Snowflake for their warehousing projects.
  • Users value the seamless scalability of Snowflake, enabling efficient handling of large datasets and workload changes without performance loss.
  • Users value the fast and efficient data processing capabilities of Snowflake, enhancing their analysis experience significantly.
Cons
  • Users highlight the high costs of Snowflake, making it less accessible for smaller businesses with limited budgets.
  • Users find feature limitations in Snowflake, such as lack of code blocks and restricted permissions, frustrating.
  • Users find the learning curve steep, requiring training due to its complexity and overwhelming interface for beginners.
  • Users often struggle with high costs due to unoptimized queries and inadequate cost control measures in Snowflake.
  • Users find the cost structure challenging, requiring time to optimize for efficient use of Snowflake.

What Are Recent G2 Reviews of Snowflake?

What Are G2 Users Discussing About Snowflake?

Amazon Redshift

Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

Average Rating: 4.3/5.0

Total Reviews: 371

How Do G2 Users Rate Amazon Redshift?

  • Data Model: 8.4/10 (Category avg: 8.7/10)
  • Data Types: 8.4/10 (Category avg: 8.5/10)
  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 8.4/10)
  • Integrated Cache: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Amazon Redshift?

  • 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?

  • Who Uses This: Data Engineer, Senior Data Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 40% Large, 39% Medium

What Do G2 Reviewers Say About Amazon Redshift?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the fast querying capabilities of Amazon Redshift, enjoying efficient and smooth data access for large datasets.
  • Users appreciate the seamless integrations of Amazon Redshift, enhancing functionality and efficiency across their data solutions.
  • Users appreciate the ease of use of Amazon Redshift, finding it simple to connect and manage data effectively.
  • Users appreciate the easy integrations with other software and AWS services, enhancing their data management experience.
  • Users appreciate the impressive speed and scalability of Amazon Redshift, enhancing their data warehousing experience significantly.
Cons
  • Users note notable feature limitations in Amazon Redshift, particularly in advanced analytics and cross-language coding.
  • Users find software limitations in Redshift, experiencing issues with performance, concurrency, and data type support.
  • Users face significant complexity in optimizations with Redshift, requiring extensive management and specialized knowledge for effective use.
  • Users face query issues, requiring significant time for optimization, tuning, and managing complexity and concurrency challenges.
  • Users face a significant query optimization challenge with Redshift, requiring considerable effort and specialized knowledge.

What Are Recent G2 Reviews of Amazon Redshift?

What Are G2 Users Discussing About Amazon Redshift?

ClickHouse

ClickHouse is the fastest and most resource efficient real-time database and data warehouse. ClickHouse is optimized to serve a wide range of data-intensive workloads, from powering interactive user-facing dashboards to running ad-hoc historical analysis over petabytes of data. Today, ClickHouse Cloud is used by enterprises all over the world, including Lyft, Sony, IBM, GitLab, Twilio, HubSpot, and many more. ClickHouse is available open-source or through cloud services on AWS, GCP, and soon, Azure.

Average Rating: 4.5/5.0

Total Reviews: 22

How Do G2 Users Rate ClickHouse?

  • Data Model: 9.2/10 (Category avg: 8.7/10)
  • Data Types: 9.0/10 (Category avg: 8.5/10)
  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.4/10)
  • Integrated Cache: 8.1/10 (Category avg: 8.5/10)

Who Is the Company Behind ClickHouse?

  • Seller: ClickHouse
  • Year Founded: 2021
  • HQ Location: Palo Alto, US
  • Twitter: @ClickhouseDB
    18,013 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    682 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 52% Small, 39% Medium

What Do G2 Reviewers Say About ClickHouse?

AI-generated summary from verified user reviews

Pros
  • Users value the easy integrations of ClickHouse, enhancing data visualization and operational insights effortlessly.
  • Users value the smooth integrations with tools like Grafana and dbt for enhanced data visualization and insights.
  • Users praise the query efficiency of ClickHouse, noting its speed and effectiveness even with massive datasets.
  • Users commend ClickHouse for its exceptionally fast query performance, enabling rapid analytics on large datasets.
  • Users love the exceptional speed of ClickHouse, enabling rapid analytics on massive datasets effortlessly.
Cons
  • Users find beginner unfriendliness in ClickHouse due to the complexity of query optimizations requiring advanced knowledge.
  • Users find that complex usage of ClickHouse necessitates advanced expertise, posing challenges for beginners.
  • Users find that complex query optimizations demand specialized knowledge, posing challenges for newcomers to ClickHouse.
  • Users find that required expertise for complex queries can be challenging, especially for newcomers to ClickHouse.
  • Users find that training is required for complex query optimizations, posing challenges for new users.

What Are Recent G2 Reviews of ClickHouse?

What Are G2 Users Discussing About ClickHouse?

Rocket Vertica

Vertica is the unified analytics platform, based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-in machine learning capability. Vertica enables data analytics teams to easily apply these powerful functions to large and demanding analytical workloads, arming them and their customers with predictive business insights. Vertica provides a unified analytics platform across major public clouds and on-premises data centers, and integrates data in cloud object storage and HDFS without forcing any data movement. Available as a SaaS option, or as a customer-managed platform, Vertica helps teams combine growing data siloes for a more complete view of available data. Vertica features separation of compute and storage, so teams can spin up storage and compute resources as needed, then spin down afterwards to reduce costs.

Average Rating: 4.3/5.0

Total Reviews: 195

How Do G2 Users Rate Rocket Vertica?

  • Data Model: 8.4/10 (Category avg: 8.7/10)
  • Data Types: 8.0/10 (Category avg: 8.5/10)
  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.4/10)
  • Integrated Cache: 8.5/10 (Category avg: 8.5/10)

Who Is the Company Behind Rocket Vertica?

  • Seller: Rocket Software
  • Year Founded: 1990
  • HQ Location: Waltham, MA
  • Twitter: @Rocket
    3,532 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,417 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Senior Software Engineer, Data Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 44% Large, 39% Medium

What Are Recent G2 Reviews of Rocket Vertica?

What Are G2 Users Discussing About Rocket Vertica?

MariaDB

MariaDB frees companies from the costs, constraints and complexity of proprietary databases, enabling them to reinvest in what matters most – rapidly developing innovative, customer-facing applications. MariaDB uses pluggable, purpose-built storage engines to support workloads that previously required a variety of specialized databases. With complexity and constraints eliminated, enterprises can now depend on a single complete database for all their needs, whether on commodity hardware or their cloud of choice. Deployed in minutes for transactional or analytical use cases, MariaDB delivers unmatched operational agility without sacrificing key enterprise features including real ACID compliance and full SQL. Trusted by organizations such as Deutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens – MariaDB meets the same core requirements as proprietary databases at a fraction of the cost. No wonder it’s the fastest growing open source database. Real business relies on MariaDB™.

Average Rating: 4.4/5.0

Total Reviews: 219

How Do G2 Users Rate MariaDB?

  • Data Model: 8.8/10 (Category avg: 8.7/10)
  • Data Types: 8.9/10 (Category avg: 8.5/10)
  • Has the product been a good partner in doing business?: 8.1/10 (Category avg: 8.4/10)
  • Integrated Cache: 9.0/10 (Category avg: 8.5/10)

Who Is the Company Behind MariaDB?

  • Seller: MariaDB
  • Year Founded: 2014
  • HQ Location: Espoo, Finland
  • Twitter: @mariadb
    452,246 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    398 employees on LinkedIn®
  • Ownership: NYSE: MRDB

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 43% Small, 33% Medium

What Do G2 Reviewers Say About MariaDB?

AI-generated summary from verified user reviews

Pros
  • Users find MariaDB to be easy to use, enhancing integration with various platforms and overall performance.
  • Users appreciate the easy integrations of MariaDB, allowing seamless connectivity with different platforms and systems.
  • Users value the easy backup capabilities of MariaDB, enhancing their data management and security processes seamlessly.
  • Users value the superior execution speed of MariaDB, especially when compared to MySQL, enhancing overall efficiency.
  • Users value the cost efficiency of MariaDB, enjoying its free access and high-performance features.
Cons
  • Users find MariaDB's beginner unfriendliness challenging initially due to its CLI interface, but improve with daily use.
  • Users struggle with connectivity issues in MariaDB, often facing integration failures without clear bug identification.
  • New users often face difficult learning curves with MariaDB's CLI, impacting their initial experience despite its eventual usability.
  • Users experience integration failures in MariaDB, often unable to diagnose the underlying issues effectively.
  • Users note feature limitations and initial discomfort with CLI, but find it better with daily use.

What Are Recent G2 Reviews of MariaDB?

What Are G2 Users Discussing About MariaDB?

StarTree

StarTree Cloud is a fully-managed user-facing real-time analytics Database-as-a-Service (DBaaS) designed for OLAP at massive speed and scale. Based on Apache Pinot™, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment.

Average Rating: 4.5/5.0

Total Reviews: 29

How Do G2 Users Rate StarTree?

  • Data Model: 8.3/10 (Category avg: 8.7/10)
  • Data Types: 8.1/10 (Category avg: 8.5/10)
  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.4/10)
  • Integrated Cache: 8.7/10 (Category avg: 8.5/10)

Who Is the Company Behind StarTree?

  • Seller: StarTree
  • Company Website:
  • Year Founded: 2019
  • HQ Location: Mountain View, California
  • Twitter: @startreedata
    2,275 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    111 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 38% Small, 31% Medium

What Do G2 Reviewers Say About StarTree?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the real-time analytics efficiency of StarTree, enabling fast insights and effortless exploration of large datasets.
  • Users appreciate the extremely fast querying capabilities of StarTree, enabling efficient real-time analytics with low latency.
  • Users appreciate the ability to efficiently handle large datasets with fast, real-time analytics on StarTree.
  • Users value the exceptional real-time performance of StarTree, allowing fast analytics and insights from large datasets.
  • Users appreciate the efficient handling of large data volumes with StarTree, enhancing real-time analytics performance significantly.
Cons
  • Users note a steep learning curve with StarTree, which can challenge new teams unfamiliar with real-time OLAP systems.
  • Users find the complex setup process challenging, especially new users managing configurations and integrations.
  • Users find the difficult setup challenging, particularly due to complex configurations and unclear documentation for new users.
  • Users struggle with insufficient documentation, making initial setup and complex configurations challenging, particularly for new users.
  • Users find the documentation lacking, making initial configuration complex and challenging for new users to navigate.

What Are Recent G2 Reviews of StarTree?

MonetDB

An Open-Source Database System

Average Rating: 4.4/5.0

Total Reviews: 16

How Do G2 Users Rate MonetDB?

  • Data Model: 8.6/10 (Category avg: 8.7/10)
  • Data Types: 8.6/10 (Category avg: 8.5/10)
  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.4/10)
  • Integrated Cache: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind MonetDB?

  • Seller: MonetDB
  • Year Founded: 2013
  • HQ Location: Amsterdam, NL
  • LinkedIn® Page: www.linkedin.com
    8 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 56% Small, 38% Medium

What Do G2 Reviewers Say About MonetDB?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the fast querying capability of MonetDB, enhancing performance and efficiency in data management.
  • Users value the fast data analysis and user-defined functions of MonetDB that enhance productivity and ease of use.
  • Users appreciate the increased speed of MonetDB, enhancing query processing and data analysis efficiency significantly.
  • Users appreciate the high performance of MonetDB, benefiting from fast query handling and efficient big data analysis.
  • Users value the user-friendly and fast performance of MonetDB, making it ideal for large data processing tasks.
Cons
  • Users find the complex setup of MonetDB challenging, often struggling with installation and connection issues.
  • Users experience connectivity issues when integrating MonetDB with Python, complicating their data science workflows.
  • Users find MonetDB has limited customization options, especially with indexing and integration capabilities for workflows.
  • Users find the limited features of MonetDB restrict its use for broader applications and ease of use.
  • Users struggle with the poor documentation for installation and configuration, making setup challenging and frustrating.

What Are Recent G2 Reviews of MonetDB?

What Are G2 Users Discussing About MonetDB?

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?

  • Data Model: 8.1/10 (Category avg: 8.7/10)
  • Data Types: 7.2/10 (Category avg: 8.5/10)
  • Has the product been a good partner in doing business?: 8.0/10 (Category avg: 8.4/10)
  • Integrated Cache: 7.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Hbase?

Who Uses This Product?

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

What Are Recent G2 Reviews of Hbase?

What Are G2 Users Discussing About Hbase?

Apache Parquet

Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language.

Average Rating: 4.3/5.0

Total Reviews: 26

How Do G2 Users Rate Apache Parquet?

  • Data Model: 9.0/10 (Category avg: 8.7/10)
  • Data Types: 8.8/10 (Category avg: 8.5/10)
  • Has the product been a good partner in doing business?: 7.5/10 (Category avg: 8.4/10)
  • Integrated Cache: 8.6/10 (Category avg: 8.5/10)

Who Is the Company Behind Apache Parquet?

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 48% Medium, 30% Small

What Are Recent G2 Reviews of Apache Parquet?

CrateDB

The real-time database for analytics, search, and AI. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distributed and containerized database that runs queries in milliseconds, regardless of data complexity, volume and velocity.

Average Rating: 4.4/5.0

Total Reviews: 82

How Do G2 Users Rate CrateDB?

  • Data Model: 9.0/10 (Category avg: 8.7/10)
  • Data Types: 9.2/10 (Category avg: 8.5/10)
  • Has the product been a good partner in doing business?: 9.3/10 (Category avg: 8.4/10)
  • Integrated Cache: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind CrateDB?

  • Seller: CrateDB
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Redwood City, CA
  • Twitter: @cratedb
    4,176 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    48 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Data Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 54% Small, 31% Medium

What Do G2 Reviewers Say About CrateDB?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of setup and SQL querying in CrateDB, enhancing their productivity and efficiency.
  • Users appreciate the fast and native SQL interface of CrateDB, enabling instant queries on structured and semi-structured data.
  • Users appreciate the easy integrations of CrateDB, streamlining the process for accessing varied data types efficiently.
  • Users value the flexibility of CrateDB, enabling diverse deployment setups and adaptable solutions for various needs.
  • Users value the versatile data support in CrateDB, enjoying features like multi-model data and advanced search capabilities.
Cons
  • Users note a lack of features in CrateDB, particularly missing comparative insights and advanced analytical SQL functionalities.
  • Users find software limitations in CrateDB, such as a lack of connectors and advanced SQL functions, concerning.
  • Users express concerns over limited features in CrateDB, affecting its suitability for diverse operational needs and analytics.
  • Users find the documentation lacking, especially regarding custom configurations and integrations in CrateDB.
  • Users find complex configuration challenging due to limited documentation and lack of control over sharding in CrateDB.

What Are Recent G2 Reviews of CrateDB?

KX

We power the time-aware data-driven decisions that enable fast-moving organizations to realize the full potential of their AI investments and outpace competitors. Our technology delivers transformational value by addressing data challenges around completeness, timeliness, and efficiency. We enable organizations to understand change over time and generate faster, more accurate insights — at any scale, and with cost efficiency. Our technology is essential to the operations of the world's top investment banks, aerospace and defense, high-tech manufacturing, healthcare and life sciences, automotive, and fleet telematics organizations. The primary audience for KX encompasses line-of-business leaders, developers, data scientists, and data engineers who require sophisticated analytics capabilities to create high-performance, data-driven applications. With its unmatched speed and scalability, KX allows users to efficiently process large volumes of data, whether in cloud environments, on-premises, or at the edge. This flexibility ensures that organizations can integrate KX technology into their existing workflows seamlessly, enhancing their analytical capabilities without causing disruptions to ongoing operations. KX distinguishes itself in the analytics landscape through its independently benchmarked performance, recognized as the fastest available on the market. This speed is vital for businesses that depend on real-time data insights to inform their decision-making processes. By enabling users to uncover richer, actionable insights quickly, KX facilitates faster and more informed choices, driving competitive advantage and transformative growth. Its ability to manage complex data sets and deliver insights promptly is particularly advantageous for industries that operate in fast-paced environments, where timely information is critical. Key features of KX include advanced time series and vector data analytics capabilities, which enable efficient management and analysis of extensive data volumes. Furthermore, KX integrates seamlessly with popular analytics tools, enhancing their performance and allowing users to maximize their existing investments. The platform's architecture is designed for high performance, ensuring that organizations can scale their analytics operations as needed without sacrificing speed or efficiency. With a global presence across North America, Europe, and Asia Pacific, KX is trusted by leading organizations to spearhead their data and AI initiatives. By providing a powerful analytics solution, KX not only enhances operational efficiency but also fosters a culture of innovation, empowering businesses to remain competitive in an increasingly data-driven world.

Average Rating: 4.6/5.0

Total Reviews: 50

How Do G2 Users Rate KX?

  • Data Model: 8.8/10 (Category avg: 8.7/10)
  • Data Types: 9.5/10 (Category avg: 8.5/10)
  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.4/10)
  • Integrated Cache: 9.1/10 (Category avg: 8.5/10)

Who Is the Company Behind KX?

  • Seller: KX
  • Year Founded: 1996
  • HQ Location: NY, USA
  • Twitter: @kxsystems
    4,168 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    492 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Banking
  • Company Size: 57% Large, 25% Small

What Do G2 Reviewers Say About KX?

AI-generated summary from verified user reviews

Pros
  • Users admire the lightning-fast speed of KX's kx-dashboard, enhancing their experience in creating user reports and dashboards.
  • Users find KX's performance exceptional, appreciating its speed and advanced functionalities for creating dashboards and reports.
  • Users highlight the extreme power and versatility of KX products, appreciating their efficiency in data processing.
  • Users praise the powerful and versatile tools of KX, enhancing problem-solving efficiency with advanced support and development.
  • Users commend KX for its unparalleled real-time data processing, enabling quick and efficient, data-driven decisions.
Cons
  • Users find the learning curve steep, requiring significant time and dedication to master KX effectively.
  • Users find the difficult learning curve of KX challenging, especially due to limited external resources and cryptic programming language.
  • Users note a steep learning curve with KX due to limited external resources, but find training materials helpful.
  • Users find KX licenses to be expensive, especially for hobby users or small organizations with limited needs.
  • Users find the initial difficulties with KX challenging due to steep learning curves and limited online resources.

What Are Recent G2 Reviews of KX?

Apache Kudu

Apache Kudu is a free and open source column-oriented data store of the Apache Hadoop ecosystem.

Average Rating: 4.1/5.0

Total Reviews: 12

How Do G2 Users Rate Apache Kudu?

  • Data Model: 8.7/10 (Category avg: 8.7/10)
  • Data Types: 6.3/10 (Category avg: 8.5/10)
  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.4/10)
  • Integrated Cache: 7.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Apache Kudu?

Who Uses This Product?

  • Company Size: 54% Large, 46% Medium

What Are Recent G2 Reviews of Apache Kudu?

Druid

Apache Druid is an open source real-time analytics database. Druid combines ideas from OLAP/analytic databases, timeseries databases, and search systems to create a complete real-time analytics solution for real-time data. It includes stream and batch ingestion, column-oriented storage, time-optimized partitioning, native OLAP and search indexing, SQL and REST support, flexible schemas; all with true horizontal scalability on a shared nothing, cloud native architecture that makes it easy to deploy, monitor and manage at scale. It is downloadable for free for unlimited use from druid.apache.org and also hosted in the cloud by Imply Data.

Average Rating: 4.3/5.0

Total Reviews: 28

How Do G2 Users Rate Druid?

  • Data Model: 8.8/10 (Category avg: 8.7/10)
  • Data Types: 7.8/10 (Category avg: 8.5/10)
  • Has the product been a good partner in doing business?: 7.7/10 (Category avg: 8.4/10)
  • Integrated Cache: 8.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Druid?

  • Seller: Druid
  • Year Founded: 1998
  • HQ Location: Rio de Janeiro, Rio de Janeiro
  • Twitter: @druid
    4 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    89 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 52% Large, 29% Medium

What Are Recent G2 Reviews of Druid?

What Are G2 Users Discussing About Druid?

Apache ORC

Apache ORC is a self-describing type-aware columnar file format for Hadoop workloads.

Average Rating: 4.1/5.0

Total Reviews: 11

How Do G2 Users Rate Apache ORC?

  • Has the product been a good partner in doing business?: 8.0/10 (Category avg: 8.4/10)

Who Is the Company Behind Apache ORC?

Who Uses This Product?

  • Company Size: 45% Large, 36% Medium

What Are Recent G2 Reviews of Apache ORC?

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