Best Columnar Databases

How Many Columnar Databases Products Does G2 Track?

Total Products under this Category: 27

Category Stats (Nov 2026)

  • Average Rating: 4.32/5 (↓0.01 vs Oct 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: MonetDB (+0.07%) - Among all products in this category, MonetDB recorded the largest rating increase compared to last month

Last updated: November 13, 2026

How Does G2 Rank Columnar Databases Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 3,500+ Authentic Reviews
  • 27+ 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 Columnar Databases

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

Highlighted products: Google Cloud BigQuery, Amazon Redshift, Snowflake, 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=amazon-redshift&focus%5B%5D=snowflake&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: 1,162

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: 8.3/10)
  • 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
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG
  • Phone: +1 (650) 253-0000

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, appreciating its intuitive interface and fast query execution.
  • Users admire the fast query performance of Google Cloud BigQuery, enhancing their experience with large datasets.
  • Users value the fast querying capabilities of Google Cloud BigQuery, enabling efficient analysis of large datasets.
  • Users value the seamless SQL integration of BigQuery, enhancing data analytics in the Google Cloud ecosystem.
  • Users value the query efficiency of Google Cloud BigQuery, enjoying fast performance on large datasets with ease.
Cons
  • Users find the costs can escalate quickly without careful query optimization and monitoring on Google Cloud BigQuery.
  • Users experience query issues leading to escalated costs and unexpected behavior with special characters in BigQuery.
  • Users find that costs can escalate quickly with Google Cloud BigQuery due to unoptimized queries and large datasets.
  • Users report that costs can escalate quickly due to needing careful optimization and monitoring for large-scale queries.
  • Users find the learning curve steep for Google Cloud BigQuery, requiring significant time to master its features.

What Are Recent G2 Reviews of Google Cloud BigQuery?

What Are G2 Users Discussing About Google Cloud BigQuery?

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: 391

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: 8.3/10)
  • Integrated Cache: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Amazon Redshift?

Who Uses This Product?

  • Who Uses This: Data Engineer, Software 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 ease of use of Amazon Redshift, finding it simple to implement and manage effectively.
  • Users appreciate the smooth integrations of Amazon Redshift, enhancing efficiency and collaboration with various software platforms.
  • Users love the easy integrations with other software, enhancing their experience with Amazon Redshift and data management.
  • Users value the fast querying capabilities of Amazon Redshift, enhancing efficiency in handling large datasets effortlessly.
  • Users appreciate the impressive scalability of Amazon Redshift, enabling efficient handling of large data volumes effortlessly.
Cons
  • Users find the operational complexity of Amazon Redshift to be a significant challenge, requiring extensive optimization efforts.
  • Users note the feature limitations in Amazon Redshift, including data type restrictions and outdated Postgre setup.
  • Users face software limitations with Amazon Redshift, including costly scaling and restricted data type support.
  • Users face challenges with query issues, including optimization needs, concurrency management, and performance degradation with complex data.
  • Users note that query optimization demands significant effort and specialized knowledge, complicating overall user experience.

What Are Recent G2 Reviews of Amazon Redshift?

What Are G2 Users Discussing About Amazon Redshift?

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: 732

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: 8.3/10)
  • 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: Menlo Park, California, United States
  • LinkedIn® Page: www.linkedin.com
    12,574 employees on LinkedIn®
  • Ownership: NYSE:SNOW

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 value the ease of use of Snowflake, enjoying its user-friendly interface and seamless scalability for data analysis.
  • Users appreciate the flexible scalability of Snowflake, allowing independent adjustments to performance and efficient resource management.
  • Users value the effortless data management Snowflake offers, enabling quick analysis without infrastructure concerns.
  • Users appreciate the user-friendly interface of Snowflake, making navigation easy and intuitive for SQL tasks.
  • Users value the strong integration ecosystem of Snowflake, which enhances versatility and simplifies data workflows seamlessly.
Cons
  • Users find Snowflake to be expensive, as costs can escalate quickly without careful usage monitoring and optimization.
  • Users highlight the high costs associated with Snowflake, especially for unoptimized workloads and usage spikes.
  • Users find cost management challenging, as compute expenses can escalate quickly without careful monitoring and optimization.
  • Users find the learning curve for advanced features in Snowflake steep, especially for newcomers needing rapid proficiency.
  • Users find feature limitations in Snowflake, particularly in cost management and control over optimization and dynamic scripting.

What Are Recent G2 Reviews of Snowflake?

What Are G2 Users Discussing About Snowflake?

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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: 4.3/5.0

Total Reviews: 56

How Do G2 Users Rate ClickHouse?

  • Data Model: 9.4/10 (Category avg: 8.7/10)
  • Data Types: 8.5/10 (Category avg: 8.5/10)
  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.3/10)
  • Integrated Cache: 8.1/10 (Category avg: 8.5/10)

Who Is the Company Behind ClickHouse?

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Small, 42% Medium

What Do G2 Reviewers Say About ClickHouse?

AI-generated summary from verified user reviews

Pros
  • Users highlight the easy integrations with tools like Grafana, enhancing their ability to visualize insights seamlessly.
  • Users value the smoother integrations of ClickHouse with tools like Grafana and dbt for enhanced analytics.
  • Users appreciate the exceptional query performance of ClickHouse, enabling rapid analytics on large datasets with ease.
  • Users rave about ClickHouse's exceptional query performance, enabling lightning-fast analytics even on massive datasets.
  • Users love the exceptional speed of ClickHouse, enabling fast analytics even on massive datasets.
Cons
  • Users face beginner unfriendliness with complex query optimizations that require advanced expertise, making it challenging for newcomers.
  • Users find that complex usage of ClickHouse poses challenges, particularly for those lacking advanced query optimization skills.
  • Users find that complex query optimizations can be challenging for newcomers, requiring advanced knowledge to navigate effectively.
  • Users find that required expertise for complex query optimizations can challenge new users and hinder their experience.
  • Users find that training is required for mastering complex query optimizations, posing challenges for newcomers.

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: 8.3/10)
  • Integrated Cache: 8.5/10 (Category avg: 8.5/10)

Who Is the Company Behind Rocket Vertica?

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 is the Unified Open Database Platform for the Agentic Enterprise. Organizations use it to run transactions, analytics and AI on the same live data, instead of stitching systems together. MariaDB runs underneath the systems the world depends on every day, from airline bookings and mobile payments to core banking, government services and the networks that keep people connected. Its open platform runs on premises or in any cloud without lock-in, so organizations keep full control over their data and costs and have one company accountable for every piece. MariaDB is trusted by thousands of enterprises and millions of developers worldwide, and Deutsche Bank, DBS, Nokia, Red Hat, Samsung and Virgin Media O2 are among them.

Average Rating: 4.4/5.0

Total Reviews: 226

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: 8.3/10)
  • Integrated Cache: 9.0/10 (Category avg: 8.5/10)

Who Is the Company Behind MariaDB?

  • Seller: MariaDB
  • Company Website:
  • Year Founded: 2014
  • HQ Location: Espoo, Finland
  • LinkedIn® Page: www.linkedin.com
    400 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, 32% 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 highlight the fast query execution speed of MariaDB, especially beneficial for handling large datasets.
  • 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.
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: 8.3/10)
  • 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
  • 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 fast and efficient real-time analytics of StarTree, enhancing their ability to derive quick insights.
  • Users appreciate the fast querying capabilities of StarTree, enabling efficient real-time analytics and data exploration.
  • Users appreciate the fast real-time analytics of StarTree, enabling efficient exploration of large datasets effortlessly.
  • Users appreciate the extremely fast real-time analytics of StarTree, enabling quick insights and efficient large dataset exploration.
  • Users appreciate the efficient big data handling of StarTree, enabling real-time analytics with impressive speed and affordability.
Cons
  • Users note a steep learning curve with StarTree, particularly for new teams adapting to real-time OLAP systems.
  • Users face a complex setup that requires technical knowledge, making initial use challenging for newcomers.
  • Users find the difficult setup of StarTree challenging, particularly for those unfamiliar with Apache Pinot.
  • Users express frustration over insufficient documentation, making initial setup and configuration challenging for newcomers.
  • Users often struggle with poor documentation, finding it lacks clarity and detail for effective setup and configuration.

What Are Recent G2 Reviews of StarTree?

MonetDB

An Open-Source Database System

Average Rating: 4.4/5.0

Total Reviews: 17

How Do G2 Users Rate MonetDB?

  • Data Model: 8.8/10 (Category avg: 8.7/10)
  • Data Types: 8.5/10 (Category avg: 8.5/10)
  • Has the product been a good partner in doing business?: 7.9/10 (Category avg: 8.3/10)
  • 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: 53% Small, 35% Medium

What Do G2 Reviewers Say About MonetDB?

AI-generated summary from verified user reviews

Pros
  • Users value the fast querying capability of MonetDB, enhancing their experience with quick and efficient data handling.
  • Users appreciate the fast data analysis capabilities of MonetDB, benefiting from its efficient columnar architecture and SQL support.
  • Users praise the high speed and efficient query processing of MonetDB, enhancing data handling and analysis.
  • Users praise the high performance of MonetDB, appreciating its speed and accuracy for big data analysis.
  • Users appreciate the user-friendly interface of MonetDB, making it easy to work with for all skill levels.
Cons
  • Users find the complex setup of MonetDB challenging, often struggling with installation and configuration processes.
  • Users experience connectivity issues when integrating MonetDB with Python, complicating their data science workflows.
  • Users find MonetDB's limited customization options frustrating, impacting their ability to tailor workflows effectively.
  • Users find the limited features of MonetDB restrict its usability, particularly for transactional workloads and backup options.
  • Users find the poor documentation leads to a complex installation and configuration process with MonetDB.

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: 8.3/10)
  • 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: 8.3/10)
  • 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: 8.3/10)
  • 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
  • LinkedIn® Page: www.linkedin.com
    48 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Software 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 use of CrateDB, enjoying its simple UI and quick setup for database management.
  • Users appreciate the speed and native SQL interface of CrateDB, enabling seamless queries on structured and semi-structured data.
  • Users find easy integrations with CrateDB, enabling seamless connectivity with various tools and data types.
  • Users appreciate the flexibility of CrateDB, enabling seamless handling of diverse data types and instant querying capabilities.
  • Users value CrateDB's intuitive UI and robust multi-model support, enhancing functionality for diverse data needs.
Cons
  • Users note a lack of features in CrateDB, particularly in comparison tools and advanced functions for analytics.
  • Users express concerns about software limitations, such as a lack of advanced features and control options.
  • Users express concerns about limited features, particularly regarding connectors, security, and advanced analytics in CrateDB.
  • Users note poor documentation for CrateDB, especially regarding Kubernetes configurations and integration with other systems.
  • Users find complex configuration challenging, particularly with Kubernetes and limited sharding control, affecting ease of use.

What Are Recent G2 Reviews of CrateDB?

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: 8.3/10)
  • 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?

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: 8.3/10)
  • 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
  • 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 appreciate the exceptional speed of KX, especially for processing time-series data in real-time.
  • Users praise the superior performance of KX for creating fast, real-time dashboards with powerful features.
  • Users commend the exceptional speed of KX in processing time-series data, enhancing overall performance and efficiency.
  • Users find KDB/Q to be highly efficient, excelling in rapid columnar data manipulation and aggregation.
  • Users praise KX for its fast processing, making data manipulation and aggregation incredibly efficient and responsive.
Cons
  • Users find the steep learning curve of KX challenging, requiring significant time and dedication to master.
  • Users find the difficult learning curve of KX challenging, especially due to limited external resources for beginners.
  • Users note a steep learning curve with KX, which can be challenging due to limited external resources.
  • Users find the complexity of KX's q language challenging, citing its cryptic syntax and steep learning curve.
  • Users find the license fees for KX too expensive for occasional use, especially for small organizations and hobbyists.

What Are Recent G2 Reviews of KX?

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: 8.3/10)

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?

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: 8.3/10)
  • 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
  • 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?

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