# Top 10 Hypertable Alternatives & Competitors **Average Rating:** 4.0/5 **Total Number of Reviews:** 1 Looking for alternatives or competitors to Hypertable? Other important factors to consider when researching alternatives to Hypertable include ease of use and reliability. The best overall Hypertable alternative is Google Cloud BigQuery. Other similar apps like Hypertable are Amazon Redshift, Snowflake, MariaDB, and Rocket Vertica. Hypertable alternatives can be found in [Columnar Databases](https://www.g2.com/categories/columnar-databases) but may also be in [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse) or [Database as a Service (DBaaS) Providers](https://www.g2.com/categories/database-as-a-service-dbaas). ## Best Paid & Free Alternatives to Hypertable - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [MariaDB](https://www.g2.com/products/mariadb/reviews) - [Rocket Vertica](https://www.g2.com/products/rocket-vertica/reviews) - [Hbase](https://www.g2.com/products/hbase/reviews) - [CrateDB](https://www.g2.com/products/cratedb/reviews) - [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews) - [KX](https://www.g2.com/products/kx-kx/reviews) - [Google Cloud BigTable](https://www.g2.com/products/google-cloud-bigtable/reviews) ## Top 10 Alternatives to Hypertable Recently Reviewed By G2 Community Browse options below. Based on reviewer data, you can see how Hypertable stacks up to the competition, check reviews from current & previous users in industries like Financial Services, and find the best product for your business. ### 1. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) By Google **Average Rating:** 4.5/5 **Total Reviews:** 1,224 Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data. Categories in common with Hypertable: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Hypertable vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-hypertable) **Compare Google Cloud BigQuery with other alternatives:** - [Google Cloud BigQuery vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigquery) - [Google Cloud BigQuery vs Snowflake](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake) - [Google Cloud BigQuery vs MariaDB](https://www.g2.com/compare/google-cloud-bigquery-vs-mariadb) - [Google Cloud BigQuery vs Rocket Vertica](https://www.g2.com/compare/google-cloud-bigquery-vs-rocket-vertica) - [Google Cloud BigQuery vs Hbase](https://www.g2.com/compare/google-cloud-bigquery-vs-hbase) - [Google Cloud BigQuery vs CrateDB](https://www.g2.com/compare/cratedb-vs-google-cloud-bigquery) - [Google Cloud BigQuery vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-google-cloud-bigquery) - [Google Cloud BigQuery vs KX](https://www.g2.com/compare/google-cloud-bigquery-vs-kx-kx) - [Google Cloud BigQuery vs Google Cloud BigTable](https://www.g2.com/compare/google-cloud-bigquery-vs-google-cloud-bigtable) ### 2. [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) By Amazon Web Services (AWS) **Average Rating:** 4.3/5 **Total Reviews:** 404 Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools. Categories in common with Hypertable: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Hypertable vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-hypertable) **Compare Amazon Redshift with other alternatives:** - [Amazon Redshift vs Google Cloud BigQuery](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigquery) - [Amazon Redshift vs Snowflake](https://www.g2.com/compare/amazon-redshift-vs-snowflake) - [Amazon Redshift vs MariaDB](https://www.g2.com/compare/amazon-redshift-vs-mariadb) - [Amazon Redshift vs Rocket Vertica](https://www.g2.com/compare/amazon-redshift-vs-rocket-vertica) - [Amazon Redshift vs Hbase](https://www.g2.com/compare/amazon-redshift-vs-hbase) - [Amazon Redshift vs CrateDB](https://www.g2.com/compare/amazon-redshift-vs-cratedb) - [Amazon Redshift vs Azure Cosmos DB](https://www.g2.com/compare/amazon-redshift-vs-azure-cosmos-db) - [Amazon Redshift vs KX](https://www.g2.com/compare/amazon-redshift-vs-kx-kx) - [Amazon Redshift vs Google Cloud BigTable](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigtable) ### 3. [Snowflake](https://www.g2.com/products/snowflake/reviews) By Snowflake, Inc. **Average Rating:** 4.5/5 **Total Reviews:** 763 Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience. Categories in common with Hypertable: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Hypertable vs Snowflake](https://www.g2.com/compare/hypertable-vs-snowflake) **Compare Snowflake with other alternatives:** - [Snowflake vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake) - [Snowflake vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-snowflake) - [Snowflake vs MariaDB](https://www.g2.com/compare/mariadb-vs-snowflake) - [Snowflake vs Rocket Vertica](https://www.g2.com/compare/rocket-vertica-vs-snowflake) - [Snowflake vs Hbase](https://www.g2.com/compare/hbase-vs-snowflake) - [Snowflake vs CrateDB](https://www.g2.com/compare/cratedb-vs-snowflake) - [Snowflake vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-snowflake) - [Snowflake vs KX](https://www.g2.com/compare/kx-kx-vs-snowflake) - [Snowflake vs Google Cloud BigTable](https://www.g2.com/compare/google-cloud-bigtable-vs-snowflake) ### 4. [MariaDB](https://www.g2.com/products/mariadb/reviews) By MariaDB **Average Rating:** 4.4/5 **Total Reviews:** 226 MariaDB is a high performance, open source database that helps the world's busiest websites deliver more content, faster. Categories in common with Hypertable: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Hypertable vs MariaDB](https://www.g2.com/compare/hypertable-vs-mariadb) **Compare MariaDB with other alternatives:** - [MariaDB vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-mariadb) - [MariaDB vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-mariadb) - [MariaDB vs Snowflake](https://www.g2.com/compare/mariadb-vs-snowflake) - [MariaDB vs Rocket Vertica](https://www.g2.com/compare/mariadb-vs-rocket-vertica) - [MariaDB vs Hbase](https://www.g2.com/compare/hbase-vs-mariadb) - [MariaDB vs CrateDB](https://www.g2.com/compare/cratedb-vs-mariadb) - [MariaDB vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-mariadb) - [MariaDB vs KX](https://www.g2.com/compare/kx-kx-vs-mariadb) - [MariaDB vs Google Cloud BigTable](https://www.g2.com/compare/google-cloud-bigtable-vs-mariadb) ### 5. [Rocket Vertica](https://www.g2.com/products/rocket-vertica/reviews) By Rocket Software **Average Rating:** 4.3/5 **Total Reviews:** 216 Vertica offers a software-based analytics platform designed to help organizations of all sizes monetize data in real time and at massive scale. Categories in common with Hypertable: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Hypertable vs Rocket Vertica](https://www.g2.com/compare/hypertable-vs-rocket-vertica) **Compare Rocket Vertica with other alternatives:** - [Rocket Vertica vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-rocket-vertica) - [Rocket Vertica vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-rocket-vertica) - [Rocket Vertica vs Snowflake](https://www.g2.com/compare/rocket-vertica-vs-snowflake) - [Rocket Vertica vs MariaDB](https://www.g2.com/compare/mariadb-vs-rocket-vertica) - [Rocket Vertica vs Hbase](https://www.g2.com/compare/hbase-vs-rocket-vertica) - [Rocket Vertica vs CrateDB](https://www.g2.com/compare/cratedb-vs-rocket-vertica) - [Rocket Vertica vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-rocket-vertica) - [Rocket Vertica vs KX](https://www.g2.com/compare/kx-kx-vs-rocket-vertica) - [Rocket Vertica vs Google Cloud BigTable](https://www.g2.com/compare/google-cloud-bigtable-vs-rocket-vertica) ### 6. [Hbase](https://www.g2.com/products/hbase/reviews) By The Apache Software Foundation **Average Rating:** 4.2/5 **Total Reviews:** 114 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. Categories in common with Hypertable: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Hypertable vs Hbase](https://www.g2.com/compare/hbase-vs-hypertable) **Compare Hbase with other alternatives:** - [Hbase vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-hbase) - [Hbase vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-hbase) - [Hbase vs Snowflake](https://www.g2.com/compare/hbase-vs-snowflake) - [Hbase vs MariaDB](https://www.g2.com/compare/hbase-vs-mariadb) - [Hbase vs Rocket Vertica](https://www.g2.com/compare/hbase-vs-rocket-vertica) - [Hbase vs CrateDB](https://www.g2.com/compare/cratedb-vs-hbase) - [Hbase vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-hbase) - [Hbase vs KX](https://www.g2.com/compare/hbase-vs-kx-kx) - [Hbase vs Google Cloud BigTable](https://www.g2.com/compare/google-cloud-bigtable-vs-hbase) ### 7. [CrateDB](https://www.g2.com/products/cratedb/reviews) By CrateDB **Average Rating:** 4.4/5 **Total Reviews:** 85 Crate.io is a distributed, document-oriented database designed to be used with traditional SQL syntax. Categories in common with Hypertable: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Hypertable vs CrateDB](https://www.g2.com/compare/cratedb-vs-hypertable) **Compare CrateDB with other alternatives:** - [CrateDB vs Google Cloud BigQuery](https://www.g2.com/compare/cratedb-vs-google-cloud-bigquery) - [CrateDB vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-cratedb) - [CrateDB vs Snowflake](https://www.g2.com/compare/cratedb-vs-snowflake) - [CrateDB vs MariaDB](https://www.g2.com/compare/cratedb-vs-mariadb) - [CrateDB vs Rocket Vertica](https://www.g2.com/compare/cratedb-vs-rocket-vertica) - [CrateDB vs Hbase](https://www.g2.com/compare/cratedb-vs-hbase) - [CrateDB vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-cratedb) - [CrateDB vs KX](https://www.g2.com/compare/cratedb-vs-kx-kx) - [CrateDB vs Google Cloud BigTable](https://www.g2.com/compare/cratedb-vs-google-cloud-bigtable) ### 8. [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews) By Microsoft **Average Rating:** 4.2/5 **Total Reviews:** 68 Azure Cosmos DB is a fully managed, globally distributed NoSQL and vector database service designed to support mission-critical applications with ultra-low latency and elastic scalability. It enables developers to build AI-powered applications and agents by providing seamless integration with AI services, allowing for efficient storage and querying of both NoSQL data and vectors. With its schema-agnostic JSON document model, Azure Cosmos DB simplifies the development process by automatically indexing all data, eliminating the need for manual schema or index management. The service offers comprehensive Service Level Agreements (SLAs), ensuring less than 10-millisecond read and write latencies and 99.999% availability, making it a reliable choice for applications requiring high performance and global reach. Key Features and Functionality: - Global Distribution: Azure Cosmos DB allows for turnkey global distribution, enabling data to be replicated across multiple regions worldwide, providing high availability and low latency access to data. - Elastic Scalability: The service offers elastic scaling of throughput and storage, allowing developers to scale resources up or down based on demand without downtime. - Multi-Model Support: It natively supports multiple data models, including document, key-value, graph, and column-family, catering to diverse application needs. - AI Integration: Built-in vector search capabilities simplify the development of AI applications by efficiently storing and querying vectors alongside NoSQL data. - Automatic Indexing: All data is automatically indexed, facilitating fast and efficient queries without the need for manual index management. - Comprehensive SLAs: Azure Cosmos DB provides industry-leading SLAs covering throughput, latency, availability, and consistency, ensuring predictable performance. Primary Value and Solutions Provided: Azure Cosmos DB addresses the challenges of building and managing globally distributed applications by offering a fully managed database service that ensures high availability, low latency, and elastic scalability. Its integration with AI services and support for multiple data models empower developers to create intelligent, responsive applications without the complexity of managing infrastructure. By automatically handling data distribution, scaling, and indexing, Azure Cosmos DB allows organizations to focus on innovation and delivering value to their users, making it an ideal solution for applications requiring real-time data access and global reach. Categories in common with Hypertable: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Hypertable vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-hypertable) **Compare Azure Cosmos DB with other alternatives:** - [Azure Cosmos DB vs Google Cloud BigQuery](https://www.g2.com/compare/azure-cosmos-db-vs-google-cloud-bigquery) - [Azure Cosmos DB vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-azure-cosmos-db) - [Azure Cosmos DB vs Snowflake](https://www.g2.com/compare/azure-cosmos-db-vs-snowflake) - [Azure Cosmos DB vs MariaDB](https://www.g2.com/compare/azure-cosmos-db-vs-mariadb) - [Azure Cosmos DB vs Rocket Vertica](https://www.g2.com/compare/azure-cosmos-db-vs-rocket-vertica) - [Azure Cosmos DB vs Hbase](https://www.g2.com/compare/azure-cosmos-db-vs-hbase) - [Azure Cosmos DB vs CrateDB](https://www.g2.com/compare/azure-cosmos-db-vs-cratedb) - [Azure Cosmos DB vs KX](https://www.g2.com/compare/azure-cosmos-db-vs-kx-kx) - [Azure Cosmos DB vs Google Cloud BigTable](https://www.g2.com/compare/azure-cosmos-db-vs-google-cloud-bigtable) ### 9. [KX](https://www.g2.com/products/kx-kx/reviews) By KX **Average Rating:** 4.6/5 **Total Reviews:** 51 KX is maker of kdb+, a time series and vector database, independently benchmarked as the fastest on the market. It can process and analyze time series, historical and vector data at unmatched speed and scale, empowering developers, data scientists, and data engineers to build high-performance data-driven applications and turbo-charge their favorite analytics tools in the cloud, on-premise, or at the edge. For more info visit www.kx.com. Categories in common with Hypertable: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Hypertable vs KX](https://www.g2.com/compare/hypertable-vs-kx-kx) **Compare KX with other alternatives:** - [KX vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-kx-kx) - [KX vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-kx-kx) - [KX vs Snowflake](https://www.g2.com/compare/kx-kx-vs-snowflake) - [KX vs MariaDB](https://www.g2.com/compare/kx-kx-vs-mariadb) - [KX vs Rocket Vertica](https://www.g2.com/compare/kx-kx-vs-rocket-vertica) - [KX vs Hbase](https://www.g2.com/compare/hbase-vs-kx-kx) - [KX vs CrateDB](https://www.g2.com/compare/cratedb-vs-kx-kx) - [KX vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-kx-kx) - [KX vs Google Cloud BigTable](https://www.g2.com/compare/google-cloud-bigtable-vs-kx-kx) ### 10. [Google Cloud BigTable](https://www.g2.com/products/google-cloud-bigtable/reviews) By Google **Average Rating:** 4.4/5 **Total Reviews:** 41 Google Cloud Bigtable is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers. Categories in common with Hypertable: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Hypertable vs Google Cloud BigTable](https://www.g2.com/compare/google-cloud-bigtable-vs-hypertable) **Compare Google Cloud BigTable with other alternatives:** - [Google Cloud BigTable vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-google-cloud-bigtable) - [Google Cloud BigTable vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigtable) - [Google Cloud BigTable vs Snowflake](https://www.g2.com/compare/google-cloud-bigtable-vs-snowflake) - [Google Cloud BigTable vs MariaDB](https://www.g2.com/compare/google-cloud-bigtable-vs-mariadb) - [Google Cloud BigTable vs Rocket Vertica](https://www.g2.com/compare/google-cloud-bigtable-vs-rocket-vertica) - [Google Cloud BigTable vs Hbase](https://www.g2.com/compare/google-cloud-bigtable-vs-hbase) - [Google Cloud BigTable vs CrateDB](https://www.g2.com/compare/cratedb-vs-google-cloud-bigtable) - [Google Cloud BigTable vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-google-cloud-bigtable) - [Google Cloud BigTable vs KX](https://www.g2.com/compare/google-cloud-bigtable-vs-kx-kx) --- ## Hypertable Alternatives FAQs ### How does Hypertable compare to Google Cloud BigQuery? According to G2 data, [Hypertable](https://www.g2.com/products/hypertable/reviews) has an average rating of 4.0/5 based on 1 review, highlighting its scalability and capability to analyze huge datasets in a distributed manner, but noting complexity in initial setup and security features as drawbacks. In contrast, [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) holds a higher average rating of 4.5/5 from 1,227 reviews, emphasizing ease of use, fast query performance, seamless integration with Google Cloud ecosystem, and serverless architecture that eliminates infrastructure management. BigQuery users consistently praise its speed, scalability, and SQL-based querying on massive datasets, with 129 mentions of ease of use and 126 mentions of speed. However, BigQuery's pricing is frequently cited as expensive and unpredictable, with 112 mentions of cost concerns. Dimension scores favor BigQuery by 0.1 to 0.5 points across usability, setup, administration, support, and business ease, reflecting broader user satisfaction and maturity. ### What are the best alternatives to Hypertable? The best alternatives to Hypertable are [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) (4.5/5 stars, 1227 reviews), [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) (4.3/5 stars, 402 reviews), [Snowflake](https://www.g2.com/products/snowflake/reviews) (4.5/5 stars, 756 reviews), and [MariaDB](https://www.g2.com/products/mariadb/reviews) (4.4/5 stars, 226 reviews). These platforms offer superior scalability, performance, and ease of use compared to Hypertable's 4.0/5 rating with 1 review. ### What features do alternatives offer that Hypertable does not? Hypertable lacks built-in machine learning capabilities, serverless architecture, seamless cloud integrations, and advanced data sharing features that are present in its alternatives. ### Which Columnar Databases tools do reviewers recommend instead of Hypertable? Reviewers recommend [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) for its serverless architecture, fast query performance on massive datasets, seamless integration with Google Cloud services, and built-in machine learning capabilities. [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) is favored for its scalability, fast data processing, and tight integration with AWS services. [Snowflake](https://www.g2.com/products/snowflake/reviews) is praised for its separation of compute and storage, ease of use, secure data sharing, and strong multi-cloud support. [MariaDB](https://www.g2.com/products/mariadb/reviews) is recommended for its open-source nature, high performance, ease of integration, and robust security features. ### Why do users choose Google Cloud BigQuery over Hypertable? Users choose [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) over Hypertable primarily for its fully managed, serverless architecture that removes the need for infrastructure management, enabling effortless scalability and fast querying of massive datasets. With over 1,200 reviews, BigQuery is praised for its intuitive SQL interface, seamless integration with other Google Cloud services (such as Looker Studio, Dataflow, and Vertex AI), and built-in machine learning capabilities, which collectively enhance analytics workflows and reduce operational overhead. The platform's ability to handle petabyte-scale data with near real-time analytics and automatic scaling is a decisive advantage. Additionally, BigQuery's extensive documentation, strong community support, and frequent updates contribute to its preference. Despite concerns about cost and a learning curve, users value the time saved on maintenance and the speed of insights, making BigQuery a compelling choice for enterprises requiring robust, scalable, and integrated data warehousing solutions according to G2 data. ## Explore Articles - [Which identity resolution platform is worth using for a mid-size ecommerce company that is tired of duplicate customer profiles making their CRM data unreliable?](https://www.g2.com/discussions/which-identity-resolution-platform-is-worth-using-for-a-mid-size-ecommerce-company-that-is-tired-of-duplicate-customer-profiles-making-their-crm-data-unreliable) - [data observability software](https://www.g2.com/discussions/looking-for-the-best-data-observability-software-in-2025) - [Is Accenture worth it for UKG consulting services?](https://www.g2.com/discussions/is-accenture-worth-it-for-ukg-consulting-services) - [What are the most trusted field sales software by sales managers at retail based on user reviews?](https://www.g2.com/discussions/what-are-the-most-trusted-field-sales-software-by-sales-managers-at-retail-based-on-user-reviews) - [What is the best email marketing platform for ecommerce business?](https://www.g2.com/discussions/what-is-the-best-email-marketing-platform-for-ecommerce-business) - [Best sales enablement software for startups](https://www.g2.com/discussions/what-s-the-best-sales-enablement-software-for-startups) ## Spotlight Categories - [Integration Platform as a Service (iPaaS) Solutions](https://www.g2.com/categories/ipaas) - [Network Monitoring Software](https://www.g2.com/categories/network-monitoring) - [Digital Experience Platforms (DXP)](https://www.g2.com/categories/digital-experience-platforms-dxp)