# Top 10 Apache Parquet Alternatives & Competitors **Average Rating:** 4.3/5 **Total Number of Reviews:** 27 Apache Parquet is not the only option for Columnar Databases. Explore other competing options and alternatives. Other important factors to consider when researching alternatives to Apache Parquet include analytics and performance. The best overall Apache Parquet alternative is ClickHouse. Other similar apps like Apache Parquet are Azure Cosmos DB, Snowflake, Google Cloud BigQuery, and MariaDB. Apache Parquet 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 Apache Parquet - [ClickHouse](https://www.g2.com/products/clickhouse/reviews) - [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - [MariaDB](https://www.g2.com/products/mariadb/reviews) - [Google Cloud BigTable](https://www.g2.com/products/google-cloud-bigtable/reviews) - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) - [Rocket Vertica](https://www.g2.com/products/rocket-vertica/reviews) - [Azure Table Storage](https://www.g2.com/products/azure-table-storage/reviews) - [Druid](https://www.g2.com/products/druid/reviews) ## Top 10 Alternatives to Apache Parquet Recently Reviewed By G2 Community Browse options below. Based on reviewer data, you can see how Apache Parquet stacks up to the competition, check reviews from current & previous users in industries like Computer Software, Financial Services, and Entertainment, and find the best product for your business. ### 1. [ClickHouse](https://www.g2.com/products/clickhouse/reviews) By ClickHouse **Average Rating:** 4.5/5 **Total Reviews:** 23 ClickHouse is a fast open-source OLAP database management system It is column-oriented and allows to generate analytical reports using SQL queries in real-time. Reviewers say compared to Apache Parquet, ClickHouse is: - Easier to set up - More usable - Better at meeting requirements Categories in common with Apache Parquet: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Apache Parquet vs ClickHouse](https://www.g2.com/compare/apache-parquet-vs-clickhouse) **Compare ClickHouse with other alternatives:** - [ClickHouse vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-clickhouse) - [ClickHouse vs Snowflake](https://www.g2.com/compare/clickhouse-vs-snowflake) - [ClickHouse vs Google Cloud BigQuery](https://www.g2.com/compare/clickhouse-vs-google-cloud-bigquery) - [ClickHouse vs MariaDB](https://www.g2.com/compare/clickhouse-vs-mariadb) - [ClickHouse vs Google Cloud BigTable](https://www.g2.com/compare/clickhouse-vs-google-cloud-bigtable) - [ClickHouse vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-clickhouse) - [ClickHouse vs Rocket Vertica](https://www.g2.com/compare/clickhouse-vs-rocket-vertica) - [ClickHouse vs Azure Table Storage](https://www.g2.com/compare/azure-table-storage-vs-clickhouse) - [ClickHouse vs Druid](https://www.g2.com/compare/clickhouse-vs-druid) ### 2. [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. Reviewers say compared to Apache Parquet, Azure Cosmos DB is: - More expensive - Easier to do business with - Easier to set up Categories in common with Apache Parquet: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Apache Parquet vs Azure Cosmos DB](https://www.g2.com/compare/apache-parquet-vs-azure-cosmos-db) **Compare Azure Cosmos DB with other alternatives:** - [Azure Cosmos DB vs ClickHouse](https://www.g2.com/compare/azure-cosmos-db-vs-clickhouse) - [Azure Cosmos DB vs Snowflake](https://www.g2.com/compare/azure-cosmos-db-vs-snowflake) - [Azure Cosmos DB vs Google Cloud BigQuery](https://www.g2.com/compare/azure-cosmos-db-vs-google-cloud-bigquery) - [Azure Cosmos DB vs MariaDB](https://www.g2.com/compare/azure-cosmos-db-vs-mariadb) - [Azure Cosmos DB vs Google Cloud BigTable](https://www.g2.com/compare/azure-cosmos-db-vs-google-cloud-bigtable) - [Azure Cosmos DB vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-azure-cosmos-db) - [Azure Cosmos DB vs Rocket Vertica](https://www.g2.com/compare/azure-cosmos-db-vs-rocket-vertica) - [Azure Cosmos DB vs Azure Table Storage](https://www.g2.com/compare/azure-cosmos-db-vs-azure-table-storage) - [Azure Cosmos DB vs Druid](https://www.g2.com/compare/azure-cosmos-db-vs-druid) ### 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. Reviewers say compared to Apache Parquet, Snowflake is: - Easier to set up - More expensive - Easier to do business with Categories in common with Apache Parquet: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Apache Parquet vs Snowflake](https://www.g2.com/compare/apache-parquet-vs-snowflake) **Compare Snowflake with other alternatives:** - [Snowflake vs ClickHouse](https://www.g2.com/compare/clickhouse-vs-snowflake) - [Snowflake vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-snowflake) - [Snowflake vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake) - [Snowflake vs MariaDB](https://www.g2.com/compare/mariadb-vs-snowflake) - [Snowflake vs Google Cloud BigTable](https://www.g2.com/compare/google-cloud-bigtable-vs-snowflake) - [Snowflake vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-snowflake) - [Snowflake vs Rocket Vertica](https://www.g2.com/compare/rocket-vertica-vs-snowflake) - [Snowflake vs Azure Table Storage](https://www.g2.com/compare/azure-table-storage-vs-snowflake) - [Snowflake vs Druid](https://www.g2.com/compare/druid-vs-snowflake) ### 4. [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. Reviewers say compared to Apache Parquet, Google Cloud BigQuery is: - More expensive - Easier to set up - Easier to do business with Categories in common with Apache Parquet: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Apache Parquet vs Google Cloud BigQuery](https://www.g2.com/compare/apache-parquet-vs-google-cloud-bigquery) **Compare Google Cloud BigQuery with other alternatives:** - [Google Cloud BigQuery vs ClickHouse](https://www.g2.com/compare/clickhouse-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 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 Google Cloud BigTable](https://www.g2.com/compare/google-cloud-bigquery-vs-google-cloud-bigtable) - [Google Cloud BigQuery vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigquery) - [Google Cloud BigQuery vs Rocket Vertica](https://www.g2.com/compare/google-cloud-bigquery-vs-rocket-vertica) - [Google Cloud BigQuery vs Azure Table Storage](https://www.g2.com/compare/azure-table-storage-vs-google-cloud-bigquery) - [Google Cloud BigQuery vs Druid](https://www.g2.com/compare/druid-vs-google-cloud-bigquery) ### 5. [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. Reviewers say compared to Apache Parquet, MariaDB is: - Easier to set up - More usable - Easier to admin Categories in common with Apache Parquet: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Apache Parquet vs MariaDB](https://www.g2.com/compare/apache-parquet-vs-mariadb) **Compare MariaDB with other alternatives:** - [MariaDB vs ClickHouse](https://www.g2.com/compare/clickhouse-vs-mariadb) - [MariaDB vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-mariadb) - [MariaDB vs Snowflake](https://www.g2.com/compare/mariadb-vs-snowflake) - [MariaDB vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-mariadb) - [MariaDB vs Google Cloud BigTable](https://www.g2.com/compare/google-cloud-bigtable-vs-mariadb) - [MariaDB vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-mariadb) - [MariaDB vs Rocket Vertica](https://www.g2.com/compare/mariadb-vs-rocket-vertica) - [MariaDB vs Azure Table Storage](https://www.g2.com/compare/azure-table-storage-vs-mariadb) - [MariaDB vs Druid](https://www.g2.com/compare/druid-vs-mariadb) ### 6. [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. Reviewers say compared to Apache Parquet, Google Cloud BigTable is: - More expensive - Easier to set up - More usable Categories in common with Apache Parquet: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Apache Parquet vs Google Cloud BigTable](https://www.g2.com/compare/apache-parquet-vs-google-cloud-bigtable) **Compare Google Cloud BigTable with other alternatives:** - [Google Cloud BigTable vs ClickHouse](https://www.g2.com/compare/clickhouse-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 Snowflake](https://www.g2.com/compare/google-cloud-bigtable-vs-snowflake) - [Google Cloud BigTable vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-google-cloud-bigtable) - [Google Cloud BigTable vs MariaDB](https://www.g2.com/compare/google-cloud-bigtable-vs-mariadb) - [Google Cloud BigTable vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigtable) - [Google Cloud BigTable vs Rocket Vertica](https://www.g2.com/compare/google-cloud-bigtable-vs-rocket-vertica) - [Google Cloud BigTable vs Azure Table Storage](https://www.g2.com/compare/azure-table-storage-vs-google-cloud-bigtable) - [Google Cloud BigTable vs Druid](https://www.g2.com/compare/druid-vs-google-cloud-bigtable) ### 7. [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. Reviewers say compared to Apache Parquet, Amazon Redshift is: - More expensive - Easier to set up - Easier to do business with Categories in common with Apache Parquet: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Apache Parquet vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-apache-parquet) **Compare Amazon Redshift with other alternatives:** - [Amazon Redshift vs ClickHouse](https://www.g2.com/compare/amazon-redshift-vs-clickhouse) - [Amazon Redshift vs Azure Cosmos DB](https://www.g2.com/compare/amazon-redshift-vs-azure-cosmos-db) - [Amazon Redshift vs Snowflake](https://www.g2.com/compare/amazon-redshift-vs-snowflake) - [Amazon Redshift vs Google Cloud BigQuery](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigquery) - [Amazon Redshift vs MariaDB](https://www.g2.com/compare/amazon-redshift-vs-mariadb) - [Amazon Redshift vs Google Cloud BigTable](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigtable) - [Amazon Redshift vs Rocket Vertica](https://www.g2.com/compare/amazon-redshift-vs-rocket-vertica) - [Amazon Redshift vs Azure Table Storage](https://www.g2.com/compare/amazon-redshift-vs-azure-table-storage) - [Amazon Redshift vs Druid](https://www.g2.com/compare/amazon-redshift-vs-druid) ### 8. [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. Reviewers say compared to Apache Parquet, Rocket Vertica is: - More expensive - Easier to set up - Easier to do business with Categories in common with Apache Parquet: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Apache Parquet vs Rocket Vertica](https://www.g2.com/compare/apache-parquet-vs-rocket-vertica) **Compare Rocket Vertica with other alternatives:** - [Rocket Vertica vs ClickHouse](https://www.g2.com/compare/clickhouse-vs-rocket-vertica) - [Rocket Vertica vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-rocket-vertica) - [Rocket Vertica vs Snowflake](https://www.g2.com/compare/rocket-vertica-vs-snowflake) - [Rocket Vertica vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-rocket-vertica) - [Rocket Vertica vs MariaDB](https://www.g2.com/compare/mariadb-vs-rocket-vertica) - [Rocket Vertica vs Google Cloud BigTable](https://www.g2.com/compare/google-cloud-bigtable-vs-rocket-vertica) - [Rocket Vertica vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-rocket-vertica) - [Rocket Vertica vs Azure Table Storage](https://www.g2.com/compare/azure-table-storage-vs-rocket-vertica) - [Rocket Vertica vs Druid](https://www.g2.com/compare/druid-vs-rocket-vertica) ### 9. [Azure Table Storage](https://www.g2.com/products/azure-table-storage/reviews) By Microsoft **Average Rating:** 4.1/5 **Total Reviews:** 17 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. Reviewers say compared to Apache Parquet, Azure Table Storage is: - More expensive - Easier to set up - More usable Categories in common with Apache Parquet: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Apache Parquet vs Azure Table Storage](https://www.g2.com/compare/apache-parquet-vs-azure-table-storage) **Compare Azure Table Storage with other alternatives:** - [Azure Table Storage vs ClickHouse](https://www.g2.com/compare/azure-table-storage-vs-clickhouse) - [Azure Table Storage vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-azure-table-storage) - [Azure Table Storage vs Snowflake](https://www.g2.com/compare/azure-table-storage-vs-snowflake) - [Azure Table Storage vs Google Cloud BigQuery](https://www.g2.com/compare/azure-table-storage-vs-google-cloud-bigquery) - [Azure Table Storage vs MariaDB](https://www.g2.com/compare/azure-table-storage-vs-mariadb) - [Azure Table Storage vs Google Cloud BigTable](https://www.g2.com/compare/azure-table-storage-vs-google-cloud-bigtable) - [Azure Table Storage vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-azure-table-storage) - [Azure Table Storage vs Rocket Vertica](https://www.g2.com/compare/azure-table-storage-vs-rocket-vertica) - [Azure Table Storage vs Druid](https://www.g2.com/compare/azure-table-storage-vs-druid) ### 10. [Druid](https://www.g2.com/products/druid/reviews) By Druid **Average Rating:** 4.3/5 **Total Reviews:** 31 Open source streaming data store for interactive analytics at scale. Reviewers say compared to Apache Parquet, Druid is: - More usable - More expensive - Easier to do business with Categories in common with Apache Parquet: [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Compare:** [Apache Parquet vs Druid](https://www.g2.com/compare/apache-parquet-vs-druid) **Compare Druid with other alternatives:** - [Druid vs ClickHouse](https://www.g2.com/compare/clickhouse-vs-druid) - [Druid vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-druid) - [Druid vs Snowflake](https://www.g2.com/compare/druid-vs-snowflake) - [Druid vs Google Cloud BigQuery](https://www.g2.com/compare/druid-vs-google-cloud-bigquery) - [Druid vs MariaDB](https://www.g2.com/compare/druid-vs-mariadb) - [Druid vs Google Cloud BigTable](https://www.g2.com/compare/druid-vs-google-cloud-bigtable) - [Druid vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-druid) - [Druid vs Rocket Vertica](https://www.g2.com/compare/druid-vs-rocket-vertica) - [Druid vs Azure Table Storage](https://www.g2.com/compare/azure-table-storage-vs-druid) ## Explore Articles - [Most efficient ID verification software for ecommerce sites](https://www.g2.com/discussions/most-efficient-id-verification-software-for-ecommerce-sites) - [Leading sales training platforms for software firms](https://www.g2.com/discussions/leading-sales-training-platforms-for-software-firms) - [Which automotive digital retailing software uses AI to summarise calls and texts so managers can coach sales reps without reviewing every interaction manually?](https://www.g2.com/discussions/which-automotive-digital-retailing-software-uses-ai-to-summarise-calls-and-texts-so-managers-can-coach-sales-reps-without-reviewing-every-interaction-manually) - [Best Restaurant POS Systems](https://www.g2.com/discussions/best-restaurant-pos-systems-in-2025) - [What is the most cost-effective log monitoring tool for SMBs?](https://www.g2.com/discussions/what-is-the-most-cost-effective-log-monitoring-tool-for-smbs) - [Contrast Security vs Imperva Runtime Application Self-Protection (RASP) for an AppSec team: which is worth adding to an existing stack?](https://www.g2.com/discussions/contrast-security-vs-imperva-runtime-application-self-protection-rasp-for-an-appsec-team-which-is-worth-adding-to-an-existing-stack) ## Spotlight Categories - [Sales Compensation Software](https://www.g2.com/categories/sales-compensation) - [Security Awareness Training Software](https://www.g2.com/categories/security-awareness-training) - [Outbound Call Tracking Software](https://www.g2.com/categories/outbound-call-tracking)