Top 10 Apache Parquet Alternatives & Competitors

Top 10 Alternatives to Apache Parquet Recently Reviewed By G2 Community

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Azure Cosmos DB
By Microsoft
4.2/5
(68)
Product Description
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.
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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

ClickHouse
By ClickHouse
4.5/5
(23)
Product Description
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.
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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

Google Cloud BigQuery
By Google
4.5/5
(1,236)
Product Description
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.
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Reviewers say compared to Apache Parquet, Google Cloud BigQuery is:
Easier to set up
More expensive
Easier to do business with
Categories in common with Apache Parquet:
Columnar Databases

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Snowflake
By Snowflake, Inc.
4.6/5
(734)
Product Description
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.
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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

Google Cloud BigTable
By Google
4.4/5
(41)
Product Description
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.
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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

Amazon Redshift
By Amazon Web Services (AWS)
4.3/5
(401)
Product Description
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.
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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

OpenText Vertica
By OpenText
4.3/5
(216)
Product Description
Vertica offers a software-based analytics platform designed to help organizations of all sizes monetize data in real time and at massive scale.
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Reviewers say compared to Apache Parquet, OpenText Vertica is:
More expensive
Easier to set up
Easier to do business with
Categories in common with Apache Parquet:
Columnar Databases

Azure Table Storage
By Microsoft
4.3/5
(16)
Product Description
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.
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Reviewers say compared to Apache Parquet, Azure Table Storage is:
Easier to set up
More expensive
Easier to do business with
Categories in common with Apache Parquet:
Columnar Databases

Druid
By Druid
4.3/5
(31)
Product Description
Open source streaming data store for interactive analytics at scale.
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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