Top 10 Hbase Alternatives & Competitors

Top 10 Alternatives to Hbase Recently Reviewed By G2 Community

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Snowflake
By Snowflake, Inc.
4.6/5
(678)
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 Hbase, Snowflake is:
Easier to admin
Easier to set up
More expensive
Categories in common with Hbase:
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 Hbase, Google Cloud BigTable is:
More expensive
Easier to set up
More usable
Categories in common with Hbase:
Wide Column Database
Columnar Databases

Google Cloud BigQuery
By Google
4.5/5
(1,208)
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 Hbase, Google Cloud BigQuery is:
Easier to admin
Easier to set up
More expensive
Categories in common with Hbase:
Columnar Databases
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ScyllaDB
By ScyllaDB
4.5/5
(363)
Product Description
Manage terabytes to petabytes of digital information with millions of read/write operations and msec P99 response. Our high availability architecture takes full advantage of modern infrastructure and networking capabilities. This translates to dramatically higher throughput and lower latency--eliminating barriers to scale.
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Reviewers say compared to Hbase, ScyllaDB is:
More expensive
Easier to admin
More usable
Categories in common with Hbase:
Wide Column Database

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 Hbase, OpenText Vertica is:
Slower to reach roi
More expensive
Easier to admin
Categories in common with Hbase:
Columnar Databases

MariaDB
By MariaDB
4.4/5
(224)
Product Description
MariaDB is a high performance, open source database that helps the world's busiest websites deliver more content, faster.
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Reviewers say compared to Hbase, MariaDB is:
Easier to set up
Easier to admin
More usable
Categories in common with Hbase:
Columnar Databases

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 Hbase, Azure Cosmos DB is:
More expensive
Easier to admin
Better at support
Categories in common with Hbase:
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 Hbase, Azure Table Storage is:
Easier to admin
Easier to set up
More expensive
Categories in common with Hbase:
Wide Column Database
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 Hbase, Druid is:
More usable
Better at support
Better at meeting requirements
Categories in common with Hbase:
Columnar Databases

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