Top 10 Apache HBase Alternatives

3.6 out of 5

4 reviews
75% willing to recommend

Top Apache HBase Competitors

Discover the top alternatives and competitors to Apache HBase based on the interviews we conducted with its users. The top alternative solutions include Redis, MongoDB Enterprise Advanced, and Microsoft Azure Cosmos DB. The alternatives are sorted based on how often peers compare the solutions. Apache HBase surpasses its competitors by offering real-time read/write access, robust scalability, and seamless integration with Hadoop, ensuring efficient management of large datasets and supporting distributed and non-relational database capabilities for optimal performance in big data environments.

Apache Alternatives Report

Learn what solutions real users are comparing with Apache, and compare use cases, valuable features, and pricing.

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Redis

4.4 out of 5

Redis

4.4 out of 5

Apache HBase appeals to those seeking scalability for large volumes of data and complex queries. In comparison, Redis is ideal for fast, in-memory data retrieval in real-time applications. Apache HBase offers cost efficiency, while Redis provides rapid ROI through performance and easy deployment.

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Pricing

Apache HBase typically has a higher setup cost, while Redis boasts a more cost-effective and straightforward setup, making Redis a more affordable option for initial deployment.

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Pricing

Apache HBase typically has a higher setup cost, while Redis boasts a more cost-effective and straightforward setup, making Redis a more affordable option for initial deployment.

MongoDB Enterprise Advanced

4.1 out of 5

MongoDB Enterprise Advanced

4.1 out of 5

MongoDB Enterprise Advanced is favored for its robust security features and developer-friendly analytics. In comparison, Apache HBase is preferred for its strong read/write performance and seamless Hadoop integration, catering to those needing extensive scalability and fast data access across distributed environments.

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Pricing

MongoDB Enterprise Advanced has a setup cost associated with its extensive features and support, while Apache HBase typically offers a lower cost option due to its open-source nature, appealing to cost-conscious implementations without additional enterprise-level features.

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Microsoft Azure Cosmos DB

4.1 out of 5

Microsoft Azure Cosmos DB

4.1 out of 5

Apache HBase offers scalability and cost advantages with Hadoop integration for read-heavy analytics. In comparison, Microsoft Azure Cosmos DB provides a multi-model database with global distribution and low latency, ideal for diverse applications requiring seamless scaling and robust global performance.

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Pricing

Apache HBase offers a low initial setup cost ideal for budget-conscious users, while Microsoft Azure Cosmos DB provides a more comprehensive setup suited for enterprises willing to invest in advanced scalability and global distribution features.

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Pricing

InfluxDB

4.1 out of 5

InfluxDB

4.1 out of 5

InfluxDB is advantageous for real-time analytics with its time-series-centric design and efficient performance. In comparison, Apache HBase offers scalability and integration, appealing for large-scale storage. InfluxDB suits time-sensitive needs, while HBase supports extensive, consistent data management and integration within Hadoop environments.

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Pricing

InfluxDB offers a lower setup cost, while Apache HBase requires a more substantial initial investment.

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Pricing

InfluxDB offers a lower setup cost, while Apache HBase requires a more substantial initial investment.

ScyllaDB

3.9 out of 5

ScyllaDB

3.9 out of 5

Apache HBase excels in scalability and its integration with Hadoop, making it ideal for growing data needs. In comparison, ScyllaDB focuses on low-latency performance with high throughput, offering significant ROI through efficient resource use and rapid data retrieval capabilities.

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Pricing

Apache HBase requires moderate setup costs, while ScyllaDB offers a more cost-effective initial setup.

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Pricing

Apache HBase requires moderate setup costs, while ScyllaDB offers a more cost-effective initial setup.

Couchbase Enterprise

4.1 out of 5

Couchbase Enterprise

4.1 out of 5

Apache HBase is ideal for scalability and handling large datasets with consistency. In comparison, Couchbase Enterprise offers flexibility, real-time data processing, and cloud-native capabilities. Apache HBase suits organizations using Hadoop, while Couchbase Enterprise supports those needing advanced features and responsive support.

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Pricing

Apache HBase requires significant setup costs, potentially affecting budget-conscious users, whereas Couchbase Enterprise offers a more cost-efficient initial setup, making it attractive for companies looking for a robust solution with minimized upfront expenses.

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Cloudera Distribution for Hadoop

4.0 out of 5

Cloudera Distribution for Hadoop

4.0 out of 5

Cloudera Distribution for Hadoop offers extensive enterprise features, appealing to businesses needing comprehensive data management tools. In comparison, Apache HBase provides efficient real-time data processing, appealing to organizations prioritizing scalability and speed, making it cost-effective for handling large-scale data operations.

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Pricing

Cloudera Distribution for Hadoop has a straightforward and predictable setup cost, while Apache HBase offers a more flexible pricing structure for initial setup, highlighting a significant difference in cost predictability between the two.

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Neo4j Graph Database

4.3 out of 5

Neo4j Graph Database

4.3 out of 5

Apache HBase provides scalable distributed storage ideal for large structured datasets while integrating with Hadoop ecosystems. In comparison, Neo4j specializes in graph theory for managing interconnected data, offering enhanced relationship analysis. HBase offers lower costs; Neo4j excels in advanced data handling.

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Pricing

Apache HBase typically involves lower initial setup costs, while Neo4j Graph Database often requires higher investment due to its advanced graph analytics features.

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Pricing

Apache HBase typically involves lower initial setup costs, while Neo4j Graph Database often requires higher investment due to its advanced graph analytics features.

Aerospike Database 7

4.0 out of 5

Aerospike Database 7

4.0 out of 5

Aerospike is an enterprise-class, NoSQL database solution for real-time operational applications that delivers predictable performance at scale, superior uptime, and high availability at the lowest Total Cost of Ownership compared to first-generation NoSQL and relational databases.

Pricing

We use around half a TB of data and spend approximately $36,000 to $40,000 USD per year on Aerospike.

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Pricing

We use around half a TB of data and spend approximately $36,000 to $40,000 USD per year on Aerospike.

Oracle NoSQL

4.0 out of 5

Oracle NoSQL

4.0 out of 5

Apache HBase offers horizontal scalability and strong consistency, ideal for integrating with Hadoop. In comparison, Oracle NoSQL provides ACID transactions, dynamic data modeling, and security features, appealing to enterprises requiring versatile data handling and professional support despite higher initial costs.

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Pricing

Apache HBase typically involves lower setup costs compared to Oracle NoSQL, which often requires significant initial investment due to its complex infrastructure and advanced capabilities.

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Pricing

Apache HBase typically involves lower setup costs compared to Oracle NoSQL, which often requires significant initial investment due to its complex infrastructure and advanced capabilities.

Related categories

NoSQL Databases

Managed NoSQL Databases

In-Memory Data Store Services