Apache HBase vs ScyllaDB comparison

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Apache HBase

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Executive Summary

We performed a comparison between Apache HBase and ScyllaDB based on real PeerSpot user reviews.

Find out in this report how the two NoSQL Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Apache HBase vs. ScyllaDB Report (Updated: October 2024).

Apache HBase vs. ScyllaDB

October 2024

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Categories and Ranking

Apache HBase

Ranking in NoSQL Databases

12th

Average Rating

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

ScyllaDB

Ranking in NoSQL Databases

2nd

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2024, in the NoSQL Databases category, the mindshare of Apache HBase is 5.0%, down from 6.1% compared to the previous year. The mindshare of ScyllaDB is 11.0%, up from 7.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases

Featured Reviews

Sekhar Reddy B

Principal Software Engineer at Securonix

Offers real-time aggregations and easy for a beginner to learn to use this

We use it for real-time data grouping The most valuable part is the column family structure. We mainly use it for real-time aggregations. That's why we prefer it as a NoSQL database. We've seen performance issues when we have more regions. The product needs improvement in that area. So we…

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Uttam Giri

Lead Network Engineer at First Orion

Offers encryption and supports APIs, making it great for distributed systems

The best features of ScyllaDB are how it synchronizes data and its failover system. There's a unique formula to decide the number of nodes you need and the minimum required, which I find helpful. It also offers encryption and supports APIs, making it great for distributed systems and scaling databases across different regions. While it's easy to use, having prior experience helps configure it properly. There are many configurations; if you don't understand them, you might mess up the design. So, understanding your system's needs, like whether it requires more read or write operations, is crucial for setting up the correct configuration.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Apache HBase is a database used for data storage."

"The most valuable part is the column family structure."

"The best features of ScyllaDB are how it synchronizes data and its failover system. There's a unique formula to decide the number of nodes you need and the minimum required, which I find helpful. It also offers encryption and supports APIs, making it great for distributed systems and scaling databases across different regions. While it's easy to use, having prior experience helps configure it properly. There are many configurations; if you don't understand them, you might mess up the design. So, understanding your system's needs, like whether it requires more read or write operations, is crucial for setting up the correct configuration."

"The performance aspects of Scylla are good, as always... A good point about Scylla is that it can be used extensively."

"Firstly, if I update something, it's most likely to finish within milliseconds."

"I like how fast it is to query data from the ScyllaDB node!"

"The database is easy to use, fast, and accessible for applications because the API is straightforward."

"The product's most valuable features are efficiency and reliability."

"It is lightweight, and it requires less infrastructure."

"ScyllaDB allows fine-tuning of the table structure. Speed is probably the most critical factor because we perform a lot of heavy data ingestion. One of its core features is its ability to handle high volumes and maintain speed when accessing data. Additionally, high availability and partitioning are built-in features of ScyllaDB."

More ScyllaDB pros

Cons

"We've seen performance issues."

"I don't like using Apache HBase to store huge amounts of data because of many performance issues."

"If you don't have the best computing resources, then it's not easy to set up. In such cases, we have to run ScyllaDB in developer mode."

"Data export, along with how we can purchase the data periodically, needs to be improved so that the storage is within control. Then, we could optimize it even better."

"Some of the regular commands in NoSQL do not work."

"ScyllaDB needs to improve its handling of transactions."

"The product needs to add more features and improve the response time of the support team."

"It seems we have better options available. So probably don't go for ScyllaDB. The reason is, first, it's very high. It's not as straightforward as, like, Postgres or ClickHouse to set up. It requires a complex setup."

"We faced several challenges while integrating ScyllaDB into our AWS environment. One common issue was that a security port wasn’t opened on one node, preventingdata synchronization across clusters. We noticed the data wasn’t syncing correctly when we saw different record counts in other regions. After investigating, we found that the port was closed in one AWS region. Once we opened the port, the data synchronization across all nodes resumed as expected."

"From a sales pitch standpoint, it needs to deliver on promises of better ROI and compaction."

More ScyllaDB cons

Pricing and Cost Advice

Information not available

"It's free."

"It's a bit expensive."

"The paid version of ScyllaDB is not that expensive. The main advantage of the paid version is direct support from the ScyllaDB team, which can resolve issues faster—typically within a day, compared to two to three days with the free version. The paid version also offers better guidance and support, while the free version has good documentation and is more high-level. I’d rate their support team nine out of ten because of the quick responses from their community."

"It is an expensive tool compared to its competitor."

"I believe that there is a yearly licensing cost and that it's expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

16%

Manufacturing Company

11%

Government

Computer Software Company

18%

Financial Services Firm

14%

Media Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Apache HBase?

Apache HBase is a database used for data storage.

What needs improvement with Apache HBase?

We've seen performance issues when we have more regions. The product needs improvement in that area. So we experience performance issues sometimes when the load increases.

What advice do you have for others considering Apache HBase?

It's better to use AWS DynamoDB or Cassandra. I would rate it an eight out of ten. It is easy for a beginner to learn.

What do you like most about Scylla?

The performance aspects of Scylla are good, as always... A good point about Scylla is that it can be used extensively.

What is your experience regarding pricing and costs for Scylla?

The paid version of ScyllaDB is not that expensive. The main advantage of the paid version is direct support from the ScyllaDB team, which can resolve issues faster—typically within a day, compared...

What needs improvement with Scylla?

We faced several challenges while integrating ScyllaDB into our AWS environment. One common issue was that a security port wasn’t opened on one node, preventingdata synchronization across clusters....

Aerospike Database 7 vs Apache HBase

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CouchDB vs Apache HBase

Compared 6% of the time

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Compared 20% of the time

MongoDB vs ScyllaDB

Compared 18% of the time

Cassandra vs ScyllaDB

Compared 12% of the time

Aerospike Database 7 vs ScyllaDB

Compared 12% of the time

InfluxDB vs ScyllaDB

Compared 9% of the time

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Product Reports

Download Apache HBase product report

NoSQL Databases

November 2024

Download ScyllaDB product report

October 2024

Also Known As

HBase

No data available

Learn More

Apache

Overview

Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's BigTable. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.

ScyllaDB is an open-source, distributed NoSQL wide-column datastore (a highly scalable NoSQL database), known for its compatibility with Apache Cassandra, and for supporting the same protocols as Cassandra (CQL and Thrift) and the same file formats (SSTable). ScyllaDB is designed for high throughput and low latency, making it suitable for data-intensive applications. Its architecture allows it to deliver remarkable performance on a massive scale, utilizing modern multi-core servers to their fullest potential

ScyllaDB utilizes a similar architecture, data format, and query language as Apache Cassandra, providing compatibility while dramatically improving speed and scalability.

The key advantages of ScyllaDB include its rewritten C++ implementation that eliminates Cassandra's expensive Java garbage collection pauses, built-in caching for fast access to frequently used data, and shard-aware drivers for direct routing of requests. This enables it to fully leverage modern multi-core servers for massive parallelism. The community is active and the latest major release, ScyllaDB Enterprise 2023.1.0 LTS, incorporates over 5,000 code commits focused on enhancing capabilities.

ScyllaDB supports wide-column data modeling for fast read performance at scale. It includes integrated monitoring and management tools to track database health and performance. For organizations looking to boost speed and reduce costs for NoSQL workloads, ScyllaDB offers a drop-in replacement for Cassandra that delivers lower latency, higher throughput, and increased scalability with fewer nodes. Its seamless migration path makes switching from Cassandra seamless, requiring minimal code changes.

Sample Customers

Bloomberg, Wells Fargo, Apple, Capital One, NVIDIA

IBM, Investing.com, mParticle, Comcast, GE, Fanatics, Ola, CERN, adgear, Samsung