What users are saying about
31 Ratings
5 Ratings
31 Ratings
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Score 7.9 out of 100
5 Ratings
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Score 9.2 out of 100

Likelihood to Recommend

HBase

Hbase is well suited for large organizations with millions of operations performing on tables, real-time lookup of records in a table, range queries, random reads and writes and online analytics operations.Hbase cannot be replaced for traditional databases as it cannot support all the features, CPU and memory intensive. Observed increased latency when using with MapReduce job joins.
Vinaybabu Raghunandha Naidu | TrustRadius Reviewer

Scylla

Scylla is well suited for high-throughput scenarios where keyed data must be read or written with consistently low latency. It's less appropriate for use cases requiring relational queries, secondary indexes, or more structured data sets.
Kirk Morales | TrustRadius Reviewer

Feature Rating Comparison

NoSQL Databases

HBase
7.7
Scylla
8.4
Performance
HBase
7.1
Scylla
9.1
Availability
HBase
7.8
Scylla
9.1
Concurrency
HBase
7.0
Scylla
9.1
Security
HBase
7.8
Scylla
Scalability
HBase
8.5
Scylla
Data model flexibility
HBase
7.2
Scylla
6.4
Deployment model flexibility
HBase
8.3
Scylla

Pros

HBase

  • Scalability. HBase can scale to trillions of records.
  • Fast. HBase is extremely fast to scan values or retrieve individual records by key.
  • HBase can be accessed by standard SQL via Apache Phoenix.
  • Integrated. I can easily store and retrieve data from HBase using Apache Spark.
  • It is easy to set up DR and backups.
  • Ingest. It is easy to ingest data into HBase via shell, Java, Apache NiFi, Storm, Spark, Flink, Python and other means.
Timothy Spann | TrustRadius Reviewer

Scylla

  • Low-latency reads
  • CQL has a familiar syntax
  • Parity with Cassandra
  • Practical features
Kirk Morales | TrustRadius Reviewer

Cons

HBase

  • There are very few commands in HBase.
  • Stored procedures functionality is not available so it should be implemented.
  • HBase is CPU and Memory intensive with large sequential input or output access while as Map Reduce jobs are primarily input or output bound with fixed memory. HBase integrated with Map-reduce jobs will result in random latencies.
RAVI MISHRA | TrustRadius Reviewer

Scylla

  • Better documentation for best practices (e.g., how to effectively use connection pooling)
Kirk Morales | TrustRadius Reviewer

Likelihood to Renew

HBase

HBase 7.9
Based on 10 answers
There's really not anything else out there that I've seen comparable for my use cases. HBase has never proven me wrong. Some companies align their whole business on HBase and are moving all of their infrastructure from other database engines to HBase. It's also open source and has a very collaborative community.
Anonymous | TrustRadius Reviewer

Scylla

No score
No answers yet
No answers on this topic

Usability

HBase

No score
No answers yet
No answers on this topic

Scylla

Scylla 8.2
Based on 1 answer
Very easy-to-understand syntax--uses CQL (same as Cassandra), which has many similarities to standard SQL. There are some gotchas, however, that must be known during schema development.
Kirk Morales | TrustRadius Reviewer

Support Rating

HBase

No score
No answers yet
No answers on this topic

Scylla

Scylla 9.1
Based on 1 answer
The Scylla cloud support team is incredibly responsive and proactive.
Kirk Morales | TrustRadius Reviewer

Alternatives Considered

HBase

Cassandra os great for writes. But with large datasets, depending, not as great as HBASE. Cassandra does support parquet now. HBase still performance issues. Cassandra has use cases of being used as time series. HBase, it fails miserably. GeoSpatial data, Hbase does work to an extent. HA between the two are almost the same.
Anson Abraham | TrustRadius Reviewer

Scylla

Scylla has a quick learning curve (same as Cassandra) compared to other proprietary solutions like BigTable. It supports higher throughput and lower latency that other NoSQL databases like MongoDB, which sacrifice those features for more flexibility and unique features.
Kirk Morales | TrustRadius Reviewer

Return on Investment

HBase

  • As Hbase is a noSql database, here we don't have transaction support and we cannot do many operations on the data.
  • Not having the feature of primary or a composite primary key is an issue as the architecture to be defined cannot be the same legacy type. Also the transaction concept is not applicable here.
  • The way data is printed on console is not so user-friendly. So we had to use some abstraction over HBase (eg apache phoenix) which means there is one new component to handle.
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

Scylla

  • Addresses latency requirements of our platform
Kirk Morales | TrustRadius Reviewer

Pricing Details

HBase

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Scylla

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Rating Summary

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