What users are saying about
32 Ratings
32 Ratings
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Score 7.5 out of 100
4 Ratings
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Score 8.5 out of 100

Feature Set Ratings

    NoSQL Databases

    7.7

    HBase

    77%

    Teradata Aster Database

    Feature Set Not Supported
    N/A
    Apache HBase ranks higher in 7/7 features

    Performance

    7.1
    71%
    5 Ratings
    N/A
    0 Ratings

    Availability

    7.8
    78%
    5 Ratings
    N/A
    0 Ratings

    Concurrency

    7.0
    70%
    5 Ratings
    N/A
    0 Ratings

    Security

    7.8
    78%
    5 Ratings
    N/A
    0 Ratings

    Scalability

    8.6
    86%
    5 Ratings
    N/A
    0 Ratings

    Data model flexibility

    7.1
    71%
    5 Ratings
    N/A
    0 Ratings

    Deployment model flexibility

    8.2
    82%
    5 Ratings
    N/A
    0 Ratings

    Attribute Ratings

    • Apache HBase is rated higher in 1 area: Likelihood to Recommend

    Likelihood to Recommend

    7.7

    HBase

    77%
    10 Ratings
    7.0

    Teradata Aster Database

    70%
    1 Rating

    Likelihood to Renew

    7.9

    HBase

    79%
    10 Ratings

    Teradata Aster Database

    N/A
    0 Ratings

    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

    Teradata Aster Database

    Teradata Aster Database integrates seamlessly with Hadoop's Big Data Stack and the analytic and visualization power of MapReduce, R, Graph, and SQL enables data scientist to deliver insights and reports and timely manner. However, without pre-existing Hadoop, the deployment of this solution will take more time and possibly will incur additional costs.
    Anonymous | TrustRadius Reviewer

    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

    Teradata Aster Database

    • Excellent performance compared to our legacy system.
    • Superb analytics for multi-structured data sources and types.
    • Multiple analytic engines and compatibility with HDFS are main advantages.
    Anonymous | 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

    Teradata Aster Database

    • Cost is one of the main concerns if deploying the solution from a scratch
    Anonymous | TrustRadius Reviewer

    Pricing Details

    HBase

    General

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

    Starting Price

    Teradata Aster Database

    General

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

    Starting Price

    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

    Teradata Aster Database

    No score
    No answers yet
    No answers on this topic

    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

    Teradata Aster Database

    Compared to HBase, Teradata Aster Database has stronger analytic and visualization capabilities. The Terada Aster Database also more flexible in term of interoperability with other systems, and another strong aspect of Teradata Aster Databases, compared to its competitors, is its near-linear scalability, centralized streamlined data management and advance workload management platform
    Anonymous | 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

    Teradata Aster Database

    • Teradata Aster Database has a huge impact in analyzing our Big Data to gain insight
    • The interoperability with Hadoop has greatly reduce the deployment time
    Anonymous | TrustRadius Reviewer

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