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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    HBase

    Score7.3 out of 10
    N/AThe Apache HBase project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable.N/A

    Google Cloud Datastore

    Score8.6 out of 10
    N/AGoogle Cloud Datastore is a NoSQL "schemaless" database as a service, supporting diverse data types. The database is managed; Google manages sharding and replication and prices according to storage and activity.N/A
    Pricing
    HBaseGoogle Cloud Datastore
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    HBaseGoogle Cloud Datastore
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Features
    HBaseGoogle Cloud Datastore
    NoSQL Databases
    Comparison of NoSQL Databases features of Apache HBase and Google Cloud Datastore
    Feature
    Apache HBase
    7.7
    5 Ratings
    14% below category average
    Google Cloud Datastore
    10.0
    2 Ratings
    12% above category average
    Performance7.15 Ratings10.02 Ratings
    Availability7.85 Ratings10.02 Ratings
    Concurrency7.05 Ratings10.02 Ratings
    Security7.85 Ratings10.02 Ratings
    Scalability8.65 Ratings10.02 Ratings
    Data model flexibility7.15 Ratings10.02 Ratings
    Deployment model flexibility8.25 Ratings9.92 Ratings
    Best Alternatives
    HBaseGoogle Cloud Datastore
    Small Businesses
    Redis Software
    Score8.3 out of 10
    Redis Software
    Score8.3 out of 10
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    IBM Cloudant
    Score7.4 out of 10
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    IBM Cloudant
    Score7.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    HBaseGoogle Cloud Datastore
    Likelihood to Recommend
    7.7
    (10 ratings)
    9.9
    (2 ratings)
    Likelihood to Renew
    7.9
    (10 ratings)
    10.0
    (2 ratings)
    User Testimonials
    HBaseGoogle Cloud Datastore
    Likelihood to Recommend
    Apache
    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.
    Incentivized
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    Google
    If you want a serverless NoSQL database, no matter it is for personal use, or for company use, Google Cloud Datastore should be on top of your list, especially if you are using Google Cloud as your primary cloud platform. It integrates with all services in the Google Cloud platform.
    Incentivized
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    Pros
    Apache
    • 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.
    Incentivized
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    Google
    • Automatically handles shards and replication.
    • Schema-less & NoSQL.
    • Fully managed.
    Incentivized
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    Cons
    Apache
    • 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.
    Incentivized
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    Google
    • It is hosted on GCP, which makes it harder if your company have multi-cloud strategy.
    • When you want to migrate to other cloud providers, there can be a caveat.
    Incentivized
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    Likelihood to Renew
    Apache
    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.
    Incentivized
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    Google
    For the amount of use we're getting from Google Cloud Datastore, switching to any other platform would have more cost with little gain. Not having to manage and maintain Google Cloud Datastore for over 4 years has allowed our teams to work on other things. The price is so low that almost any other option for our needs would be far more expensive in time and money.
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    Alternatives Considered
    Apache
    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.
    Incentivized
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    Google
    We selected Google Cloud Datastore as one of our candidates for our NoSQL data is because it is provided by Google Cloud, which fits our needs. Most of our infrastructure is on Google Cloud, so when we think about the NoSQL database, the first thing we thought about is Google Cloud Datastore. And it proves itself.
    Incentivized
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    Return on Investment
    Apache
    • 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.
    Incentivized
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    Google
    • Simple billing part of Google Cloud Platform
    • No time spent configuring and maintaining Google Cloud Datastore.
    • Very good uptime for our applications.
    Incentivized
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