TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    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

    Azure Cosmos DB

    Score9.1 out of 10
    N/AMicrosoft Azure Cosmos DB is Microsoft's Big Data analysis platform. It is a NoSQL database service and is a replacement for the earlier DocumentDB NoSQL database.N/A
    Pricing
    HBaseAzure Cosmos DB
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    HBaseAzure Cosmos DB
    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
    Community Pulse
    HBaseAzure Cosmos DB
    Considered Both Products
    Apache
    Chose 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 …
    Incentivized
    Microsoft
    Chose Azure Cosmos DB
    Azure Cosmos DB has the benefit of having multi-master key tenancy compared to Redis and Mongo. Reads are just as fast, if not faster than Mongo. However, the distribution of writes (i.e. ACID transactions) isn't as high as Google Cloud Spanner or CouchDB. Azure Cosmos DB …
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    Best Alternatives
    HBaseAzure Cosmos DB
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    Azure Cosmos DB
    Score9.1 out of 10
    HBase
    Score7.3 out of 10
    Enterprises
    Cassandra
    Score9 out of 10
    Cassandra
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    HBaseAzure Cosmos DB
    Likelihood to Recommend
    7.7
    (10 ratings)
    10.0
    (7 ratings)
    Likelihood to Renew
    7.9
    (10 ratings)
    7.6
    (4 ratings)
    Usability
    -
    (0 ratings)
    8.8
    (2 ratings)
    Support Rating
    -
    (0 ratings)
    9.2
    (2 ratings)
    User Testimonials
    HBaseAzure Cosmos DB
    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
    Read full review
    Microsoft
    Like any NoSQL database, whether it's MongoDB or not, it's best suited for unstructured data. It's also well suited for storing raw data before processing it and performing any type of ETL on the data.
    Incentivized
    Read full review
    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
    Read full review
    Microsoft
    • Scalable Instantly and automatically serverless database for any large scale business.
    • Quick access and response to data queries due to high speed in reading and writing data
    • Create a powerful digital experience for your customers with real-time offers and agile access to DB with super-fast analysis and comparison for best recommendation
    Incentivized
    Read full review
    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
    Read full review
    Microsoft
    • Expensive, so be careful of the use case.
    • We had a thought time migrating from traditional DBs to Cosmos. Azure should provide a seamless platform for the migration of data from on-premises to cloud.
    Incentivized
    Read full review
    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
    Read full review
    Microsoft
    It's efficient, easy to scale, and works. We do have to do a bit of administration, but less now than when we started with this a couple of years ago. Microsoft continues to improve its self-management capability.
    Incentivized
    Read full review
    Usability
    Apache
    No answers on this topic
    Microsoft
    It has very good compatibility and adaptability with other APIs and developers can safely create new apps because it is compatible with various tools and can be easily managed and run under the cloud, and in terms of security, it is one of the best of its kind, which is very powerful and excellent.
    Incentivized
    Read full review
    Support Rating
    Apache
    No answers on this topic
    Microsoft
    Microsoft is the best when it comes to after-sales support. They have a well-structured training and knowledge base portal that anyone can use. They are usually quick to respond to cases and are on point for on-call support. I have no complaints from a support standpoint. Pretty happy with the support.
    Incentivized
    Read full review
    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
    Read full review
    Microsoft
    Cosmos DB is unique in the industry as a true multi-model, cloud-native database engine that comes with solutions for geo-redundancy, multi-master writes, (globally!) low latency, and cost-effective hosting built in. I've yet to see anything else that even comes close to the power that Cosmos DB packs into its solution. The simplicity and tooling support are nice bonus features as well.
    Incentivized
    Read full review
    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
    Read full review
    Microsoft
    • It's made managing raw data much easier
    • It provides a way to maintain raw data at a low cost
    • It's easy to massage the data
    Incentivized
    Read full review
    ScreenShots