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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Apache Hive

    Score8 out of 10
    N/AApache Hive is database/data warehouse software that supports data querying and analysis of large datasets stored in the Hadoop distributed file system (HDFS) and other compatible systems, and is distributed under an open source license.N/A

    Teradata Vantage

    Score8.1 out of 10
    N/ATeradata Vantage is presented as a modern analytics cloud platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Supports hybrid multi-cloud environments and priced for flexibility, Vantage delivers unlimited intelligence to build the future of business. Users can deploy Vantage on public clouds (such as AWS, Azure, and GCP), hybrid multi-cloud environments, on-premises with Teradata IntelliFlex, or on commodity hardware with VMware.

    $4,800

    per month

    Pricing
    Apache HiveTeradata Vantage
    Editions & Modules
    No answers on this topic
    Teradata VantageCloud Lake
    from $4800
    per month
    Teradata VantageCloud Enterprise
    from $9000
    per month
    Offerings
    Pricing Offerings
    Apache HiveTeradata Vantage
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    Apache HiveTeradata Vantage
    Considered Both Products
    Apache
    No answer on this topic
    Teradata
    No answer on this topic
    Key User Insights
    Would buy again
    95%
    Would buy again
    18 Answers
    93%
    Would buy again
    41 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    18 Answers
    100%
    Delivers good value for the price
    32 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    19 Answers
    98%
    Happy with the feature set
    43 Answers
    Lived up to sales and marketing promises
    90%
    Lived up to sales and marketing promises
    9 Answers
    100%
    Lived up to sales and marketing promises
    26 Answers
    Implementation went as expected
    89%
    Implementation went as expected
    17 Answers
    97%
    Implementation went as expected
    33 Answers
    Best Alternatives
    Apache HiveTeradata Vantage
    Small Businesses
    No answers on this topic
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    Medium-sized Companies
    Cloudera Enterprise Data Hub
    Score9 out of 10
    Azure Synapse Analytics
    Score6.9 out of 10
    Enterprises
    Oracle Exadata
    Score10 out of 10
    Snowflake
    Score8.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Apache HiveTeradata Vantage
    Likelihood to Recommend
    8.0
    (35 ratings)
    9.5
    (46 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    7.6
    (3 ratings)
    Usability
    8.5
    (7 ratings)
    7.8
    (13 ratings)
    Support Rating
    7.0
    (6 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Apache HiveTeradata Vantage
    Likelihood to Recommend
    Apache
    Software work execution is on a large scale, it is good to use for new projects or organizational changes, data lineage mapping has always been dubious but this one has had good results. You can store and synchronize data from different departments, the storage process can be manual but it is best automated.
    Incentivized
    Read full review
    Teradata
    Teradata Vantage is well suited for large scale ETL pipelines like the ones we developed for anti money laundering risk matrices. It handles heavy joins, aggregations, and transformations on transactional data efficiently. We generate alert variables, adjust for inflation, and monitor establishments monthly with it, all integrated with Python and Control-M for a centralised automation across the company. For less appropriate, I would say that heavy resource demands might slow down experimentation for iterative work.
    Read full review
    Pros
    Apache
    • Apache Hive allows use to write expressive solutions to complex problems thanks to its SQL-like syntax.
    • Relatively easy to set up and start using.
    • Very little ramp-up to start using the actual product, documentation is very thorough, there is an active community, and the code base is constantly being improved.
    Incentivized
    Read full review
    Teradata
    • ETL (Extract - Transfor - Load)
    • NOS to send data from Teradata Vantage to S3 and from S3 to Teradata Vantage
    • Teradata GeoSpacial feature
    • Bulk reading and writing in huge tables
    • MPP capacity already mature
    • Temporal Capacity more mature that other solutions
    • TASM
    Incentivized
    Read full review
    Cons
    Apache
    • Some queries, particularly complex joins, are still quite slow and can take hours
    • Previous jobs and queries are not stored sometimes
    • Switching to Impala can sometimes be time-consuming (i.e. the system hangs, or is slow to respond).
    • Sometimes, directories and tables don't load properly which causes confusion
    Incentivized
    Read full review
    Teradata
    • Teradata is an excellent option but only for a massive amount of data warehousing or analysis. If your data is not that big then it could be a misfit for your company and cost you a lot. The cost associated is quite extensive as compared to some other alternative RDBMS systems available in the market.
    • Migration of data from Teradata to some other RDBMS systems is quite painful as the transition is not that smooth and you need to follow many steps and even if one of them fails. You need to start from the beginning almost.
    • Last but not least the UI is pretty outdated and needs a revamp. Though it is simple, it needs to be presented in a much better way and more advanced options need to bee presented on the front page itself.
    Incentivized
    Read full review
    Likelihood to Renew
    Apache
    Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.
    Read full review
    Teradata
    Teradata is a mature RDBMS system that expands its functionality towards the current cloud capabilities like object storage and flexible compute scale.
    Incentivized
    Read full review
    Usability
    Apache
    Hive is a very good big data analysis and ad-hoc query platform, which supports scaling also. The BI processes can be easily integrated with Hadoop via the Hive. It can deal with a much larger data set that traditional RDBMS can not. It is a "must-have" component of the big data domain.
    Incentivized
    Read full review
    Teradata
    Teradata Vantage allows us to create a scalable infrastructure to support our strategic initiatives. The dedicated compute power ensures reliable performance with isolated workloads and dedicated resources, optimizing workflows for faster, more efficient data transfers. The compute clusters support ETL processes and OSF’s developers and data science team with the flexibility to create self-service analytics, to spin up/down at any time, driving better performance and minimizing costs.
    Read full review
    Support Rating
    Apache
    Apache Hive is a FOSS project and its open source. We need not definitely comment on anything about the support of open source and its developer community. But, it has got tremendous developer support, awesome documentation. I would justify the fact that much support can be gathered from the community backup.
    Incentivized
    Read full review
    Teradata
    We have meetings at the beginning with the technical team to explain our requirements to them and they were really putting in a lot of effort to come up with a solution which will address all our needs. They implemented the software and also trained a few of our resources on the same too. We can get in touch with them now as well whenever we run into a roadblock but it's very less now.
    Incentivized
    Read full review
    Alternatives Considered
    Apache
    Besides Hive, I have used Google BigQuery, which is costly but have very high computation speed. Amazon Redshift is the another product, I used in my recent organisation. Both Redshift and BigQuery are managed solution whereas Hive needs to be managed
    Incentivized
    Read full review
    Teradata
    Teradata is way ahead of its competitor because of its unique features of ensuring data privacy and data never gets corrupted even in worst case scenario. In most cases, the data corruption is a major issue if left unused and it leads to important data being wiped off which in ideal case should be stored for 3 years
    Incentivized
    Read full review
    Return on Investment
    Apache
    • Apache hive is secured and scalable solution that helps in increasing the overall organization productivity.
    • Apache hive can handle and process large amount of data in a sufficient time manner.
    • It simplifies writing SQL queries, hence helping the organization as most companies use SQL for all query jobs.
    Incentivized
    Read full review
    Teradata
    • Moving to Teradata in the Cloud-enabled a level of agility that previously didn't exist in the organization. It also enabled a level of analytic competency that was not achievable using other options on the aggressive timeline that was required. We didn't want to settle for reinventing a wheel when we had a super tuned performance capable beast readily available in Teradata. Teradata lets us focus on our business rather than spending money and effort trying to design software or database foundations features on an open source or lower performance platform.
    Incentivized
    Read full review
    ScreenShots

    Teradata Vantage Screenshots

    Screenshot of Teradata VantageCloud Lake Console Financial GovernanceScreenshot of Teradata VantageCloud Lake Console Landing Page