Likelihood to Recommend 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.
Read full review TV is well suited for high speed, which is a great for large tables. The workload functionality is very good when in Viewpoint. The BAR functionality could use a little work. QueryGrid is very useful as well. The client handlers are still a work in progress, as I keep hearing that they continue to fail. There are also many restarts on the systems as well.
Read full review Pros 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. Read full review 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 Read full review Cons 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. Read full review 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 Last but not least the UI is pretty outdated and needs a revamp.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. Read full review Likelihood to Renew 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.
Read full review Teradata is a mature RDBMS system that expands its functionality towards the current cloud capabilities like object storage and flexible compute scale.
Read full review Usability It has helped our project to save time, effort and give accurate results in the quickest possible time. The diagnostics feature is also outstanding giving us a detailed report of the error which occurred, when it occurred and the likely cause and resolution of the same as well. The support of SQL is inherited which makes it easy to work on it because you don't need to learn any new language for this.
Read full review Support Rating 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.
Read full review Alternatives Considered 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.
Read full review 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
Read full review Return on Investment 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. Read full review Saving time and cost through its stable integration tools which helps import and export a huge amount of different data. Providing analytics for the different data is easy and quick. Securing all the data processes across the entire company. Great Cloud solution for effective data quality management. Read full review ScreenShots Teradata Vantage Screenshots