What users are saying about
3 Ratings
81 Ratings
3 Ratings
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Score 8.8 out of 100
81 Ratings
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Score 7.9 out of 100

Likelihood to Recommend

Actian Matrix

Actian matrix is not good for small data sets. If you have a limited data pool, or do not plan on having multiple users/clients accessing a data source, stick with a more traditional relational database model - Access for the truly small user base, or a DB2 or Oracle back end if your going to have multiple users, and moderate sized data. Actian is for LARGE data sets (Big Data, in the industry parlance). Millions of rows of data from multiple sources with various down stream systems accessing the database. It is for data analytics of large data groups and intense data mining.
Anonymous | TrustRadius Reviewer

Apache Hive

Apache Hive shines for ad-hoc analysis and plugging into BI tools. Its SQL-like syntax allows for ease of use not for only for engineers but also for data analysts. Through our experience, there are probably more desirable tools to use if you are planning on integrating Hive into your processing pipeline.
Anonymous | TrustRadius Reviewer

Pros

Actian Matrix

  • Super fast. Aggregate query such as SUM(), Count() returns result within seconds from a table with more than billion records.
  • Excellent data compression.
  • Easy maintenance. We managed this database without having a full time DBA.
  • Support ANSI SQL and ODBC/JDBC. It's easy to connect to this database from other systems.
Dipankar Pradhan | TrustRadius Reviewer

Apache Hive

  • Hive syntax is almost like SQL, so for someone already familiar with SQL it takes almost no effort to pick up Hive.
  • To be able to run map reduce jobs using json parsing and generate dynamic partitions in parquet file format.
  • Simplifies your experience with Hadoop especially for non-technical/coding partners.
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

Cons

Actian Matrix

  • Some of the bugs were annoying and QA definitely needs improvement
  • Connectivity to Informatica and ETL providers
  • Workload management could be better like when you compare with Teradata
Anonymous | TrustRadius Reviewer

Apache Hive

  • Use Hive for analytical work loads. Write once and read many scenarios. Do not prefer updates and deletes.
  • Behind scenes Hive creates map reduce jobs. Hive performance is slow compared to Apache Spark.
  • Map reduce writes the intermediate outputs to dial whereas Spark operates in in-memory and uses DAG.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

Actian Matrix

Actian Matrix 6.0
Based on 1 answer
No answer on this topic is available.

Apache Hive

Apache Hive 10.0
Based on 1 answer
Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.
Yinghua Hu | TrustRadius Reviewer

Usability

Actian Matrix

Actian Matrix 6.0
Based on 1 answer
I wish to give higher rating for the speed and efficiency in handling the queries, but only 6 because of consistent bugs we encounter
Anonymous | TrustRadius Reviewer

Apache Hive

Apache Hive 8.5
Based on 9 answers
Thanks to its high usability Apache Hive enables users to craft extensive queries really efficiently and at the same time to how to hold response times very low. HiveQL simplicity makes it super easy to manage large datasets, what was almost an impossible task before introduction of Apache Hive data warehousing platform in our company.
Anonymous | TrustRadius Reviewer

Support Rating

Actian Matrix

Actian Matrix 8.0
Based on 1 answer
  • Faster initial response
  • Trained professionals
  • Very helpful in resolving issues
Anonymous | TrustRadius Reviewer

Apache Hive

Apache Hive 7.1
Based on 8 answers
Hive also has a community platform of its own just like other Hadoop frameworks. Most of the queries/problems are resolved in the community itself. We can just post our problems or get in touch with a specific user and get the issue resolved. Otherwise there is always the product support team for any resolution.
Partha Protim Pegu | TrustRadius Reviewer

Implementation Rating

Actian Matrix

Actian Matrix 6.0
Based on 1 answer
Leader failover setup is the toughest and lack of proper documentation is making things tough.
Anonymous | TrustRadius Reviewer

Apache Hive

No score
No answers yet
No answers on this topic

Alternatives Considered

Actian Matrix

Actian Matrix is our first big data analytics storage platform, and as I was not involved in the POC process to compare it to other products out on the market, unfortunately I cannot say if it is better than other Big Data storage options. I can say that it out performs products such as Oracle or UDB in regards to the volume of data it can easily index and handle.
Anonymous | TrustRadius Reviewer

Apache Hive

One of the major advantages of using Presto or the main reason why people use Presto (Teradata) is due to that fact it can support multiple data sources - which is lacking as in the case of Apache Hive. But still, most people who come from a Structured data-based background like the old days of Dbase, or the later ones of SQL databases like MS SQL, MySQL, PostgreSQL - may still opt to go with Apache Hive for its HiveQL ease and functionality.
Ananth Gouri | TrustRadius Reviewer

Return on Investment

Actian Matrix

  • ROI is great, less spending on full time DBA and that money could be use to add additional node.
  • Negative - Not many developers are well aware of this tool, it takes some time to learn.
Dipankar Pradhan | TrustRadius Reviewer

Apache Hive

  • It exposes the distributed calculation world (Hadoop) to the users but doesn't require the user to have the in-depth understanding of boilerplate details, it reduces the time of learning and let the data analyst can focus their efforts on the core business.
Anonymous | TrustRadius Reviewer

Pricing Details

Actian Matrix

General

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

Apache Hive

General

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

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