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HCL Actian Data Platform

HCL Actian Data Platform
Formerly Actian Avalanche

Overview

What is HCL Actian Data Platform?

The HCL Actian Data Platform (formerly Actian Avalanche) hybrid cloud data warehouse is a fully managed service that aims to deliver high performance and scale across all dimensions – data volume, concurrent user, and query complexity – at a lower…

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Pricing

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What is HCL Actian Data Platform?

The HCL Actian Data Platform (formerly Actian Avalanche) hybrid cloud data warehouse is a fully managed service that aims to deliver high performance and scale across all dimensions – data volume, concurrent user, and query complexity – at a lower cost than alternative solutions. Avalanche has…

Entry-level set up fee?

  • Setup fee optional
For the latest information on pricing, visithttps://www.actian.com/analytic…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Details

What is HCL Actian Data Platform?

The HCL Actian Data Platform (formerly Actian Avalanche) hybrid cloud data warehouse is a fully managed service that aims to deliver high performance and scale across all dimensions – data volume, concurrent user, and query complexity – at a lower cost than alternative solutions. Avalanche has built-in self-service data integration that can be deployed on-premises as well as on multiple clouds, including AWS, Azure, and Google Cloud, enabling users to migrate or offload applications and data to the cloud at one's own pace.

HCL Actian Data Platform Features

  • Supported: Fast performance with concurrency
  • Supported: Built-in self-service data ingestion and enrichment
  • Supported: Deployable on-premises, multi-cloud or hybrid
  • Supported: Enterprise-grade without the complexity
  • Supported: Flexible consumption model

HCL Actian Data Platform Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux
Mobile ApplicationNo
Supported CountriesNorth America, Europe, Asia-Pacific
Supported LanguagesEnglish

HCL Actian Data Platform Customer Size Distribution

Consumers0%
Small Businesses (1-50 employees)10%
Mid-Size Companies (51-500 employees)50%
Enterprises (more than 500 employees)40%
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Comparisons

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Reviews and Ratings

(17)

Attribute Ratings

Reviews

(1-2 of 2)
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Score 8 out of 10
Vetted Review
Verified User
Incentivized
Actian was brought into our company via an acquisition, and turned out to be a nice little surprise. It was a smaller business with a lot of homegrown tools and various different database platforms, and they were using Actian to connect everything and export it to the cloud for analytics. It came in handy as we were going through the due diligence of the acquisition, and further helped us out afterwards as we extracted key data to blend into our own data repositories and BI tools. It is compartmentalized to just within the acquisition team and those of us leveraging the exported data.
  • The support community was not as robust as you would find in a Mulesoft or Informatica environment. Given time and growth, it’s possible it will blossom, but for now it is minimal.
  • Training is always a big thing for us, and the tool was not expansive enough for us to implement our own internal training program. There was some online training, and we acquired an expert when we brought on the new company, but some additional training tools would have helped the tool grown its user base internally.
  • Not a lot to set it apart from the competition. Most of the features are available with other more established tools, but for a small company that maybe grew too quickly and needs to get its arms around many different data sources, I can see the appeal. Not really geared for larger firms.
  • As I said before, more training or greater visibility to training tools/options would be a plus. It’s easy to publish YouTube videos these days, I think they should make more of them.
  • Differentiation would help, there’s not a lot out there to drive you to buy the product if you are well informed in the market. If you know the market, you steer towards the large or trendy products. It’s a good product, but lost in the noise of the field I think.
  • Hitching the wagon to a major software brand (like Mule did to Salesforce) would help grow the user base, and thus increase the activity in the support community. More users also translates into product champions.
This is a tool geared for smaller to mid-sized business that has disparate sources of data from different platforms in varying incarnations. It’s a great ETL tool to solve the problems a scenario like that causes, but you can also achieve that with good BI Tools like Qlik Sense. So be careful that you really need an ETL tool, as opposed to an end-use tool with a built-in ETL component. If you are going ELT and have a lot of data an not a lot of corporate resources, this is a better option than Microsoft or Informatica.
We didn’t actually choose Actian, it arrived as part of an acquisition, and really served its purpose both when it was used by the smaller firm we acquired as well as afterwards when we were extracting data and folding the company into our own data and analytics culture. The included hundreds of pre-built connectors gave us lots of options, but in the end, we were just too large of a company to rely on the product and needed a big-name player to address our wide-ranging needs. Powerful for its size, but not sized enough to address big businesses.
Score 4 out of 10
Vetted Review
Verified User
Incentivized
VectorWise was tested and the quick response for SQL involving massive data was one of the attractive features. The cost was also low as compared to the commercial databases. But after implementing multiple projects in VectorWise we learned it handles parallel ETL loads and high concurrent user poorly. Most of the time with users logged in to BI tools on top of VectorWise the database became dormant and we had to restart the server. ETL loads when run for a single project would run fine, but with multiple project ETL starting in parallel, the databse would respond very poorly. After close to two years we decided to move away from VectorWise and decommissioned VectorWise. VectorWise was a bad candidate to be the enterprise data warehouse database. For a data mart or ODS it may be a suitable candidate.
  • Quick response for queries involving multi-million rows
  • Low cost
  • Concurrent user handling
  • Handling parallel ETL processes
VectorWise is suitable to be a departmental data mart database or an operational data store (ODS). It is not suitable for enterprise data warehouse database.
  • We had to move out of VectorWise after using the database for 2 years. Hence no positive impacts.
Oracle>DB2>MS SQL Server>GreenPlum>Vectorwise
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