Actian Avalanche
Actian Avalanche
Actian Avalanche
Overview
What is Actian Avalanche?
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...
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Pricing
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- 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
- About
- Integrations
- Competitors
- Tech Details
What is Actian Avalanche?
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.
The vendor offers $500 in credits to those who register for a 30-day free trial to try all the Avalanche features.
The vendor offers $500 in credits to those who register for a 30-day free trial to try all the Avalanche features.
Actian Avalanche Features
- Supported: Blazing fast performance with industry-leading concurrency
- Supported: Built-in self-service data ingestion and enrichment
- Supported: Any way you want it – on-premises, multi-cloud or hybrid
- Supported: Enterprise-grade without the complexity
- Supported: Flexible consumption model
Actian Avalanche Screenshots
Actian Avalanche Integrations
- Microsoft Power BI
- Looker
- Tableau
- Qlik
- Excel Online
- DB Visualizer
- Talend
- IBM Data Stage
- Big Data Informatica
Actian Avalanche Competitors
- Snowflake
- Amazon Redshift
- Azure Synapse Analytics (Azure SQL Data Warehouse)
- Yellowbrick Data Warehouse
- Vertica
- Google BigQuery
- Oracle
- Teradata
- IBM Netezza
- Databricks
Actian Avalanche Technical Details
Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Windows, Linux |
Mobile Application | No |
Supported Countries | North America, Europe, Asia-Pacific |
Supported Languages | English |
Actian Avalanche Customer Size Distribution
Consumers | 0% |
---|---|
Small Businesses (1-50 employees) | 10% |
Mid-Size Companies (51-500 employees) | 50% |
Enterprises (more than 500 employees) | 40% |
Comparisons
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Reviews and Ratings
 (16)
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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.
- Oracle API Platform Cloud, TIBCO Cloud Integration (including BusinessWorks and Scribe), Informatica Cloud, Informatica Enterprise Data Integration, Jitterbit and Qlik Sense
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.
December 05, 2015
Run Away from VectorWise if implementing Enterprise Data Watehouse
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
- 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