AVEVA Historian vs. Azure Databricks

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AVEVA Historian
Score 9.1 out of 10
N/A
AVEVA Historian, formerly from Wonderware, is a time-series optimized data store, allowing the user to capture and store high-fidelity industrial big data, to unlock trapped potential for operational improvements.N/A
Azure Databricks
Score 8.3 out of 10
N/A
Azure Databricks is a service available on Microsoft's Azure platform and suite of products. It provides the latest versions of Apache Spark so users can integrate with open source libraries, or spin up clusters and build in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. The solution includes autoscaling and auto-termination to improve…N/A
Pricing
AVEVA HistorianAzure Databricks
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
AVEVA HistorianAzure Databricks
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
AVEVA HistorianAzure Databricks
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
AVEVA HistorianAzure Databricks
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
AVEVA Historian
-
Ratings
Azure Databricks
9.7
1 Ratings
14% above category average
Connect to Multiple Data Sources00 Ratings10.01 Ratings
Extend Existing Data Sources00 Ratings9.01 Ratings
Automatic Data Format Detection00 Ratings10.01 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
AVEVA Historian
-
Ratings
Azure Databricks
4.0
1 Ratings
71% below category average
Visualization00 Ratings4.01 Ratings
Interactive Data Analysis00 Ratings4.01 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
AVEVA Historian
-
Ratings
Azure Databricks
8.5
1 Ratings
3% above category average
Interactive Data Cleaning and Enrichment00 Ratings7.01 Ratings
Data Transformations00 Ratings8.01 Ratings
Data Encryption00 Ratings10.01 Ratings
Built-in Processors00 Ratings9.01 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
AVEVA Historian
-
Ratings
Azure Databricks
9.0
1 Ratings
6% above category average
Multiple Model Development Languages and Tools00 Ratings10.01 Ratings
Automated Machine Learning00 Ratings8.01 Ratings
Single platform for multiple model development00 Ratings9.01 Ratings
Self-Service Model Delivery00 Ratings9.01 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
AVEVA Historian
-
Ratings
Azure Databricks
9.0
1 Ratings
5% above category average
Flexible Model Publishing Options00 Ratings8.01 Ratings
Security, Governance, and Cost Controls00 Ratings10.01 Ratings
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AVEVA HistorianAzure Databricks
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User Ratings
AVEVA HistorianAzure Databricks
Likelihood to Recommend
8.0
(1 ratings)
8.5
(2 ratings)
User Testimonials
AVEVA HistorianAzure Databricks
Likelihood to Recommend
AVEVA
Paired with Citect SCADA or System Platform, this is an excellent process historian. It also works well collecting OPC data. For basic data storage, retrieval, and analysis, this is well suited. This is not well suited for very large deployments. Multiple instances would need to be used to scale up, and the data fed into a second-tier/enterprise historian for corporate user consumption.
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Microsoft
Having access to all databases and tables in one place is what has helped me and my team to function better. The in built functionality/access to SQL and Python is definitely an added bonus! The icing on the cake is the ability to export your data into an Excel spreadsheet for additional analysis. If you have less to no working knowledge of SQL or Python, its better to look at alternatives.
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Pros
AVEVA
  • Data storage--multiple data sources stream data in real time; it is stored without issue
  • Data retrieval--small to moderate queries and trends are generally fast and efficient
  • Cost effectiveness--it is one of the cheaper (non-enterprise) historian offers and therefore is good value for money (with a reduced feature set)
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Microsoft
  • Consistently great performance when dealing with huge scale data with the help of spark architecture
  • Magic commands such as spark sql, pyspark, scala . This comes really handy in day to day work
  • Integration with other Azure services is super smooth and robust
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Cons
AVEVA
  • Query performance--for very long-term/large queries; the latest version which we are yet to commission has some improvements in this area
  • User interface--the trend, query, and Excel add-ins are basic and could do with a refresh; web-based clients are a paid add-on and less full featured, so not a true replacement
  • Connectivity--Wonderware System Platform driver packs are required for additional data source types, where native connectors are not provided by other products
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Microsoft
  • Intuitive interface
  • Ease of use
  • Providing FAQ or QRGs
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Alternatives Considered
AVEVA
AVEVA Historian, formerly Wonderware, was the best of the process tier historians in terms of reliability and functionality. It is still under development and not a "dead" product. It is also more cost effective than the more full-featured enterprise historians, such as PI, which our organization is not yet ready for. The feature set is at the right cost level, coupled with current support, were the key factors in the decision.
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Microsoft
No answers on this topic
Return on Investment
AVEVA
  • Increased efficiency, reduction in labour for preparing reports--data is available to be queried and reported with less effort
  • Increased production efficiency--near real-time data availability and comparisons to historical data has been used to make faster and better operational decisions
  • Increased reliability--data has been used for maintenance optimization and planning purposes
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Microsoft
  • Helped reduce time for collecting data
  • Reduced cost in maintaining multiple data sources
  • Access for multiple users and management of users/data in a single platform
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