Best On-Premise AI Data Analytics Tools of 2024

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

Blaze will learn about your database and write your SQL code. It will run the query and create graphs and dashboards. Blaze will do 85% of your data work for you. BlazeSQL Desktop allows you to run queries, visualize your data and do so in a completely local and secure environment. Results, graphs & dashboards in seconds. Blaze AI will remember what your columns are by allowing you to add this information to its memory. Add your database information in seconds. Connect or paste column names. The AI can understand the database without having to see your actual data. Run the query provided to extract table names and column names. Paste the results and the AI will remember them. Blaze is the best tool to work with SQL databases. Blaze will convert your English data into SQL code. Blaze is able to generate complex queries by using the technology behind ChatGPT. It will improve over time.

Empower your team to focus on the most important things. Instantly answer ad hoc questions from stakeholders. Business stakeholders receive immediate answers to their questions. Non-technical users can ask questions directly on Slack/Teams, and Data Analyst Language Model will respond with the results. Spend less time on ad hoc questions and more time on analysis that drives revenue. Empower analysts to concentrate on what's important. Open a previous query file to get started. DaLM improves with each use of the IDE and learns about the business logic behind queries. Start in just 5 minutes with any database of any size and complexity. We don't track anything, and no actual data from the database leaves your environment. The LLM receives only the schema and query code, not any actual data. The query code is also masked to hide any PII.