UnSQL AI

Skip to content Unlock data insights for traditional and legacy enterprises We do the boring stuff. You skyrocket your business using insights. Book a demo See how it works Try our personal data concierge. Get started with a demo of our personal data concierge. Call the number mentioned below and talk to it about the sample data listed here. +1 (206) 687-4407 Direct integration with WhatsApp for Business for global customers. With 200 million monthly active users, more than 50% conversion rate and 85% SMBs in Asia-pacific using WhatsApp for Business, our integration supports data workflows unlike any other offering. Take a quick look at the demo here. No data engineering skills needed. Ask questions in plain english UnSQL speaks your language. It understands your data, inside and out, getting smarter with every question. Expose your insights to the world Generate single-click APIs. Leave things such as security and throttling to us while you focus on exposing your insights and dashboards to the world. Everything your data needs. Powered by UnSQLv1 UnSQL harnesses our cutting-edge text-to-SQL model, supporting 24 distinct SQL databases and facilitating seamless syntax conversion between them, simplifying analysis and migration processes. Personal Data Concierge Engage directly with your data by simply dialing your assigned cell phone number and conversing about its analysis. Eliminate the need for internet connectivity or extended screen time to extract valuable insights from your data. Constant Learning Leverage the intelligence of past inquiries to inform current ones, slashing your data team's future workload by at least 10x. Verified responses are archived, empowering smarter and more precise answers. Automated Insights UnSQL's AI goes beyond basic metrics. Discover customer churn, upsell opportunities, ROAS, LTV, and more. Optimize spending, set dynamic pricing, and unlock the full potential of your marketing efforts. Legacy Database Support Still using UniSQL or an ancient version of SQL Server? We got you covered! Our team will adjust to your needs and fine-tune our model for your use case. Community Marketplace Use our community marketplace to discover how our customers are engaging with their data and get inspired to derive new meaning from your data. Data security you can trust. At UnSQL, data security isn’t a checkbox, it’s our commitment. Our expert team and cutting-edge technology ensure your information is shielded 24/7, giving you complete peace of mind. On-premise analysisOur platform guarantees non-ingestion of your data unless expressly authorized by our customers for enhanced customization or enterprise assistance. All data analysis computations occur on-premise within the customer's infrastructure, ensuring maximum security and control. Audit logsDetailed audit logs enable comprehensive tracking of all data interactions, fostering transparency and accountability to fulfill privacy and compliance mandates effectively. Role-based access controlUtilize role-based access control for precise management of user permissions, guaranteeing restricted access to designated data sets solely for authorized personnel.SOC II Type II Compliance We are on track to hold SOC 2 Type II certification, showcasing our dedication to upholding the highest security and privacy benchmarks in the industry, ensuring your confidence in an ever-evolving digital landscape. Supports 24+ databases. Browse all Keep up with UnSQL, sign up to receive our news --- Skip to content About Us Every business deserves data-driven growth. Born in 2024, we’re a small team based out of Seattle. We value first-principles thinking, empathy, and customer-obsession. We created UnSQL to revolutionize data analysis, eliminating the need for traditional business analysts and empowering engineers, managers, and domain experts to take control. In a world where data is precious, extracting meaningful insights can feel as challenging as extracting batter from a cake, especially for non-technical individuals. And we’re here to address that. Here's a little about the founders. Sparsh Saxena Co-founder / CEO Sarthak Munshi Co-founder / CTO Why we make a great team? We have known each other for two decades! That’s two-thirds of our life! We met in 4th grade and instantly became best friends – not just because we enjoyed each other’s company, but more importantly, our dreams were the same from a very young age. We had to move to different cities when we were in 8th grade, but we stayed in touch. Despite taking different paths, we ended up at the same destination – literally and metaphorically. We ended up in the same city (Seattle), and we have similar life philosophies. We both are engineers. We both have led high-value projects at industry leaders like Microsoft, Amazon, Shopify, and NASA! Since childhood, our dreams and values were similar. We cheer for each other, challenge each other, and test each other. Above all – we make a great team! And, we are here to build the next big enterprise together! With support from our amazing advisors, investors, and early beta testers. Rush Shahani Early Advisor, Co-Founder @ Persana AI (YC W23) Claudius Mbemba Early Advisor, CTO @ Neu, Techstars 2023 --- Skip to content Database Integrations Built to connect and interact with your favorite old and new database. MySQL MySQL is a popular open-source relational database management system known for its speed, reliability, and ease of use. MySQL is written in C and C++, providing robust features like ACID compliance, indexing, and stored procedures for efficient data handling. Postgres Postgres, an advanced open-source relational database management system, boasts features such as extensibility, SQL compliance, and ACID compliance. Written in C, PostgreSQL emphasizes reliability and extensibility through its support for user-defined functions, procedural languages, and custom extensions. SQLite SQLite is a lightweight, serverless, self-contained relational database management system renowned for its simplicity and portability. It’s implemented as a C library that allows direct access to its storage format without the need for a separate server process. Ideal for embedded systems, mobile applications, and small-scale deployments. MariaDB MariaDB is forked from MySQL, offering enhanced performance, scalability, and security features. It supports various storage engines, including InnoDB and Aria. Written in C and C++, MariaDB provides compatibility with MySQL while introducing new features like thread pooling and parallel replication. Oracle Oracle offers advanced features such as partitioning, clustering, and data compression for optimal performance and resource management. Written in C and C++, it powers mission-critical applications across industries, providing robust solutions for data warehousing. IBM DB2 IBM Db2 offers features such as data compression, workload management, and multi-platform support, including mainframe, distributed systems, and cloud environments. Microsoft SQL Server SQL Server offers advanced capabilities such as Always On Availability Groups for high availability and robust security features like Transparent Data Encryption (TDE). Widely used in enterprise environments, SQL Server powers critical applications, business intelligence solutions, and data warehousing initiatives with its seamless integration with Microsoft technologies like Azure and Power BI. Snowflake Snowflake supports ANSI SQL queries, with features such as automatic scaling, data sharing, and built-in support for semi-structured data formats like JSON and Avro. Leveraging a unique architecture, Snowflake offers features like instant cloning, time travel, and fail-safe data replication for efficient data management and analysis in diverse business environments. Sybase Sybase is a relational database management system originally developed by Sybase, Inc., now part of SAP. Sybase supports SQL queries, transactions, and procedural languages like Transact-SQL (T-SQL). Initially popular in the financial sector, Sybase has found application in various industries, providing reliable data management solutions for critical business processes. IBM Informix IBM Informix offers features such as data replication, built-in spatial and time-series extensions, and automatic data compression for efficient storage management. Known for its low administration overhead and minimal downtime, Informix is favored in industries requiring real-time analytics, IoT applications, and high-volume transaction processing. Greenplum Greenplum is a massively parallel processing data platform designed for analytics and data warehousing. It is based on open-source PostgreSQL and optimized for large-scale data processing. It offers features such as automatic data partitioning, parallel query execution, and workload management for optimal performance and scalability. Teradata Teradata offers features such as automatic data distribution, workload management, and in-database analytics for real-time insights. Widely used in enterprises for data warehousing, business intelligence, and advanced analytics, Teradata provides a comprehensive solution for managing and analyzing vast datasets. IBM Netezza IBM Netezza, now known as IBM Netezza Performance Server, is a high-performance data warehousing appliance designed for analytics and business intelligence. It leverages a massively parallel processing architecture to deliver fast query performance on large datasets. With its unique FPGA-based hardware acceleration, Netezza offers rapid data loading and query processing capabilities. Apacha Hive Apache Hive is a data warehouse infrastructure built on top of Hadoop for querying and analyzing large datasets stored in Hadoop’s distributed file system (HDFS). It provides a SQL-like interface called HiveQL for querying data, making it accessible to users familiar with SQL. Hive translates queries into MapReduce or Apache Tez jobs, enabling parallel processing across a cluster of machines. Amazon Redshift Amazon Redshift is a fully managed cloud data warehousing service designed for high-performance analytics and business intelligence workloads. It offers features such as automatic scaling, columnar storage, and advanced compression techniques for efficient data storage and query performance. Singlestore SingleStore, formerly known as MemSQL, is a distributed relational database management system designed for high-performance transactional and analytical workloads. It combines the scalability of NoSQL databases with the familiarity of SQL. It features a distributed architecture that allows it to scale horizontally across multiple nodes while providing low-latency access to data. Apache Spark Apache Spark is a fast and general-purpose distributed computing system designed for big data processing and analytics. It provides a unified framework for batch processing, interactive querying, real-time streaming, and machine learning. Spark’s core abstraction is the Resilient Distributed Dataset, which allows data to be distributed across a cluster of machines and processed in parallel. Azure Synapse Azure Synapse Analytics, formerly known as Azure SQL Data Warehouse, is a cloud-based analytics service provided by Microsoft Azure. Synapse supports both relational and non-relational data, allowing users to query data using SQL or Apache Spark. It offers features such as automatic scaling, data integration, and built-in security for managing and analyzing diverse datasets. Trino Trino allows users to query data stored in various systems such as Hadoop, Amazon S3, MySQL, and more, using a single SQL interface. Trino’s architecture enables parallel execution of queries across a cluster of machines, providing fast query performance and scalability. Trino is widely used for ad-hoc analysis, data exploration, and ETL (extract, transform, load) processes in organizations dealing with large-scale data. Presto Presto is an open-source distributed SQL query engine designed for fast and interactive analytics on large-scale data sets that also happens to be a discontinued and much older Trino. Cloudera Impala Cloudera Impala is an open-source massively parallel processing SQL query engine designed for high-performance interactive analytics on Apache Hadoop data stored in HDFS (Hadoop Distributed File System) and HBase. It provides a familiar SQL interface for querying data directly within Hadoop, allowing users to run SQL queries in real-time against large datasets without the need for data movement or transformation. Databricks SQL Databricks SQL is a unified analytics engine provided by Databricks, designed for processing and querying large-scale data sets using SQL queries. It is built on top of Apache Spark, leveraging its distributed computing capabilities for scalable data processing. Databricks SQL allows users to interactively query data stored in various sources, including data lakes, relational databases, and streaming data, using standard SQL syntax. Google BigQuery Google BigQuery is a serverless, highly scalable, and cost-effective cloud data warehouse provided by Google Cloud Platform. It enables users to analyze and query large datasets using SQL-like queries in a fast and interactive manner. BigQuery is built on a distributed architecture, allowing it to process terabytes to petabytes of data quickly by distributing queries across multiple machines. Firebird Firebird offers features like multi-generation architecture for efficient handling of concurrent transactions and MVCC (Multi-Version Concurrency Control). Firebird is lightweight and can be embedded within applications or deployed as a standalone server. Firebird is commonly used in small to medium-sized applications, especially in embedded systems, desktop applications, and web servers, where simplicity, reliability, and low maintenance overhead are valued. --- Skip to content FAQs When will UnSQL launch? UnSQL plans to go live on 1st May 2024. What if my SQL database is not supported? Reach out to our team to explore potential solutions through the fine-tuning of our AI models, tailored to address your specific challenges. Which language model do you use? Our model, UnSQLv1 is pre-trained code-llama2 which is fine-tuned on our curated natural language to SQL dataset. We have developed a 7b and 13b variant as of February 2024.