Qlik Sense helps uncover insights that query-based BI tools simply miss. Our one-of-a-kind Associative Engine brings together all your data so users can freely search and explore to find new connections. AI and cognitive capabilities offer insight suggestions, automation and conversational interaction. This leads to bigger, bolder discoveries and rising data literacy. And a governed, multi-cloud platform offers full deployment choice – including SaaS – and supports a complete range of BI use cases.

dbForge Documenter for Oracle is a handy visual tool for documenting Oracle databases. This Oracle documentation tool automatically generates documentation of an entire Oracle database in HTML, PDF, and MARKDOWN file formats. The tool includes a wide range of options to set up, customize and fine-tune the generated documentation and allows automating Oracle database documenting with the command-line interface.

Easily let your end-users update their data in SQL Server. We believe in simplicity and ease of use. We believe that data should be easy to manage and easy to keep up to date. That is why we are making SQL Spreads the number one choice for updating and managing data in SQL Server.

DBConvert Studio is a powerful cross-database migration and synchronization application which seamlessly converts database structure and data between various formats. Different sync options keep data fresh for both source and destination database nodes.

Achieve 100,000 writes per second, and over one million reads on commodity hardware. We developed Voron, our own custom-made storage engine tailored just to soup up RavenDB’s performance. Our GUI makes the RavenDB user experience enjoyable for developers and non-developers alike. It’s part of any license, including your free community version.

Navicat Premium is a database development tool that allows you to simultaneously connect to MySQL, MariaDB, SQL Server, Oracle, PostgreSQL, and SQLite databases from a single application. Compatible with cloud databases like Amazon RDS, Amazon Aurora, Amazon Redshift, SQL Azure, Oracle Cloud and Google Cloud. You can quickly and easily build, manage and maintain your databases.

dbForge Data Compare for PostgreSQL is a GUI tool for table data comparison and synchronization. This PostgreSQL compare tool helps to custom-tailor the detection of data differences between two PostgreSQL tables, and establish smart management, and safe deployment of table data inconsistencies. The PostgreSQL diff tool also delivers the generation of the PostgreSQL data synchronization scripts with multiple options to keep PostgreSQL data in sync.

dbForge Data Generator for Oracle is a small but mighty GUI tool for populating Oracle schemas with tons of realistic test data. With extensive collection of basic and meaningful generators for various data types, flexible customization options, templates for creating your own generators, the tool delivers flawless data generation (including random number generation) in a well-designed user interface.

ZappySys ODBC Drivers built using standard which is widely adopted by industry for a long time. Which mean the majority of BI Tools / Database Engines / ETL Tools already there will support native / 3rd party ODBC Drivers. Below is the small list of most popular tools / programming languages our Drivers support. If your tool / programming language doesn’t appear in the below list, which means we have not documented use case but as long as your tool supports ODBC Standard, our drivers should work fine.

ODBC PowerPack is a collection of high-performance ODBC API Drivers for various API data source (i.e. REST API, JSON, XML, CSV, Amazon S3 …). Using familiar SQL query language you can read/query data from API sources or JSON / XML / CSV Files inside SQL Server (T-SQL) or your favorite Reporting (i.e. Power BI, Tableau, Qlik, SSRS, MicroStrategy, Excel, MS Access), ETL Tools (i.e. Informatica, Talend, Pentaho, SSIS). You can also call our drivers from programming languages such as JAVA, C#, Python, PowerShell etc.

Data modelers and architects have to respond to multiple levels of data-related business needs. Some key activities that may need their attention include:

Build out a data model as part of a development cycle
Discover and document existing assets across the data landscape
Create and populate a data warehouse
Build out an enterprise data model
Catalog metadata for data governance or data quality initiatives
Perform an impact analysis of new policies or projected changes to models, databases, or data fields
ER/Studio Data Architect helps to address all of these situations, with robust logical and physical modeling, data dictionaries, forward and reverse engineering, and more.