Business Software for SQL - Page 11

Top Software that integrates with SQL as of October 2025 - Page 11

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  • 1
    Synctify

    Synctify

    Synctify

    Synctify is a low-code data platform that enables data teams to create and manage data pipelines with greater speed and control. Designed to bridge the gap between complex data engineering and business agility, Synctify offers a visual and intuitive pipeline builder, robust scheduling and orchestration tools, and built-in data quality checks to ensure reliability. Users can connect to a variety of data sources and destinations with ease, leveraging prebuilt connectors while maintaining full control over transformations through SQL or Python. It emphasizes transparency and traceability with detailed logging, versioning, and audit trails. Synctify supports both batch and streaming data pipelines, enabling teams to manage real-time data flows and large-scale transformations efficiently. With role-based access control and collaborative features, data teams can work together securely and efficiently, reducing time-to-insight and aligning operations with business objectives.
    Starting Price: $199 per month
  • 2
    Windows Server Failover Clustering
    Failover Clustering in Windows Server (and Azure Local) enables a group of independent servers to work together to improve availability and scalability for clustered roles (formerly known as clustered applications and services). These nodes are interconnected via hardware and software, and if one node fails, another assumes its roles through an automated failover process. Clustered roles are actively monitored and, if they stop functioning, are restarted or migrated to maintain service continuity. The feature also supports Cluster Shared Volumes (CSVs), which provide a unified, distributed namespace and consistent shared storage access across nodes, reducing service disruptions. Typical uses include high‑availability file shares, SQL Server instances, and Hyper‑V virtual machines. Failover Clustering is supported on Windows Server 2016, 2019, 2022, and 2025, and in Azure Local environments.
  • 3
    VibeScan

    VibeScan

    VibeScan

    VibeScan is an AI-powered code scanning and fixing platform that enables developers and teams to confidently ship AI-generated code by automatically detecting and resolving issues that often slip through manual reviews. Users simply upload their code, whether written by traditional means or AI tools like OpenAI, Claude, GitHub Copilot, Cursor, etc., and VibeScan performs a comprehensive analysis covering security vulnerabilities (such as exposed API keys or SQL injection risks), performance bottlenecks, code quality concerns (like duplication or poor structure), and readiness for launch (including payment integrations, analytics, rate limiting, and privacy policy checks). The platform presents findings in an intuitive dashboard, with scores and one-click auto-fixes to streamline remediation. It supports large codebases, scanning up to 500,000 lines, and integrates with popular repositories and workflow tools.
    Starting Price: $13.30 per month
  • 4
    Aleph

    Aleph

    Aleph

    Aleph is an AI-native FP&A platform that integrates data consolidation, spreadsheets, dashboards, and automated intelligence to streamline finance workflows. It connects to 150+ systems (ERP, HRIS/ATS, CRM, databases) using no-code tools to sync data in real time, transform raw imported data via mapping, combining tables, applying logic/calculations, and storing metrics. You can use Aleph as a web-based system, with spreadsheet add-ins, so existing models are preserved but powered by cleaner live data. It offers dashboards and drill-downs to spot variances, run reporting and close routines quickly, do forecasting and budget planning, model scenarios, do headcount planning, and visualize/share metrics across teams. Security is built in (SOC 2 Type II), compliance features are present, and the product is designed to give value quickly; clients report being up and running and producing reports in days or weeks.
  • 5
    CData Connect AI
    CData’s AI offering is centered on Connect AI and associated AI-driven connectivity capabilities, which provide live, governed access to enterprise data without moving it off source systems. Connect AI is built as a managed Model Context Protocol (MCP) platform that lets AI assistants, agents, copilots, and embedded AI applications directly query over 300 data sources, such as CRM, ERP, databases, APIs, with a full understanding of data semantics and relationships. It enforces source system authentication, respects existing role-based permissions, and ensures that AI actions (reads and writes) follow governance and audit rules. The system supports query pushdown, parallel paging, bulk read/write operations, streaming mode for large datasets, and cross-source reasoning via a unified semantic layer. In addition, CData’s “Talk to your Data” engine integrates with its Virtuality product to allow conversational access to BI insights and reports.
  • 6
    Cloudera Data Warehouse
    Cloudera Data Warehouse is a cloud-native, self-service analytics solution that lets IT rapidly deliver query capabilities to BI analysts, enabling users to go from zero to query in minutes. It supports all data types, structured, semi-structured, unstructured, real-time, and batch, and scales cost-effectively from gigabytes to petabytes. It is fully integrated with streaming, data engineering, and AI services, and enforces a unified security, governance, and metadata framework across private, public, or hybrid cloud deployments. Each virtual warehouse (data warehouse or mart) is isolated and automatically configured and optimized, ensuring that workloads do not interfere with each other. Cloudera leverages open source engines such as Hive, Impala, Kudu, and Druid, along with tools like Hue and more, to handle diverse analytics, from dashboards and operational analytics to research and discovery over vast event or time-series data.
  • 7
    PITSS.CON
    Our PITSS.CON tool is the all-in-one legacy code analysis and transformation platform. Contact us to learn how you can use PITSS.CON to make the most of your legacy applications. Completely understand your Oracle Forms and Reports applications from the inside out. Oracle Forms and Reports applications of all sizes and levels of complexity can be quickly and accurately analyzed with our static code analysis tool, allowing organizations to take the guesswork and risk out of application development and maintenance. Using Oracle’s own API and the analytical power of its centralized data repository, our static code analysis tool performs a fast, detailed review of even the most complex and comprehensive applications.
  • 8
    Databricks Data Intelligence Platform
    The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.
  • 9
    Poppulo

    Poppulo

    Poppulo

    Poppulo is the leading communications and workplace experience software company. The Poppulo Harmony platform helps enterprise organizations achieve more by effortlessly connecting their employees, customers, and workplaces through omnichannel employee communications, digital signage, and workplace management. Poppulo’s 6,000+ customer base is representative of the world’s most successful companies, including 47 of the Fortune 100.
  • 10
    Quandis Business Objects
    The Quandis Business Objects (QBO) platform provides an integrated suite of web services for managing business operations from large-scale enterprises to small startups. Much as Microsoft Office served as a productivity suite for an individual, QBO is a productivity platform for a company. QBO is maintained by “power users”: business experts who are trained to configure QBO, rather than developers who need to learn the nuances of your business. Tired of specifications that don’t match your actual business processes? Frustrated by scope creep? Take control of your business systems by using QBO to configure your business processes. Invoicing, fee and cost tracking, time sheet tracking, and integration with accounting systems like Quicken/QuickBooks, Microsoft Dynamics, and more.
    Starting Price: $2.50 per month
  • 11
    Nova

    Nova

    Panic

    If we're being honest, Mac apps are a bit of a lost art. There are great reasons to make cross-platform apps — to start, they're cross-platform — but it's just not who we are. Founded as a Mac software company in 1997, our joy at Panic comes from building things that feel truly, well, Mac-like. Long ago, we created Coda, an all-in-one Mac web editor that broke new ground. But when we started work on Nova, we looked at where the web was today, and where we needed to be. It was time for a fresh start. It all starts with our first-class text-editor. It's new, hyper-fast, and flexible, with all the features you want: smart autocomplete, multiple cursors, a Minimap, editor overscroll, tag pairs and brackets, and way, way more. For the curious, Nova has built-in support for CoffeeScript, CSS, Diff, ERB, Haml, HTML, INI, JavaScript, JSON, JSX, Less, Lua, Markdown, Perl, PHP, Python, Ruby, Sass, SCSS, Smarty, SQL, TSX, TypeScript, XML, and YAML.
  • 12
    Qubole

    Qubole

    Qubole

    Qubole is a simple, open, and secure Data Lake Platform for machine learning, streaming, and ad-hoc analytics. Our platform provides end-to-end services that reduce the time and effort required to run Data pipelines, Streaming Analytics, and Machine Learning workloads on any cloud. No other platform offers the openness and data workload flexibility of Qubole while lowering cloud data lake costs by over 50 percent. Qubole delivers faster access to petabytes of secure, reliable and trusted datasets of structured and unstructured data for Analytics and Machine Learning. Users conduct ETL, analytics, and AI/ML workloads efficiently in end-to-end fashion across best-of-breed open source engines, multiple formats, libraries, and languages adapted to data volume, variety, SLAs and organizational policies.
  • 13
    QuasarDB

    QuasarDB

    QuasarDB

    Quasar's brain is QuasarDB, a high-performance, distributed, column-oriented timeseries database management system designed from the ground up to deliver real-time on petascale use cases. Up to 20X less disk usage. Quasardb ingestion and compression capabilities are unmatched. Up to 10,000X faster feature extraction. QuasarDB can extract features in real-time from the raw data, thanks to the combination of a built-in map/reduce query engine, an aggregation engine that leverages SIMD from modern CPUs, and stochastic indexes that use virtually no disk space. The most cost-effective timeseries solution, thanks to its ultra-efficient resource usage, the capability to leverage object storage (S3), unique compression technology, and fair pricing model. Quasar runs everywhere, from 32-bit ARM devices to high-end Intel servers, from Edge Computing to the cloud or on-premises.
  • 14
    Apache Drill

    Apache Drill

    The Apache Software Foundation

    Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage
  • 15
    Presto

    Presto

    Presto Foundation

    Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. For data engineers who struggle with managing multiple query languages and interfaces to siloed databases and storage, Presto is the fast and reliable engine that provides one simple ANSI SQL interface for all your data analytics and your open lakehouse. Different engines for different workloads means you will have to re-platform down the road. With Presto, you get 1 familar ANSI SQL language and 1 engine for your data analytics so you don't need to graduate to another lakehouse engine. Presto can be used for interactive and batch workloads, small and large amounts of data, and scales from a few to thousands of users. Presto gives you one simple ANSI SQL interface for all of your data in various siloed data systems, helping you join your data ecosystem together.
  • 16
    Apache Spark

    Apache Spark

    Apache Software Foundation

    Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.
  • 17
    Eclipse Che

    Eclipse Che

    Eclipse Che

    Eclipse Che makes Kubernetes development accessible for developer teams, providing one-click developer workspaces and eliminating local environment configuration for your entire team. Che brings your Kubernetes application into your development environment and provides an in-browser IDE, allowing you to code, build, test and run applications exactly as they run on production from any machine. Eclipse Che runs in containers. All of the developer tools, the IDE and its plugins are running as containerized services. You don’t have to worry about how to configure them, install their dependencies or keeping them alive - everything is packaged together in the container. Che allows you to establish a centralized configuration for your team’s development environment and technology stacks. Eclipse Che comes with a web-based IDE, based on Eclipse Theia which provides an in-browser VSCode experience complete with the latest tooling protocols.
  • 18
    Apache Zeppelin
    Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more. IPython interpreter provides comparable user experience like Jupyter Notebook. This release includes Note level dynamic form, note revision comparator and ability to run paragraph sequentially, instead of simultaneous paragraph execution in previous releases. Interpreter lifecycle manager automatically terminate interpreter process on idle timeout. So resources are released when they're not in use.
  • 19
    OpenAI Codex
    OpenAI Codex is an advanced AI coding tool designed to assist software developers by automating many tasks in their coding workflow. It allows users to delegate tasks such as writing features, answering codebase questions, running tests, and proposing pull requests (PRs) for review. Codex works in parallel, handling multiple tasks simultaneously in secure cloud sandboxes preloaded with your repository. This tool helps developers move through their backlog faster and more efficiently, making it an invaluable asset for teams looking to streamline their development process.
  • 20
    Snipplr

    Snipplr

    Snipplr

    Snipplr was designed to solve a simple problem. We had too many random bits of code and HTML scattered all over our computers. We'd hunt and dig around for five minutes looking for the couple lines of code we wrote four projects ago just so we wouldn't have to retype them. We're lazy. We needed a way to keep all of our stuff organized. Snipplr is our solution. Now, all of our code snippets are stored in one place. Best of all, the other guys at work have access to each others' code library. With Snipplr you can keep all of your frequently used code snippets in one place that's accessible from any computer. You can share your code with other visitors and use what they post, too.
  • 21
    Spacemacs

    Spacemacs

    Spacemacs

    A community-driven Emacs distribution. The best editor is neither Emacs nor Vim, it's Emacs and Vim! Spacemacs is a new way to experience Emacs, a sophisticated and polished set-up focused on ergonomics, mnemonics and consistency. Key bindings are organized using mnemonic prefixes like b for buffer, p for project, s for search, h for help etc. Innovative real-time display of available key bindings. Simple query system to quickly find available layers, packages and more. Similar functionalities have the same key binding everywhere thanks to a clearly defined set of conventions. Community-driven configuration provides curated packages tuned by power users and bugs are fixed quickly.
  • 22
    Buffer Editor

    Buffer Editor

    Buffer Editor

    Buffer Editor is a powerful code and text editor that lets you easily develop software, view code or take notes on the go. Join thousands of coders who trust Buffer Editor for fast, powerful, and advanced code editing on mobile devices. Preview any files supported by iOS including images, PDFs, movies and documents. Quickly switch between your open files. Open multiple terminals in tabs. Preview on localhost or on your server.
    Starting Price: $9.99 one-time payment
  • 23
    jEdit

    jEdit

    jEdit

    jEdit is a mature programmer's text editor with hundreds (counting the time developing plugins) of person-years of development behind it. While jEdit beats many expensive development tools for features and ease of use, it is released as free software with full source code, provided under the terms of the GPL 2.0. Built-in macro language; extensible plugin architecture. Hundreds of macros and plugins available. Plugins can be downloaded and installed from within jEdit using the "plugin manager" feature. Supports a large number of character encodings including UTF8 and Unicode. Highly configurable and customizable. Every other feature, both basic and advanced, you would expect to find in a text editor.
  • 24
    DuckDB

    DuckDB

    DuckDB

    Processing and storing tabular datasets, e.g. from CSV or Parquet files. Large result set transfer to client. Large client/server installations for centralized enterprise data warehousing. Writing to a single database from multiple concurrent processes. DuckDB is a relational database management system (RDBMS). That means it is a system for managing data stored in relations. A relation is essentially a mathematical term for a table. Each table is a named collection of rows. Each row of a given table has the same set of named columns, and each column is of a specific data type. Tables themselves are stored inside schemas, and a collection of schemas constitutes the entire database that you can access.
  • 25
    LabWindows/CVI

    LabWindows/CVI

    National Instruments

    The LabWindows/CVI ANSI C integrated programming environment helps you create custom engineering applications. You can use it to manage your project, edit and debug source code, build a user interface, and test code output and performance in one streamlined, tabbed workspace. LabWindows/CVI includes tools for advanced debugging, code documentation, and system deployment so you can integrate source code control, requirements, and data management systems. The software also makes it easier to quickly acquire data from GPIB, USB, serial, Ethernet, PXI, VXI, and FPGA instruments using the built-in instrument I/O libraries, built-in instrument drivers, or the two interactive measurement assistants. LabWindows/CVI provides an all in one work environment for ANSI C development to create test and measurement applications.
  • 26
    ksqlDB

    ksqlDB

    Confluent

    Now that your data is in motion, it’s time to make sense of it. Stream processing enables you to derive instant insights from your data streams, but setting up the infrastructure to support it can be complex. That’s why Confluent developed ksqlDB, the database purpose-built for stream processing applications. Make your data immediately actionable by continuously processing streams of data generated throughout your business. ksqlDB’s intuitive syntax lets you quickly access and augment data in Kafka, enabling development teams to seamlessly create real-time innovative customer experiences and fulfill data-driven operational needs. ksqlDB offers a single solution for collecting streams of data, enriching them, and serving queries on new derived streams and tables. That means less infrastructure to deploy, maintain, scale, and secure. With less moving parts in your data architecture, you can focus on what really matters -- innovation.
  • 27
    Feast

    Feast

    Tecton

    Make your offline data available for real-time predictions without having to build custom pipelines. Ensure data consistency between offline training and online inference, eliminating train-serve skew. Standardize data engineering workflows under one consistent framework. Teams use Feast as the foundation of their internal ML platforms. Feast doesn’t require the deployment and management of dedicated infrastructure. Instead, it reuses existing infrastructure and spins up new resources when needed. You are not looking for a managed solution and are willing to manage and maintain your own implementation. You have engineers that are able to support the implementation and management of Feast. You want to run pipelines that transform raw data into features in a separate system and integrate with it. You have unique requirements and want to build on top of an open source solution.
  • 28
    Zepl

    Zepl

    Zepl

    Sync, search and manage all the work across your data science team. Zepl’s powerful search lets you discover and reuse models and code. Use Zepl’s enterprise collaboration platform to query data from Snowflake, Athena or Redshift and build your models in Python. Use pivoting and dynamic forms for enhanced interactions with your data using heatmap, radar, and Sankey charts. Zepl creates a new container every time you run your notebook, providing you with the same image each time you run your models. Invite team members to join a shared space and work together in real time or simply leave their comments on a notebook. Use fine-grained access controls to share your work. Allow others have read, edit, and run access as well as enable collaboration and distribution. All notebooks are auto-saved and versioned. You can name, manage and roll back all versions through an easy-to-use interface, and export seamlessly into Github.
  • 29
    Kennect

    Kennect

    Kennect

    Build, run and automate your incentive compensation plans to create transparency and achieve operational efficiency. Kennect’s intelligent nudges based on sales compensation enable your employees to stay motivated & keep pushing their limits. Your incentive plans may get complex but building them in Kennect will always be simple. And the best part is that no database knowledge is required. Compensating the sales team accurately requires robust crediting, which is not always easy. Well, it is, with Kennect. Assign each transaction correctly down to the last person. With Kennect, you can easily configure workflows for sharing documents, getting plan approvals, dispute resolution, etc. With the ability to track and send reminders. Kennect helps you drive desired sales behavior by aligning your sales team with organizational goals and helping them earn more.
    Starting Price: $20 per user per month
  • 30
    Dyania Health

    Dyania Health

    Dyania Health

    Our regulatory compliant platform empowers clinical research by algorithmically analyzing unstructured EMR data for life endangering conditions. We build technologies that expand access to the most Innovative Healthcare through Clinical Trials. We are a team focused on saving lives by providing access to healthcare therapeutic innovations that are still under investigation. We believe that every patient should be empowered and educated on their opportunities to participate in clinical trials that may offer therapies significantly saving or improving their lives. We are an advanced healthcare AI research company that have developed a computational-based platform to identify patients who match a complex set of criteria to participate in clinical trials.