Best ETL Tools - Page 19

Tale of Data

Tale of Data is a no-code ETL and data integration platform with data quality built directly into its pipelines. Business and IT teams extract, move, transform, correct and publish data on the same visual canvas. Pipelines typically reach production in a few weeks, not a six-month project. Designed and developed in France. What sets it apart 1. Data quality inside the pipeline, not in a separate tool. As data flows through a pipeline, Tale of Data audits it automatically. It then standardizes it, deduplicates it with fuzzy matching, corrects it and validates it against custom business rules, including rules spanning several columns. Real-time alerts explain each issue and suggest fixes, and full data lineage traces every figure back to its source. Most ETLs move data. Tale of Data also fixes it, in the same no-code flow. 2. Automatic data cataloging. Scheduled scanners extract metadata from databases, files (Excel, CSV, JSON, Parquet) and ERP/CRM systems (SAP, Salesforce, Microsoft Dynamics). They recognize business data types such as names, emails, phone numbers, IBANs and personal data, and users can define their own types. They also measure the quality of the actual data: missing, malformed or inconsistent values. Who it’s for Data engineers and architects: hand off repetitive integration work and keep full governance of production. Business analysts and data stewards: build and adapt their own pipelines after one day of training, without IT tickets. Key facts - Engine: Apache Spark, single server or cluster - Connectivity: Snowflake, Databricks, BigQuery, Oracle, SQL Server, PostgreSQL, S3, SharePoint, SAP, Salesforce, HubSpot, OData and cloud APIs - DataOps: test, preprod and prod environments, versioning, scheduling, REST API - Generative AI (can be disabled): transform and enrich data row by row in natural language, using Claude, OpenAI or self-hosted open-source models - Deployment: shared SaaS, dedicated SaaS, private cloud or on-premises (Docker, Podman, Kubernetes) - Pricing: flat and predictable, independent of data volume, rows or CPU usage

Teknete

Teknete is an AI-augmented, low-code ETL & data automation platform designed for modern data teams that need reliable, scalable, and adaptive data pipelines—without heavy engineering overhead. In today’s data landscape, traditional ETL tools struggle to keep up with dynamic data sources, frequent schema changes, and the demand for rapid delivery. Teknete solves these challenges by combining advanced AI-assisted data mapping, schema drift detection, and low-code pipeline design into a single unified platform. With Teknete, teams can: Build and deploy ETL pipelines faster using an intuitive low-code visual interface Automate schema discovery and transformations with AI assistance Reduce maintenance overhead thanks to proactive change detection and intelligent validation Support structured and unstructured sources, including databases, APIs, SaaS apps, files, and event streams Scale data workflows with confidence, powering analytics, reporting, and operational systems Enable cross-functional teams (data engineers, analysts, architects) to collaborate efficiently Teknete is ideal for enterprises and mid-market adopters that: Want to reduce the time and cost of ETL development Are tired of brittle pipelines that break with every source change Need a unified platform that supports both developer productivity and business agility Whether you’re modernizing legacy ETL, building next-gen data pipelines, or accelerating analytics delivery, Teknete streamlines data workflows so teams can focus on insights—rather than fixing pipelines.

Tempo BigQuery Connector for Jira

Export large volumes of Jira data to BigQuery for large-scale data management and analytics. Customize data exports and automate data syncs without coding expertise to make data-driven decisions at scale

Tempo Tableau Connector for Jira

Seamlessly integrate Jira data with Tableau for dynamic insights. Our intuitive connector streamlines data export, empowering you to analyze and visualize Jira data effortlessly.

Transfer App

Transfer App is a Snowflake Native App that lets finance, ops and analyst teams load Excel, CSV and other file types into Snowflake without INSERT rights. Files are validated before load, every upload is logged, and data stays in the customer's account.

Tugger

Tugger is the AI-powered data platform that connects your business systems to the analytics and AI tools you want to use. Most businesses are sitting on a goldmine of data locked inside the platforms they use every day - job management systems, accounting software, CRM tools, and more. Getting that data out, combining it, and turning it into real answers has traditionally meant expensive developers, complex API work, and months of setup. Tugger changes that. How it works Tugger connects to your business platforms - Simpro, Xero, HubSpot, QuickBooks, and more - and automatically pulls your data into a secure, managed cloud data warehouse. No coding. No API configuration. No data warehouse setup required. We handle all of that so you don't have to. Once your data is in the warehouse, you've got two powerful ways to get answers. Ask your data anything Connect your Tugger warehouse to Claude, ChatGPT, or Gemini via our built-in MCP server and ask questions in plain English. No SQL. No formulas. No waiting for someone to build a report. Just type a question and get a real, data-backed answer in seconds. Ask things like "which jobs made money last month?" or "what's my quote conversion rate by salesperson?" - instantly, across all your connected systems at once. Power BI and Tableau dashboards For teams that want visual dashboards, Tugger connects directly to Power BI and Tableau. Pre-built report templates for the most popular connectors mean you can hit the ground running without building everything from scratch. Who uses Tugger Field service businesses use Tugger to track job profitability, technician utilisation, and quote conversion. Finance teams use it to get instant answers from Xero and QuickBooks without manual exports. Sales teams connect HubSpot for pipeline visibility and performance reporting. Accountancy practices use it to give clients self-serve access to their own data across multiple entities. Why customers choose Tugger Simple to set up - most customers are up and running in minutes, not months. Secure by design - ISO 27001 aligned, built on Microsoft Azure, with enterprise-grade data storage included in every plan. No contracts, transparent pricing, and a support team customers consistently describe as outstanding.

Average Rating: 4.8/5.0

Total Reviews: 5

UnifyApps

UnifyApps is the Horizontal AI Operating System — the Fourth Platform. It does the 80% of Enterprise AI that has nothing to do with the model: unifying knowledge, governance, and actionability across every system into one Enterprise Brain (an enterprise context graph), then letting teams assemble reusable workflows, agents, and apps — human + AI — on top. Open and model-agnostic, additive to the existing stack with 950+ connectors, UnifyApps takes enterprises from pilot to production up to 10x faster, 10x cheaper, and 10x easier to maintain — without rip-and-replace or lock-in to any model, vendor, or roadmap.

Average Rating: 4.2/5.0

Total Reviews: 3

ViceVersa OST to PST Converter

ViceVersa OST to PST Converter is the professional tool designed to convert OST files to PST format on Windows OS.

Vise Data Migration Workbench (DMW)

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xSkrape for SQL Server

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Xtract for Alteryx

Xtract for Alteryx is a drag-and-drop SAP connector built directly into Alteryx Designer and Server, letting business analysts load SAP data into their Alteryx workflows without writing ABAP code. It connects to SAP ERP, S/4HANA, BW, and BW/4HANA systems and provides access to tables, BAPIs, InfoCubes, DataSources, CDS views, reports, and hierarchies. Designed for analytics teams working with sales, finance, procurement, materials management, or HR data, Xtract for Alteryx eliminates manual exports or format conversions — everything happens where the analysis already takes place. Parameterizable filters and configurable extraction logic support flexible, dynamic workflows, while high-performance extraction handles large datasets and mass-data scenarios reliably, reducing development effort and speeding up time-to-insight. Learn more and try it for free: https://theobald-software.com/en/xtract-for-alteryx

Xtract IS

Xtract IS is Theobald Software's SAP connector for SQL Server Integration Services (SSIS), enabling fast and reliable extraction of SAP data from ERP, S/4HANA, or BW systems directly into SSIS-based ETL processes. The components appear natively in the SSIS toolbox, so SAP data can be modeled and processed via drag & drop alongside standard SSIS sources, transformations, and destinations. Modular extraction components cover tables, BAPIs, queries, reports, and BW cubes, while delta loading transfers only changed data instead of full tables for high performance at scale. Configuration happens through a UI without programming skills, with filters and conditions dynamically controlled via SSIS variables. Minimal to no changes are required on the SAP system, keeping risk and administrative effort low while developers keep working in their familiar SQL Server Data Tools (SSDT) environment. Learn more and try it for free: https://theobald-software.com/en/xtract-is

Xtract IS for Azure

Xtract IS for Azure extends Theobald Software's proven Xtract IS technology to the Microsoft Cloud, letting teams develop SSIS packages on-premises and then deploy, schedule, and run them on the Azure SSIS Integration Runtime. It reuses existing Xtract IS SSIS packages or supports building new ones from scratch, giving a smooth migration path for SAP data to the cloud. Developers keep working in SQL Server Data Tools (SSDT) to connect to one or more SAP systems, while administrators rely on familiar Microsoft tools to deploy and manage packages in Azure — with lower operational costs, high availability, and scalability. Minimal to no modification is required on the SAP side, and both bulk and incremental (delta) extraction are supported, giving developers full control over their SAP workloads while benefiting from the cloud. Learn more and try it for free: https://theobald-software.com/en/xtract-is-for-azure

Xtract Universal.iQ

Xtract Universal.iQ was designed for modern IT architectures, data-driven analytics, and AI scenarios. The platform reliably brings SAP data into on-prem, cloud, and hybrid environments and enables both targeted writing back into SAP and process integration. The no-code interface enables fast SAP data extraction without programming. Containerized, web-based, and cloud-ready, Xtract Universal.iQ integrates flexibly into existing data platforms and infrastructure concepts – while maintaining full control over data, deployment, and operations. It forms the foundation for sovereign data architectures and data sovereignty. An integrated, centralized metadata and terminology management system ensures structured SAP data extractions and reusable data products.