Best Free Data Integration Tools

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Twilio Segment’s Customer Data Platform (CDP) provides companies with the data foundation that they need to put their customers at the heart of every decision. Per IDC, it’s the #1 CDP in worldwide market share four years in a row (2019-2022). Using Twilio Segment, companies can collect, unify and route their customer data into any system where it’s needed to better understand their customers and create seamless, compelling experiences in real-time. Over 25,000 companies use Twilio Segment to make real-time decisions, accelerate growth and deliver world-class customer experiences.

TimeXtender is the holistic solution for data integration. TimeXtender provides all the features you need to build a future-proof data infrastructure capable of ingesting, transforming, modeling, and delivering clean, reliable data in the fastest, most efficient way possible - all within a single, low-code user interface. You can't optimize for everything all at once. That's why we take a holistic approach to data integration that optimizes for agility, not fragmentation. By using metadata to unify each layer of the data stack and automate manual processes, TimeXtender empowers you to build data solutions 10x faster, while reducing your costs by 70%-80%. We do this for one simple reason: because time matters.

Start integrating your apps with clicks, not code. Prebuilt templates and an easy-to-use interface will have you up and running within an hour. DBSync Cloud Workflow has a robust integration platform that can be run on SaaS-based or on cloud. DBSync Cloud Workflow can be integrated into an API interface, laptops or desktops and mobile phones or tablets which facilitates ease for the user. Connect to Apps CRM's, Accounting systems, Popular Databases, Big Data like Cassandra, Hive, and more. We integrate any connectors easily by custom workflow. Leverage out-of-the-box integration Maps and Processes for common use cases of CRM to Accounting integration, Data replication and more. Use as is or extend to fit your needs. Develop, manage and automate business complex processes into simple workflows. Support for newer archiving technologies like Cassandra, Hive, Amazon RedShift, and more.

Flip, Kanerika's AI-powered Data Operations Platform, simplifies the complexity of data transformation with its low-code/no-code approach. Designed to help organizations build data pipelines seamlessly, Flip offers flexible deployment options, a user-friendly interface, and a cost-effective pay-per-use pricing model. Empowering businesses to modernize their IT strategies, Flip accelerates data processing and automation, unlocking actionable insights faster. Whether you aim to streamline workflows, enhance decision-making, or stay competitive, Flip ensures your data works harder for you in today’s dynamic landscape.

Anypoint Platform by MuleSoft is a complete hybrid enterprise integration platform for SOA, SaaS, and APIs. With AnyPoint, developers can access a wide range of tools that enables them to design, build, and manage the entire lifecycle of their APIs, applications and products. Anypoint Platform is built with open technologies, with Mule as its core runtime engine.

Stitch is a cloud-based platform for ETL – extract, transform, and load. More than a thousand companies use Stitch to move billions of records every day from SaaS applications and databases into data warehouses and data lakes.

IBM® StreamSets enables users to create and manage smart streaming data pipelines through an intuitive graphical interface, facilitating seamless data integration across hybrid and multicloud environments. This is why leading global companies rely on IBM StreamSets to support millions of data pipelines for modern analytics, intelligent applications and hybrid integration. Decrease data staleness and enable real-time data at scale—handling millions of records of data, across thousands of pipelines within seconds. Insulate data pipelines from change and unexpected shifts with drag-and-drop, prebuilt processors designed to automatically identify and adapt to data drift. Create streaming pipelines to ingest structured, semistructured or unstructured data and deliver it to a wide range of destinations.

Always have the right data at the right place for the right cost. Store, protect, and manage your critical data with Tiger Bridge​. Tiger Bridge connects your data stored locally with cloud/tape/disk storage while preserving its native, non-proprietary format to ensure transparent access. Tiger Bridge is a software-only solution, no additional hardware or virtual appliances are required. Install & configuration take minutes and setting policies is straightforward. Tiger Bridge integrates at the level of your file system and/or network share. While your team is working, policies operate transparently in the background to replicate your data to your storage of choice. Optimize your investment in​ hardware through storage extension to the cloud based on a pay-as-you-go model. Designed to handle data sets of any size and optimize storage set-ups for the most demanding workflows, from post-production studios, and civil engineering companies to large medical facilities.

The Stackable data platform was designed with openness and flexibility in mind. It provides you with a curated selection of the best open source data apps like Apache Kafka, Apache Druid, Trino, and Apache Spark. While other current offerings either push their proprietary solutions or deepen vendor lock-in, Stackable takes a different approach. All data apps work together seamlessly and can be added or removed in no time. Based on Kubernetes, it runs everywhere, on-prem or in the cloud. stackablectl and a Kubernetes cluster are all you need to run your first stackable data platform. Within minutes, you will be ready to start working with your data. Configure your one-line startup command right here. Similar to kubectl, stackablectl is designed to easily interface with the Stackable Data Platform. Use the command line utility to deploy and manage stackable data apps on Kubernetes. With stackablectl, you can create, delete, and update components.

Impowr is a Salesforce-native data import solution that simplifies and secures the process of importing data into Salesforce CRM. Designed to empower both internal teams and external users, Impowr offers a self-service interface that allows users to upload data files with ease, utilizing predefined import schemas to ensure consistency and accuracy. It supports common file types and integrates seamlessly with Salesforce Experience Cloud, enabling organizations to embed the import component directly into their digital experiences. Administrators maintain control through robust role-based access controls, ensuring that users can only access and import data they are authorized to handle. Impowr respects Salesforce’s CRUD (Create, Read, Update, Delete) and FLS (Field-Level Security) permissions, providing a secure and compliant environment for data management.

Keboola is a serverless integration Hub for data/people and AI models. We provide a cloud-based data integration platform that is designed to support the entire workflow from data extraction, cleaning, warehousing, enrichment, to ML based predictions and loading. The whole platform is highly collaborative and solves the biggest hurdles of "IT" based solutions. Our seamless one click UI will take even the novice business users from data acquisition to building model in Python in a matter of minutes. Try us out! You will love the experience :)

MetaRouter collects user events from a website or app and routes them to any third-party tool, including centralizing data in one place for storage and in-depth analysis. It can be set up with a single snippet (using analytics.js) so that, after the initial event tracking setup, marketers can add and remove tools through a UI, without requiring additional dev time.

Upsolver makes it incredibly simple to build a governed data lake and to manage, integrate and prepare streaming data for analysis. Define pipelines using only SQL on auto-generated schema-on-read. Easy visual IDE to accelerate building pipelines. Add Upserts and Deletes to data lake tables. Blend streaming and large-scale batch data. Automated schema evolution and reprocessing from previous state. Automatic orchestration of pipelines (no DAGs). Fully-managed execution at scale. Strong consistency guarantee over object storage. Near-zero maintenance overhead for analytics-ready data. Built-in hygiene for data lake tables including columnar formats, partitioning, compaction and vacuuming. 100,000 events per second (billions daily) at low cost. Continuous lock-free compaction to avoid “small files” problem. Parquet-based tables for fast queries.

Estuary Flow is a new kind of DataOps platform that empowers engineering teams to build real-time, data-intensive applications at scale with minimal friction. This platform unifies a team’s databases, pub/sub systems, and SaaS around their data, without requiring new investments in infrastructure or development.