Logstash Alternatives

Improvado is an ETL solution that facilitates data pipeline automation for marketing teams without any technical skills required. This platform ensures data accuracy and transparency and supports marketers in making data-driven and informed decisions. It is a comprehensive solution to integrate marketing data across the organization. Improvado extracts data from a marketing data source, cleans, transforms, and normalizes it, and seamlessly loads the results into a marketing dashboard. Currently, it has more than 200 pre-built connectors. The Improvado team implements new connectors for their clients upon request. With Improvado, marketers can consolidate all marketing data in one place for better insights into how they’re doing across channels, analyze attribution models and detailed e-commerce insights, and get accurate ROMI data. Improvado is being used by companies like Asus, Gymshark, BayCare, Monster Energy, Illy, and other organizations from different industries as their marke

The best insights are based on the most complete, most accurate, and most timely data. Minitab Connect empowers data users from across the enterprise with self-serve tools to transform diverse data into a governed network of data pipelines, feed analytics initiatives and foster organization-wide collaboration. Users can effortlessly blend and explore data from databases, cloud and on-premise apps, unstructured data, spreadsheets, and more. Flexible, automated workflows accelerate every step of the data integration process, while powerful data preparation and visualization tools help yield transformative insights. Flexible, intuitive data integration tools let users connect and blend data from a variety of internal and external sources, like data warehouses, data lakes, IoT devices, SaaS applications, cloud storage, spreadsheets, and email.

Utilizing the data that's spread across your organization shouldn't be so difficult! With Zuar Runner you can automate the flow of data from hundreds of potential sources into a single destination. Collect, transform, model, warehouse, report, monitor and distribute: it's all managed by Zuar Runner. Pull data from Amazon/AWS products, Google products, Microsoft products, Avionte, Backblaze, BioTrackTHC, Box, Centro, Citrix, Coupa, DigitalOcean, Dropbox, CSV, Eventbrite, Facebook Ads, FTP, Firebase, Fullstory, GitHub, Hadoop, Hubic, Hubspot, IMAP, Jenzabar, Jira, JSON, Koofr, LeafLogix, Mailchimp, MariaDB, Marketo, MEGA, Metrc, OneDrive, MongoDB, MySQL, Netsuite, OpenDrive, Oracle, Paycom, pCloud, Pipedrive, PostgreSQL, put.io, Quickbooks, RingCentral, Salesforce, Seafile, Shopify, Skybox, Snowflake, Sugar CRM, SugarSync, Tableau, Tamarac, Tardigrade, Treez, Wurk, XML Tables, Yandex Disk, Zendesk, Zoho, and more!

Rivery’s SaaS ETL platform provides a fully-managed solution for data ingestion, transformation, orchestration, reverse ETL and more, with built-in support for your development and deployment lifecycles. Key Features: Data Workflow Templates: Extensive library of pre-built templates that enable teams to instantly create powerful data pipelines with the click of a button. Fully managed: No-code, auto-scalable, and hassle-free platform. Rivery takes care of the back end, allowing teams to spend time on priorities rather than maintenance. Multiple Environments: Construct and clone custom environments for specific teams or projects. Reverse ETL: Automatically send data from cloud warehouses to business applications, marketing clouds, CPD’s, and more.

Voracity is the only high-performance, all-in-one data management platform accelerating AND consolidating the key activities of data discovery, integration, migration, governance, and analytics. Voracity helps you control your data in every stage of the lifecycle, and extract maximum value from it. Only in Voracity can you: 1) CLASSIFY, profile and diagram enterprise data sources 2) Speed or LEAVE legacy sort and ETL tools 3) MIGRATE data to modernize and WRANGLE data to analyze 4) FIND PII everywhere and consistently MASK it for referential integrity 5) Score re-ID risk and ANONYMIZE quasi-identifiers 6) Create and manage DB subsets or intelligently synthesize TEST data 7) Package, protect and provision BIG data 8) Validate, scrub, enrich and unify data to improve its QUALITY 9) Manage metadata and MASTER data. Use Voracity to comply with data privacy laws, de-muck and govern the data lake, improve the reliability of your analytics, and create safe, smart test data

Composable is an enterprise-grade DataOps platform built for business users that want to architect data intelligence solutions and deliver operational data-driven products leveraging disparate data sources, live feeds, and event data regardless of the format or structure of the data. With a modern, intuitive dataflow visual designer, built-in services to facilitate data engineering, and a composable architecture that enables abstraction and integration of any software or analytical approach, Composable is the leading integrated development environment to discover, manage, transform and analyze enterprise data.

Cribl Stream allows you to implement an observability pipeline which helps you parse, restructure, and enrich data in flight - before you pay to analyze it. Get the right data, where you want, in the formats you need. Route data to the best tool for the job - or all the tools for the job - by translating and formatting data into any tooling schema you require. Let different departments choose different analytics environments without having to deploy new agents or forwarders. As much as 50% of log and metric data goes unused – null fields, duplicate data, and fields that offer zero analytical value. With Cribl Stream, you can trim wasted data streams and analyze only what you need. Cribl Stream is the best way to get multiple data formats into the tools you trust for your Security and IT efforts. Use the Cribl Stream universal receiver to collect from any machine data source - and even to schedule batch collection from REST APIs, Kinesis Firehose, Raw HTTP, and Microsoft Office 365 APIs

WHY DEVO Devo Data Analytics Platform. Achieve full visibility with centralized cloud-scale log management. Say goodbye to constraints and compromises. Say hello to the new generation of log management and analytics that powers operations teams. For machine data to improve visibility, transform the SOC, and achieve enterprise-wide business initiatives, you need to keep pace with the relentless real-time demands of exploding data volumes, while not breaking the bank. Massive scale, no ninjas required. Forget about re-architecting. Devo grows with your business, exceeding even the highest demands without requiring you to manage clusters and indexes or be confined by unreasonable limits. Onboard giant new datasets in a snap. Roll out access to hundreds of new users painlessly. Always meet your teams’ demands year after year, petabyte upon petabyte. Agile cloud-native SaaS. Lift-and-shift cloud architectures just don’t cut it. They’re afflicted with the same performance

Data is the key asset for every digital transformation initiative. Many projects fail because data availability and quality are assumed to be inherent. The crude reality, however, is that relevant data is usually hard, expensive and disruptive to acquire. Datumize Data Collector (DDC) is a multi-platform and lightweight middleware used to capture data from complex, often transient and/or legacy data sources. This kind of data ends up being mostly unexplored as there are no easy and convenient methods of access. DDC allows companies to capture data from a multitude of sources, supports comprehensive edge computation even including 3rd party software (eg AI models), and ingests the results into their preferred format and destination. DDC offers a feasible digital transformation project solution for business and operational data gathering.

BryteFlow builds the most efficient automated environments for analytics ever. It converts Amazon S3 into an awesome analytics platform by leveraging the AWS ecosystem intelligently to deliver data at lightning speeds. It complements AWS Lake Formation and automates the Modern Data Architecture providing performance and productivity. You can completely automate data ingestion with BryteFlow Ingest’s simple point-and-click interface while BryteFlow XL Ingest is great for the initial full ingest for very large datasets. No coding is needed! With BryteFlow Blend you can merge data from varied sources like Oracle, SQL Server, Salesforce and SAP etc. and transform it to make it ready for Analytics and Machine Learning. BryteFlow TruData reconciles the data at the destination with the source continually or at a frequency you select. If data is missing or incomplete you get an alert so you can fix the issue easily.

A single version of truth continues to elude the enterprise due to multiple information sources functioning in silos. The confusion arising from hundreds of point solutions has added complexity that needs to be simplified. You can focus on your business while we bring in the best available solutions and services to solve the data, AI and analytics puzzle. Out-of-the-box transformation accelerators for Teradata, Netezza, Ab Initio, Oracle and other legacy data warehouses. Assess legacy code and view transformed ETL, data warehouse and analytics. Ingestion, CDC, streaming analytics, ETL, data prep, ML, advanced analytics, and more. Build and deploy scalable data science and AI models across platforms leveraging multiple data sources. Build a scalable, secure, fast, and governed data lake with speed and agility. Leverage best practices and accelerators for cloud adoption, implementation and ROI.

Find out why the heavy hitters are using the Crux external data automation platform to scale external data integration, transformation, and observability without increasing headcount. Our cloud-native data integration technology accelerates the ingestion, preparation, observability and ongoing delivery of any external dataset. The result is that we can ensure you get quality data in the right place, in the right format when you need it. Leverage automatic schema detection, delivery schedule inference, and lifecycle management to build pipelines from any external data source quickly. Enhance discoverability throughout your organization through a private catalog of linked and matched data products. Enrich, validate, and transform any dataset to quickly combine it with other data sources and accelerate analytics.

Uncover insights to supercharge sales growth using code-free, fully-automated data pipelines to data lakes or cloud warehouses. A flexible, standards-based platform to unify sales and marketing data for automating insights and smarter growth. Say goodbye to messy, expensive manual data downloads. Always know what you’ll pay and only pay for what you use. Fuel your tools with quick access to analytics-ready data. As certified developers, we only work with secure, official APIs. Get started quickly with data pipelines from popular sources. Pre-built, pre-transformed, and ready-to-go data pipelines. Unlock data from Amazon Vendor Central, Amazon Seller Central, Instagram Stories, Facebook, Amazon Advertising, Google Ads, and many others. Code-free data ingestion and transformation processes allow teams to realize value from their data quickly and cost-effectively. Data is always securely stored directly in a trusted, customer-owned data destination like Databricks, Amazon Redshift, etc.

In a context where data is at the heart of organizations, data integration has become a key factor in the success of digital transformation. No digital transformation without movement or transformation of data. Organizations must meet several challenges. Be able to remove the silos in the information systems. Agile and fast processing of growing data volumes and very different types of information (structured, semi-structured or unstructured data) Manage massive loads as well as ingest the data in real-time (streaming), for the most relevant decisions. Control the infrastructure costs of the data. In this context, Stambia responds by providing a unified solution for any type of data processing, which can be deployed both in the cloud and on site, and which guarantees control and optimization of the costs of ownership and transformation of the data.

An AI-powered data management platform that enables true data democratization. Integrates & centralizes all data sources, facilitates collaboration, and empowers organizations for innovation, driven by Insights. SCIKIQ is a holistic business data platform that simplifies data complexities from business users through a no-code, drag-and-drop user interface which allows businesses to focus on driving value from data, thereby enabling them to grow, and make faster and smarter decisions with confidence. Use box integration, connect any data source, and ingest any structured and unstructured data. Build for business users, ease of use, a simple no-code platform, and use drag and drop to manage your data. Self-learning platform. Cloud agnostic, environment agnostic. Build on top of any data environment. SCIKIQ architecture is designed specifically to address the challenges facing the complex hybrid data landscape.

Talend Data Fabric’s suite of cloud services efficiently handles all your integration and integrity challenges — on-premises or in the cloud, any source, any endpoint. Deliver trusted data at the moment you need it — for every user, every time. Ingest and integrate data, applications, files, events and APIs from any source or endpoint to any location, on-premise and in the cloud, easier and faster with an intuitive interface and no coding. Embed quality into data management and guarantee ironclad regulatory compliance with a thoroughly collaborative, pervasive and cohesive approach to data governance. Make the most informed decisions based on high quality, trustworthy data derived from batch and real-time processing and bolstered with market-leading data cleaning and enrichment tools. Get more value from your data by making it available internally and externally. Extensive self-service capabilities make building APIs easy— improve customer engagement.

It unifies information across silos and scattered data for visibility across multiple sources in a single environment; whether in the cloud, spread across siloed databases, on instruments, in Big Data stores, or within various spreadsheets/documents, Enterprise Enabler can integrate all your data so you can make informed business decisions in real-time. By creating logical views of data from the original source locations. This means you can reuse, configure, test, deploy, and monitor all your data in a single integrated environment. Analyze your business data in one place as it is occurring to maximize the use of assets, minimize costs, and improve/refine your business processes. Our implementation time to market value is 50-90% faster. We get your sources connected and running so you can start making business decisions based on real-time data.

Data Bridge is Brave River’s ETL software (Extract, Transform, and Load) application that allows users to extract data from a source, then re-format and process that data before uploading it to the destination file. The Data Bridge's multi-step processing of data eliminates the added expense and errors associated with manual data entry. While ordinary ETL tools simply collect, format and deliver data, the Data Bridge also allows you to process and store that data, performing any number of transactions before loading. An unlimited number of transformation stages can be applied; resulting in perfectly formatted data throughout the entire ETL process.

Alooma enables data teams to have visibility and control. It brings data from your various data silos together into BigQuery, all in real time. Set up and flow data in minutes or customize, enrich, and transform data on the stream before it even hits the data warehouse. Never lose an event. Alooma's built in safety nets ensure easy error handling without pausing your pipeline. Any number of data sources, from low to high volume, Alooma’s infrastructure scales to your needs.

Power Query is the easiest way to connect, extract, transform and load data from a wide range of sources. Power Query is a data transformation and data preparation engine. Power Query comes with a graphical interface for getting data from sources and a Power Query Editor for applying transformations. Because the engine is available in many products and services, the destination where the data will be stored depends on where Power Query was used. Using Power Query, you can perform the extract, transform, and load (ETL) processing of data. Microsoft’s Data Connectivity and Data Preparation technology that lets you seamlessly access data stored in hundreds of sources and reshape it to fit your needs—all with an easy to use, engaging, no-code experience. Power Query supports hundreds of data sources with built-in connectors, generic interfaces (such as REST APIs, ODBC, OLE, DB and OData) and the Power Query SDK to build your own connectors.

Etlworks is a modern, cloud-first, any-to-any data integration platform that scales with the business. It can connect to business applications, databases, and structured, semi-structured, and unstructured data of any type, shape, and size. You can create, test, and schedule very complex data integration and automation scenarios and data integration APIs in no time, right in the browser, using an intuitive drag-and-drop interface, scripting languages, and SQL. Etlworks supports real-time change data capture (CDC) from all major databases, EDI transformations, and many other fundamental data integration tasks. Most importantly, it really works as advertised.

Etleap was built from the ground up on AWS to support Redshift and snowflake data warehouses and S3/Glue data lakes. Their solution simplifies and automates ETL by offering fully-managed ETL-as-a-service. Etleap's data wrangler and modeling tools let users control how data is transformed for analysis, without writing any code. Etleap monitors and maintains data pipelines for availability and completeness, eliminating the need for constant maintenance, and centralizes data from 50+ disparate sources and silos into your data warehouse or data lake.

Altova MapForce is an award-winning, graphical data mapping tool for any-to-any conversion and integration. Its powerful data mapping tools convert your data instantly and provide multiple options to automate recurrent transformations. Altova MapForce offers unparalleled power and flexibility for advanced data mapping, conversion, and transformation. The MapForce Platform is available at a fraction of the cost of big-iron data management products and is unencumbered by baggage like outdated design features inherent in other legacy products. The MapForce interface facilitates data integration with a graphical interface that includes many options for managing, visualizing, manipulating, and executing individual mappings and complex mapping projects. Use the design pane to graphically define mapping components, add functions and filters for data manipulation, and drag connectors to transform between source and target formats.

Aggregate disparate data at scale, reliably and accurately, to make better business decisions with Switchboard, a data engineering automation platform driven by business teams. Uncover timely insights and accurate forecasts. No more outdated manual reports and error-prone pivot tables that don’t scale. Directly pull and reconfigure data sources in the right formats in a no-code environment. Reduce your dependency on the engineering team. Automatic monitoring and backfilling make API outages, bad schemas, and missing data a thing of the past. Not a dumb API, but an ecosystem of pre-built connectors that are easily and quickly adapted to actively transform raw data into a strategic asset. Our team of experts has worked in data teams at Google and Facebook. We’ve automated those best practices to elevate your data game. A data engineering automation platform with authoring and workflow processes proven to scale with terabytes of data.

Learning code shouldn't be a roadblock to finding mission-critical information. Datawisp works by replacing code with visual blocks: simply pick a data source, transform it, and pick an output type. Our visual query builder lets you work with one or multiple data sets and format the results as a table or chart. In addition to our no-code query builder, Datawisp comes packed with features to help everyone on your team work effectively with data and drive your business forward. Datawisp sheets are easily sharable across teams, making it easy to collaborate in real-time with others. Our API lets you access any analysis from 3rd party websites and apps. Create an in-game leaderboard, export wallet addresses for a whitelist, and more!

The only all-in-one data pipeline platform. Built ground-up for a cloud-first world, Gathr is the only platform to handle all your data integration and engineering needs - ingestion, ETL, ELT, CDC, streaming analytics, data preparation, machine learning, advanced analytics and more. With Gathr, anyone can build and deploy pipelines in minutes, irrespective of skill levels. Create Ingestion pipelines in minutes, not weeks. Ingest data from any source, deliver to any destination. Build applications quickly with a wizard-based approach. Replicate data in real-time using a templatized CDC app. Native integration for all sources and targets. Best-in-class capabilities with everything you need to succeed today and tomorrow. Choose between free, pay-per-use or customize as per your requirements.

Ascend gives data teams a unified and automated platform to ingest, transform, and orchestrate their entire data engineering and analytics engineering workloads, 10X faster than ever before.​ Ascend helps gridlocked teams break through constraints to build, manage, and optimize the increasing number of data workloads required. Backed by DataAware intelligence, Ascend works continuously in the background to guarantee data integrity and optimize data workloads, reducing time spent on maintenance by up to 90%. Build, iterate on, and run data transformations easily with Ascend’s multi-language flex-code interface enabling the use of SQL, Python, Java, and, Scala interchangeably. Quickly view data lineage, data profiles, job and user logs, system health, and other critical workload metrics at a glance. Ascend delivers native connections to a growing library of common data sources with our Flex-Code data connectors.

Integrate data seamlessly from legacy systems into next-gen cloud and data platforms with one solution. Connect helps you take control of your data from mainframe to cloud. Integrate data through batch and real-time ingestion for advanced analytics, comprehensive machine learning and seamless data migration. Connect leverages the expertise Precisely has built over decades as a leader in mainframe sort and IBM i data availability and security to lead the industry in accessing and integrating complex data. Access to all your enterprise data for the most critical business projects is ensured by support for a wide range of sources and targets for all your ELT and CDC needs.

80% of enterprise data exists in difficult-to-use formats like HTML, PDF, CSV, PNG, PPTX, and more. Unstructured effortlessly extracts and transforms complex data for use with every major vector database and LLM framework. Unstructured allows data scientists to pre-process data at scale so they spend less time collecting and cleaning, and more time modeling and analyzing. Our enterprise-grade connectors capture data wherever it lives, so we can transform it into AI-friendly JSON files for companies who are eager to fold AI into their business. You can count on Unstructured to deliver data that's curated, clean of artifacts, and most importantly, LLM-ready.

Cloud to cloud and on premise to cloud data cleansing, migration, integration and reconciliation. Runs on OCI and offers secure connections to your Oracle Enterprise Applications on Cloud and on premise One platform for data & setup migrations, integrations, reconciliations, big data ingestions & archival 9000+ pre-built API templates and web services Data quality engine has pre-configured business rules to profile, clean, enrich & correct data Configurable, agile, and low code/no code Fully cloud-enabled so usage can be immediate Migration platform for migrating data into Oracle Cloud Applications, Oracle E-Business Suite, Oracle JD Edwards, Microsoft Dynamics, Oracle Peoplesoft and many other enterprise application environments, from any of above systems and many legacy applications. It is a robust and scalable Data Migration platform with a user-friendly interface. More than 3000+ Smart Data Adapters are available covering various Oracle Applications.

Save time & costs by streamlining data pipelines with zero-maintenance open source solutions. From ingestion to visualization, all are integrated, fully managed, and highly reliable, so your engineers will love working with data. You choose whether to use any of DoubleCloud’s managed open source services or leverage the full power of the platform, including data storage, orchestration, ELT, and real-time visualization. We provide leading open source services like ClickHouse, Kafka, and Airflow, with deployment on Amazon Web Services or Google Cloud. Our no-code ELT tool allows real-time data syncing between systems, fast, serverless, and seamlessly integrated with your existing infrastructure. With our managed open-source data visualization you can simply visualize your data in real time by building charts and dashboards. We’ve designed our platform to make the day-to-day life of engineers more convenient.

Build and orchestrate ETL pipelines with ease on Boltic. Extract, transform, and load data from multiple sources to any destination without writing code. Use advanced transformations and build end-to-end data pipelines for analytics-ready data. Integrate data from a list of 100+ pre-built Integrations and join multiple data sources together with a few clicks to work on the cloud. Add Boltic’s No-code transformation or use Script Engine to design custom scripts on integrated data for data exploration and cleansing. Invite team members to come together and solve organisation-wide problems faster by working on a secure cloud data operations platform. Schedule ETL pipelines to run automatically at pre-defined time intervals to make importing, cleaning, transforming, storing, and sharing data easier. Track and analyze key metrics of business with the help of AI & ML. Gain insights into business and monitor for potential issues or opportunities.

Open core, delivering hybrid and multi-cloud integration. Data Fusion is built using open source project CDAP, and this open core ensures data pipeline portability for users. CDAP’s broad integration with on-premises and public cloud platforms gives Cloud Data Fusion users the ability to break down silos and deliver insights that were previously inaccessible. Integrated with Google’s industry-leading big data tools. Data Fusion’s integration with Google Cloud simplifies data security and ensures data is immediately available for analysis. Whether you’re curating a data lake with Cloud Storage and Dataproc, moving data into BigQuery for data warehousing, or transforming data to land it in a relational store like Cloud Spanner, Cloud Data Fusion’s integration makes development and iteration fast and easy.

AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. AWS Data Pipeline helps you easily create complex data processing workloads that are fault tolerant, repeatable, and highly available. You don’t have to worry about ensuring resource availability, managing inter-task dependencies, retrying transient failures or timeouts in individual tasks, or creating a failure notification system. AWS Data Pipeline also allows you to move and process data that was previously locked up in on-premises data silos.

Blendo is the leading ETL and ELT data integration tool to dramatically simplify how you connect data sources to databases. With natively built data connection types supported, Blendo makes the extract, load, transform (ETL) process a breeze. Automate data management and data transformation to get to BI insights faster. Data analysis doesn’t have to be a data warehousing, data management, or data integration problem. Automate and sync your data from any SaaS application into your data warehouse. Just use ready-made connectors to connect to any data source, simple as a login process, and your data will start syncing right away. No more integrations to built, data to export or scripts to build. Save hours and unlock insights into your business. Accelerate your exploration to insights time, with reliable data, analytics-ready tables and schemas, created and optimized for analysis with any BI software.

Traditional data analytics solutions tend to be static and tabular, failing to capture the evolution of complex data relationships. By connecting the dots between data from disparate sources, Gemini Data helps organizations effectively transform data into stories. Gemini Explore transforms data analytics by enabling anyone to easily and intuitively interact with data using contextual storytelling. It’s all about simplifying and making it easier to see, understand, and communicate the complex – so people can learn faster and do their jobs better. Gemini Stream allows organizations to seamlessly collect, reduce, transform, parse, and route machine data from and to the most common Big Data platforms, using a single interface. Gemini Central provides state-of-the-art turnkey solution for your analytics needs as it is integrated and pre-configured with a lightweight OS and other management tools and applications.

Unify all your data in one hub with 100+ built-in and universal API data connectors. Make them accessible to your whole team. Transform data with simple points and clicks. Build robust data pipelines with built-in data manipulation tools and automated schedulers. Save hours spent on sending your data somewhere manually. Use Workflow to automate the process from databases to BI tools, from apps to databases. A full suite of data cleaning and transformation tools is available in the no-code format, eliminating the need to write complex expressions or code. Data is only useful when insights are drawn. Upgrade your database to an analytical engine with native cloud-based BI tools. No connectors are needed, all data projects on Acho can be analyzed and visualized on our Visual Panel off the shelf, at a blazing-fast speed too.

DataOps ETL Validator is the most comprehensive data validation and ETL testing automation tool. Comprehensive ETL/ELT validation tool to automate the testing of data migration and data warehouse projects with easy-to-use low-code, no-code component-based test creation and drag-and-drop user interface. ETL process involves extracting data from various sources, transforming it to fit operational needs, and loading it into a target database or data warehouse. ETL testing involves verifying the accuracy, integrity, and completeness of data as it moves through the ETL process to ensure it meets business rules and requirements. Automating ETL testing can be achieved using tools that automate data comparison, validation, and transformation tests, significantly speeding up the testing cycle and reducing manual labor. ETL Validator automates ETL testing by providing intuitive interfaces for creating test cases without extensive coding.

Unify data from 100+ sources so your team can deliver better insights, rapidly. Sync data from any data warehouse into business tools your teams prefer. Efficiently scale data ops using a single platform custom-built for all requirements of your data teams and save up to 75% of your costs. Don't want the hassle of managing a data warehouse? We are the only platform that offers an integrated managed data warehouse to meet all your data management needs. Select from a growing library of 100+ fully managed connectors and 20+ destinations - SaaS apps, databases, data warehouses, and more. Completely secure granular control over what data to move. Schedule and transform your data for analytics seamlessly in sync with your pipelines.

What is CoSort? IRI CoSort® is a fast, affordable, and easy-to-use sort/merge/report utility, and a full-featured data transformation and preparation package. The world's first sort product off the mainframe, CoSort continues to deliver maximum price-performance and functional versatility for the manipulation and blending of big data sources. CoSort also powers the IRI Voracity data management platform and many third-party tools. What does CoSort do? CoSort runs multi-threaded sort/merge jobs AND many other high-volume (big data) manipulations separately, or in combination. It can also cleanse, mask, convert, and report at the same time. Self-documenting 4GL scripts supported in Eclipse™ help you speed or leave legacy: sort, ETL and BI tools; COBOL and SQL programs, plus Hadoop, Perl, Python, and other batch jobs. Use CoSort to sort, join, aggregate, and load 2-20X faster than data wrangling and BI tools, 10x faster than SQL transforms, and 6x faster than most ETL tools.

Stop wasting time managing your own integrations or fighting the limitations of black-box "solutions". Instantly use data from any source in your app, in the format that works best for you. 500+ API & DB sources, connector SDK, OAuth flows, flexible data models, instant vector embeddings, managed transactional & analytical storage, and instant SQL, REST & GraphQL APIs. Arch lets you build AI-powered features on top of your customer’s data without having to worry about building and maintaining bespoke data infrastructure just to reliably access that data.

DatErica: Revolutionizing Data Processing DatErica is a cutting-edge data processing platform designed to automate and streamline data operations. Leveraging a robust technology stack including Node.js and microservice architecture, it provides scalable and flexible solutions for complex data needs. The platform offers advanced ETL capabilities, seamless data integration from various sources, and secure data warehousing. DatErica's AI-powered tools enable sophisticated data transformation and validation, ensuring accuracy and consistency. With real-time analytics, customizable dashboards, and automated reporting, users gain valuable insights for informed decision-making. The user-friendly interface simplifies workflow management, while real-time monitoring and alerts enhance operational efficiency. DatErica is ideal for data engineers, analysts, IT teams, and businesses seeking to optimize their data processes and drive growth.

The elegant import button for your web app. The drop-in data importer that implements in hours, not weeks. Give your users the import experience you always dreamed of, but never had time to build. Flatfile’s JavaScript configurator allows you to set a target model for data validation, allowing users to match incoming file data. Flatfile learns over time how data should be organized, saving time and making the process more efficient for your customers. Flatfile’s validation features give you control over how data is formatted. Ensure imported data is clean and ready to use. Try the import flow with our file in a custom configuration. Complete the demo in the admin dashboard to view import analytics. The Flatfile importer automatically translates to your customer's chosen system language. Advanced functions for in-line data validation and transformation. Allow data to be uploaded using a CSV, XLS, or even manual pasting from the user's clipboard.

Many people use Excel, or VBA/Python scripts, or SQL queries for data preparation because they are not aware of better alternatives. EasyMorph is a purpose-built application with more than 150 built-in actions for fast and visual data transformation and automation without coding. With EasyMorph, you can walk away from obscure scripts and cumbersome spreadsheets, and bring your productivity to a whole new level. Retrieve data from databases, spreadsheets, emails and email attachments, text files, remote folders, corporate and cloud applications (e.g. SharePoint), and web (REST) APIs without programming. Use visual queries and tools to filter and extract exactly the data you need without asking the IT guys. Automate your routine operations with files, spreadsheets, websites and emails without writing a single line of code. Replace tedious repetitive tasks with a single button click.

Save hours developing and maintaining ETL/ELT data pipelines in an easy-to-use environment made for effortless debugging. Visualize changes pre-deployment to ease dev processes, expedite testing, and simplify debugging. Foster team collaboration and save time on the most painful development stages by working with Python and our easy-to-use interface. Consolidate any amount of data, in any format and from endless sources with zero data storing processing hesitations. Guarantee the most accurate data with error flagging and real-time debugging within specific data processes and across pipelines in their entirety. Utilize compute, storage, and network bandwidth to efficiently auto-scale your infrastructure as data volume and velocity increase. Identify and pinpoint issues with real-time data observability tools, zoom in, and troubleshoot data pipelines thoroughly and accurately.

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.

Qlik Compose for Data Warehouses (formerly Attunity Compose for Data Warehouses) provides a modern approach by automating and optimizing data warehouse creation and operation. Qlik Compose automates designing the warehouse, generating ETL code, and quickly applying updates, all whilst leveraging best practices and proven design patterns. Qlik Compose for Data Warehouses dramatically reduces the time, cost and risk of BI projects, whether on-premises or in the cloud. Qlik Compose for Data Lakes (formerly Attunity Compose for Data Lakes) automates your data pipelines to create analytics-ready data sets. By automating data ingestion, schema creation, and continual updates, organizations realize faster time-to-value from their existing data lake investments.

HighByte Intelligence Hub is the first DataOps solution purpose-built for industrial data. It provides manufacturers with a low-code software solution to accelerate and scale the usage of operational data throughout the extended enterprise by contextualizing, standardizing, and securing this valuable information. HighByte Intelligence Hub runs at the Edge, scales from embedded to server-grade computing platforms, connects devices and applications via a wide range of open standards and native connections, processes streaming data through standard models, and delivers contextualized and correlated information to the applications that require it. Use HighByte Intelligence Hub to reduce system integration time from months to hours, accelerate data curation and preparation for AI and ML applications, improve system-wide security and data governance, and reduce Cloud ingest, processing, and storage costs and complexity. Build a digital infrastructure that is ready for scale.

BigBI enables data specialists to build their own powerful big data pipelines interactively & efficiently, without any coding! BigBI unleashes the power of Apache Spark enabling: Scalable processing of real Big Data (up to 100X faster) Integration of traditional data (SQL, batch files) with modern data sources including semi-structured (JSON, NoSQL DBs, Elastic, Hadoop), and unstructured (Text, Audio, video), Integration of streaming data, cloud data, AI/ML & graphs

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.