Dropbase Alternatives

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.

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.

Fivetran is the smartest way to replicate data into your warehouse. We've built the only zero-maintenance pipeline, turning months of on-going development into a 5-minute setup. Our connectors bring data from applications and databases into one central location so that analysts can unlock profound insights about their business. Schema designs and ERDs make synced data immediately usable. Transform data into analytics-ready tables as soon as it’s loaded into your warehouse. Spend less time writing transformation code with our out-of-the-box data modeling. Connect to any git repository and manage dbt models directly from Fivetran. Develop and deliver your product with the utmost confidence in ours. Uptime and data delivery guarantees ensure your customers’ data never goes stale. Troubleshoot fast with a global team of Support Specialists.

QuerySurge leverages AI to automate the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Apps/ERPs with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Hadoop & NoSQL Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise App/ERP Testing QuerySurge Features - Projects: Multi-project support - AI: automatically create datas validation tests based on data mappings - Smart Query Wizards: Create tests visually, without writing SQL - Data Quality at Speed: Automate the launch, execution, comparison & see results quickly - Test across 200+ platforms: Data Warehouses, Hadoop & NoSQL lakes, databases, flat files, XML, JSON, BI Reports - DevOps for Data & Continuous Testing: RESTful API with 60+ calls & integration with all mainstream solutions - Data Analytics & Data Intelligence:  Analytics dashboard & reports

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.

Panoply brings together a managed data warehouse with included, pre-built ELT data connectors, making it the easiest way to store, sync, and access all your business data. Our cloud data warehouse (built on Redshift or BigQuery), along with built-in data integrations to all major CRMs, databases, file systems, ad networks, web analytics tools, and more, will have you accessing usable data in less time, with a lower total cost of ownership. One platform with one easy price is all you need to get your business data up and running today. Panoply gives you unlimited access to data sources with prebuilt Snap Connectors and a Flex Connector that can bring in data from nearly any RestAPI. Panoply can be set up in minutes, requires zero ongoing maintenance, and provides online support including access to experienced data architects.

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.

Data integration, backup, management, and connectivity. 100 % cloud based platform that offers contemporary cloud agility and scalability, eliminating the need of deployment or manual upgrades. No coding wizard-based solution that meets the needs of both IT professionals and business users with no technical skills. With flexible pricing plans for each product, Skyvia suites for businesses of any size, from a small startup to an enterprise company. Connect your cloud, on-premise, and flat data to automate workflows. Automate data collection from disparate cloud sources to a database or data warehouse. Transfer your business data between cloud apps automatically in just a few clicks. Protect all your cloud data and keep it secure in one place. Share data in real time via REST API to connect with multiple OData consumers. Query and manage any data from the browser via SQL or intuitive visual Query Builder.

In-Memory Computing Platform. The digital world is different. Microseconds matter. That's why the world's largest organizations rely on us to power their most time-sensitive applications at scale. New data-enabled applications can deliver transformative business power – if they meet today’s requirement of immediacy. Hazelcast solutions complement virtually any database to deliver results that are significantly faster than a traditional system of record. Hazelcast’s distributed architecture provides redundancy for continuous cluster up-time and always available data to serve the most demanding applications. Capacity grows elastically with demand, without compromising performance or availability. The fastest in-memory data grid, combined with third-generation high-speed event processing, delivered through the cloud.

Whether you want to build a governed delta lake, data warehouse, or simply want to migrate from your traditional database to a modern cloud data warehouse, do it all with Lyftrondata. Simply create and manage all of your data workloads on one platform by automatically building your pipeline and warehouse. Analyze it instantly with ANSI SQL, BI/ML tools, and share it without worrying about writing any custom code. Boost the productivity of your data professionals and shorten your time to value. Define, categorize, and find all data sets in one place. Share these data sets with other experts with zero codings and drive data-driven insights. This data sharing ability is perfect for companies that want to store their data once, share it with other experts, and use it multiple times, now and in the future. Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse.

With Osmos, your customers can easily clean their messy data files and import them directly into your operational system without writing a line of code. At the core, we have an AI-powered data transformation engine that enables users to map, validate, and clean data with only a few clicks. Your account will be charged or credited based on the percentage of the billing cycle left at the time the plan was changed. An eCommerce company automates ingestion of product catalog data from multiple distributors and vendors into their database. A manufacturing company automates the data ingestion of purchase orders from email attachments into Netsuite. Automatically clean up and reformat incoming data to match your destination schema. Never deal with custom scripts and spreadsheets again.

Ingest, prepare, and process data pipelines at scale for AI and analytics in the cloud. Informatica’s comprehensive data engineering portfolio provides everything you need to process and prepare big data engineering workloads to fuel AI and analytics: robust data integration, data quality, streaming, masking, and data preparation capabilities. Rapidly build intelligent data pipelines with CLAIRE®-powered automation, including automatic change data capture (CDC) Ingest thousands of databases and millions of files, and streaming events. Accelerate time-to-value ROI with self-service access to trusted, high-quality data. Get unbiased, real-world insights on Informatica data engineering solutions from peers you trust. Reference architectures for sustainable data engineering solutions. AI-powered data engineering in the cloud delivers the trusted, high quality data your analysts and data scientists need to transform business.

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.

Stripe Data Pipeline sends all your up-to-date Stripe data and reports to Snowflake or Amazon Redshift in a few clicks. Centralize your Stripe data with other business data to close your books faster and unlock richer business insights. Set up Stripe Data Pipeline in minutes and automatically receive your Stripe data and reports in your data warehouse on an ongoing basis–no code required. Create a single source of truth to speed up your financial close and access better insights. Identify your best-performing payment methods, analyze fraud by location, and more. Send your Stripe data directly to your data warehouse without involving a third-party extract, transform, and load (ETL) pipeline. Offload ongoing maintenance with a pipeline that’s built into Stripe. No matter how much data you have, your data is always complete and accurate. Automate data delivery at scale, minimize security risks, and avoid data outages and delays.

Improving the experience, efficiency, and profitability of streaming video requires data. Datazoom enables video publishers to better operate distributed architectures through centralizing, standardizing, and integrating data in real-time to create a more powerful data pipeline and improve observability, adaptability, and optimization solutions. Datazoom is a video data platform that continually gathers data from endpoints, like a CDN or a video player, through an ecosystem of collectors. Once the data is gathered, it is normalized using standardized data definitions. This data is then sent through available connectors to analytics platforms like Google BigQuery, Google Analytics, and Splunk and can be visualized in tools such as Looker and Superset. Datazoom is your key to a more effective and efficient data pipeline. Get the data you need in real-time. Don’t wait for your data when you need to resolve an issue immediately.

Microservice-based streaming and batch data processing for Cloud Foundry and Kubernetes. Spring Cloud Data Flow provides tools to create complex topologies for streaming and batch data pipelines. The data pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a range of data processing use cases, from ETL to import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy data pipelines made of Spring Cloud Stream or Spring Cloud Task applications onto modern platforms such as Cloud Foundry and Kubernetes. A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation. Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model.

Tarsal's infinite scalability means as your organization grows, Tarsal grows with you. Tarsal makes it easy for you to switch where you're sending data - today's SIEM data is tomorrow's data lake data; all with one click. Keep your SIEM and gradually migrate analytics over to a data lake. You don't have to rip anything out to use Tarsal. Some analytics just won't run on your SIEM. Use Tarsal to have query-ready data on a data lake. Your SIEM is one of the biggest line items in your budget. Use Tarsal to send some of that data to your data lake. Tarsal is the first highly scalable ETL data pipeline built for security teams. Easily exfil terabytes of data in just just a few clicks, with instant normalization, and route that data to your desired destination.

Use cutting-edge data science tools to transform your business outcomes. SynctacticAI crafts a successful adventure out of your business by leveraging advanced data science tools, algorithms and systems to extract knowledge and insights from any structured and unstructured sets of data. Discover your data in any form – structure or unstructured and batch or real-time.Sync Discover is a key feature to discover a relevant piece of data and organizing the large pool of data in a systematic manner. Process your data at scale with Sync Data. Enabled with a simple navigation interface like drag and drop, you can smoothly configure your data pipelines and process data manually or at predetermined schedules. With the power of machine learning, the process of learning from data becomes effortless. Simply select the target variable, feature, and any of our pre-built models – rest is automatically taken care of by Sync Learn.

The fastest way to prep data and build data pipelines in the cloud. Trifacta provides visual and intelligent guidance to accelerate data preparation so you can get to insights faster. Poor data quality can sink any analytics project. Trifacta helps you understand your data so you can quickly and accurately clean it up. All the power with none of the code. Trifacta provides visual and intelligent guidance so you can get to insights faster. Manual, repetitive data preparation processes don’t scale. Trifacta helps you build, deploy and manage self-service data pipelines in minutes not months.

Unify Your Data Stack: Experience the first no-code data pipeline platform and power enlightened decision making. Integrate.io is the only complete set of data solutions & connectors for easy building and managing of clean, secure data pipelines. Increase your data team's output with all of the simple, powerful tools & connectors you’ll ever need in one no-code data integration platform. Empower any size team to consistently deliver projects on-time & under budget. We ensure your success by partnering with you to truly understand your needs & desired outcomes. Our only goal is to help you overachieve yours. Integrate.io's Platform includes: -No-Code ETL & Reverse ETL: Drag & drop no-code data pipelines with 220+ out-of-the-box data transformations -Easy ELT & CDC :The Fastest Data Replication On The Market -Automated API Generation: Build Automated, Secure APIs in Minutes - Data Warehouse Monitoring: Finally Understand Your Warehouse Spend - FREE Data Observability: Custom

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

Microsoft Graph is your organization's gateway to Microsoft 365 data for productivity, identity, and security. Microsoft Graph Data Connect enables developers to copy select Microsoft 365 datasets into Azure data stores in a secure and scalable way. It's ideal for training machine learning and AI models that uncover rich organizational insights and deliver new value to analytics solutions. Copy data at scale from a Microsoft 365 tenant and move it directly into Azure Data Factory without writing code. Get the data you need, delivered to your application on a repeatable schedule, in just a few simple steps. Control how your organization's data is accessed with the Microsoft Graph Data Connect granular consent model. It requires that developers specify exactly what types of data or filter content their application will access. Likewise, administrators must give explicit approval to access Microsoft 365 data before access is granted.

Automate your business pipeline with our flow builder. Use operations that matters to you. Bring your own service providers for email, sms and http services. Use our advanced query builder to query and analyze csv with any field numbers and rows. We store the csv files you've uploaded on our platform in a secured vault and account activity logs. We don't store any data records you request for processing.

SlashDB automatically generates a REST API from relational databases for reading and writing in convenient formats like XML, JSON and CSV. Additionally, using HTML it allows for simply browsing through data so users can discover available databases, tables, queries and API endpoints. SlashDB is capable of providing a central access point to multiple databases, effectively forming an all-encompassing resource-oriented architecture (ROA), serving as an API gateway to the data for users that need access. SlashDB provides a web service shell for each of your database(s) by translating relational database structures into a logical library of uniform resource locators (URL). Conforming to REST methodology, every piece of data has its own unique identifying URL regardless of whether it is a simple scalar value or a nested structure of related records.

Connecting systems to scale AI initiatives is complex, expensive, and prone to fail. Pandio’s cloud-native managed solution simplifies your data pipelines to harness the power of AI. Access your data from anywhere at any time in order to query, analyze, and drive to insight. Big data analytics without the big cost. Enable data movement seamlessly. Streaming, queuing and pub-sub with unmatched throughput, latency, and durability. Design, train, and deploy machine learning models locally in less than 30 minutes. Accelerate your path to ML and democratize the process across your organization. And it doesn’t require months (or years) of disappointment. Pandio’s AI-driven architecture automatically orchestrates your models, data, and ML tools. Pandio works with your existing stack to accelerate your ML initiatives. Orchestrate your models and messages across your organization.

Create new streams of revenue using the data you already collect with your own branded data shop. Narrative is focused on the fundamental principles that make buying and selling data easier, safer, and more strategic. Ensure that the data you access meets your standards, whatever they may be. Know exactly who you’re working with and how the data was collected. Easily access new supply and demand for a more agile and accessible data strategy. Own your data strategy entirely with end-to-end control of inputs and outputs. Our platform simplifies and automates the most time- and labor-intensive aspects of data acquisition, so you can access new data sources in days, not months. With filters, budget controls, and automatic deduplication, you’ll only ever pay for the data you need, and nothing that you don’t.

SQL Manager for PostgreSQL provides a set of easy-to-use visual editors for any database or server objects. You can create complex queries visually or use editor tool with code completion, code folding, formatting and many other useful features. You can adjust editor view to meet your requirements. Query results can be easily exported to any format. Manipulate data with filters, grouping, sorting and sub-levels, view it as JSON, Image or XML and export it into any of popular formats, including XLSX, CSV, TXT, XML, SQL and more. Advanced import from MS Excel, MS Access, DBF, XML, ODF, TXT, CSV, etc. with selecting the method of adding data to the already existing tables, as well as processing or replacing of inserted data. Data export into a variety of popular formats: MS Excel, MS Word, MS Access, HTML, PDF, TXT, CSV, DBF, XML, ODF and more with flexible setting for the result data view.

CData Sync is a universal data pipeline that delivers automated continuous replication between hundreds of SaaS applications & cloud data sources and any major database or data warehouse, on-premise or in the cloud. Replicate data from hundreds of cloud data sources to popular database destinations, such as SQL Server, Redshift, S3, Snowflake, BigQuery, and more. Configuring replication is easy: login, select the data tables to replicate, and select a replication interval. Done. CData Sync extracts data iteratively, causing minimal impact on operational systems by only querying and updating data that has been added or changed since the last update. CData Sync offers the utmost flexibility across full and partial replication scenarios and ensures that critical data is stored safely in your database of choice. Download a 30-day free trial of the Sync application or request more information at www.cdata.com/sync

AnySQL Maestro is the premier multi-purpose admin tool for database management, control and development. SQL Maestro Group offers complete database management and web development solutions for all the most popular database servers providing the highest performance, scalability and reliability to meet the requirements of today's database applications. Support of any database engine (SQL Server, MySQL, Access, etc.) Database designer, data management, editing, grouping, sorting and filtering abilities. Handy SQL Editor with code folding and multi-threading. Visual query builder, data export/import to/from the most popular formats. Powerful BLOB viewer/editor. The application also provides you with a powerful set of tools to edit and execute SQL scripts, build visual diagrams for numeric data, compose OLAP cubes, and much more. High-quality DB2 tools which are as easy in use as Windows explorer.

Gravity's mission is to make streaming data easy from over 100 sources while only paying for what you use. Gravity removes the reliance on engineering teams to deliver streaming pipelines with a simple interface to get streaming up and running in minutes from databases, event data and APIs. Everyone in the data team can now build with simple point and click so that you can focus on building apps, services and customer experiences. Full Execution trace and detailed error messaging for quick diagnosis and resolution. We have implemented new, feature-rich ways for you to quickly get started. From bulk set-up, default schemas and data selection to different job modes and statuses. Spend less time wrangling with infrastructure and more time analysing data while allowing our intelligent engine to keep your pipelines running. Gravity integrates with your systems for notifications and orchestration.

Organizations continuously strive to be more data-driven, building dashboards, analytics, and data pipelines across the modern data stack. Unfortunately, most organizations struggle with data reliability issues leading to poor business decisions and lack of trust in data as an organization, directly impacting their bottom line. Resolving complex data issues is a manual and time-consuming process involving multiple teams all relying on tribal knowledge to manually reverse engineer complex data pipelines across different platforms to identify root-cause and understand the impact. Pantomath is a data pipeline observability and traceability platform for automating data operations. It continuously monitors datasets and jobs across the enterprise data ecosystem providing context to complex data pipelines by creating automated cross-platform technical pipeline lineage.

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.

Get all your ELT data pipelines running in minutes, even your custom ones. Let your team focus on insights and innovation. Unify your data integration pipelines in one open-source ELT platform. Airbyte addresses all your data team's connector needs, however custom they are and whatever your scale. The data integration platform that can scale with your custom or high-volume needs. From high-volume databases to the long tail of API sources. Leverage Airbyte’s long tail of high-quality connectors that adapt to schema and API changes. Extensible to unify all native & custom ELT. Edit pre-built open-source connectors, or build new ones with our connector development kit in a few hours. Transparent and scalable pricing. Finally, a transparent and predictable cost-based pricing that scales with your data needs. You don’t need to worry about volume anymore. No more need for custom systems for your in-house scripts or database replication.

Make use of Reactive Programming on the back-end without the need for specialized languages or cumbersome frameworks. Triggers, Actors and Event Collections make it easy to build data pipelines and work with data streams using simple SQL-like syntax, shielding users from the complexities of distributed system development. Extensible Data Modeling is a key feature that supports rich semantics and schema definition for representing real-world things. On-the-fly validation and data shaping rules support a variey of formats like XML and JSON, allowing you to easily describe and evolve your schema, keeping pace with changing business requirements. If you can describe it, we can query it. Know SQL and Javascript? Then you already know how to use the data engine. Whatever the format, a powerful query language lets you instantly test logic expressions and functions, speeding up development and simplifying deployment for unmatched data agility.

Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows that result in a saving of ~10 hours of engineering time/week and 10x faster reporting, analytics, and decision making. The platform supports 100+ ready-to-use integrations across Databases, SaaS Applications, Cloud Storage, SDKs, and Streaming Services. Over 500 data-driven companies spread across 35+ countries trust Hevo for their data integration needs. Try Hevo today and get your fully managed data pipelines up and running in just a few minutes.

At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer. Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments.

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.

Y42 is the first fully managed Modern DataOps Cloud. It is purpose-built to help companies easily design production-ready data pipelines on top of their Google BigQuery or Snowflake cloud data warehouse. Y42 provides native integration of best-of-breed open-source data tools, comprehensive data governance, and better collaboration for data teams. With Y42, organizations enjoy increased accessibility to data and can make data-driven decisions quickly and efficiently.

Monitor and control everything your data pipelines do with zero code changes. Monitor data and pipelines in motion to proactively prevent downtime and quickly root cause issues. Optimize pipeline runs and job performance to save costs and keep SLAs. Accelerate code deployments and platform upgrades while maintaining reliability and performance. Data & performance checks in line with pipeline runs. Checks on input data, before pipelines even run. Automatic preemption of runs. definity takes away the effort to build deep end-to-end coverage, so you are protected at every step, across every dimension. definity shifts observability to post-production to achieve ubiquity, increase coverage, and reduce manual effort. definity agents automatically run with every pipeline, with zero footprints. Unified view of data, pipelines, infra, lineage, and code for every data asset. Detect in run-time and avoid async checks. Auto-preempt runs, even on inputs.

Data Prep Runner (DPR) by QVIKPREP simplifies data prepping and streamlines data processing. Improve your business processes, easily compare data, and enhance data profiling. Save time prepping data for operational reporting, data analysis, and moving data between systems. Reduce risk on data integration project timelines and catch issues early through data profiling. Increase productivity for operations teams by automating data processing. Manage data prep easily and build a robust data pipeline. DPR provides checks based on past data for better accuracy. Drive transactions into your systems and use data to drive data driven test automation. DPR gets data where it needs to end up. Ensure data integration projects deliver on time. Uncover and tackle data issues early, instead of during test cycles. Validate your data with rules and repair data in the data pipeline. DPR makes comparing data between sources efficient with color-coded reports.

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.

Kestra is an open-source, event-driven orchestrator that simplifies data operations and improves collaboration between engineers and business users. By bringing Infrastructure as Code best practices to data pipelines, Kestra allows you to build reliable workflows and manage them with confidence. Thanks to the declarative YAML interface for defining orchestration logic, everyone who benefits from analytics can participate in the data pipeline creation process. The UI automatically adjusts the YAML definition any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is defined declaratively in code, even if some workflow components are modified in other ways.

Building real-time apps and services require lots of components running in concert: Kafka, VPC hosting, infrastructure as code, container orchestration, observability, CI/CD, persistent volumes, databases, and much more. The Quix platform takes care of all the moving parts. You just connect your data and start building. That’s it. No provisioning clusters or configuring resources. Use Quix connectors to ingest transaction messages streamed from your financial processing systems in a virtual private cloud or on-premise data center. All data in transit is encrypted end-to-end and compressed with G-Zip and Protobuf for security and efficiency. Detect fraudulent patterns with machine learning models or rule-based algorithms. Create fraud warning messages as troubleshooting tickets or display them in support dashboards.

Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data engineering tasks. Empower your data teams to make informed decisions confidently while saving costs and ensuring responsible self-service analytics. Speed up your analytics workflow by transforming datasets to answer ad-hoc questions and support operational dashboards. Empower everyone on your team with our SQL or Drag-and-Drop to transform your data in an intuitive and collaborative workspace. And best of all, everything happens in Snowflake. Datameer is designed and optimized for Snowflake to reduce data movement and increase platform adoption. Some of the problems Datameer solves: - Analytics is not accessible - Drowning in backlog - Long development

Event Hubs is a fully managed, real-time data ingestion service that’s simple, trusted, and scalable. Stream millions of events per second from any source to build dynamic data pipelines and immediately respond to business challenges. Keep processing data during emergencies using the geo-disaster recovery and geo-replication features. Integrate seamlessly with other Azure services to unlock valuable insights. Allow existing Apache Kafka clients and applications to talk to Event Hubs without any code changes—you get a managed Kafka experience without having to manage your own clusters. Experience real-time data ingestion and microbatching on the same stream. Focus on drawing insights from your data instead of managing infrastructure. Build real-time big data pipelines and respond to business challenges right away.

Cloud Composer's managed nature and Apache Airflow compatibility allows you to focus on authoring, scheduling, and monitoring your workflows as opposed to provisioning resources. End-to-end integration with Google Cloud products including BigQuery, Dataflow, Dataproc, Datastore, Cloud Storage, Pub/Sub, and AI Platform gives users the freedom to fully orchestrate their pipeline. Author, schedule, and monitor your workflows through a single orchestration tool—whether your pipeline lives on-premises, in multiple clouds, or fully within Google Cloud. Ease your transition to the cloud or maintain a hybrid data environment by orchestrating workflows that cross between on-premises and the public cloud. Create workflows that connect data, processing, and services across clouds to give you a unified data environment.

WinSQL is a powerful universal database management tool that is used by 90 percent of Fortune 500 companies and more than a million programmers and DBAs around the globe. WinSQL is a generic querying tool that connects to any relational database (RDBMS) for which an Open Database Connectivity (ODBC) driver is available, virtually all RDBMS on the market today. Connect to a variety of databases, including: heavy duty vendors Oracle, MS SQL Server, DB2, Sybase, Informix to lightweight backends like MS Access, DBase, and Text File. Generate royalty-free executables that can be used by your business users to run queries. These can be either static or dynamic queries that pull fresh data from the back-end. Export or simply open any query results into MS Excel with just a click of your mouse. You can even import an existing Excel spreadsheet to a database table by simply dragging an *.XSL file in the catalog tree.

ASKY - Database-like Power For Your CSV Files... Just Point-and-Click! Find & fix bad CSV data. Query. Get totals/avgs. Fast & easy! Database-like functionality... without the database hassles. ULTRA HIGH SPEED: ASKY flies through your large plain-text CSV data files thanks to optimized program code and design. EASY TO USE: Point-and-click easy - NO language or commands to learn. Just select your data files, a few settings, and click GO. POWERFUL: SQL databases?? Don't need them. Packed with tools, ASKY is industrial-strength. Work with UNLIMITED files/data size. Sift out the bad records from the good: Have data where the number of fields just don't line up? The SIFTER will separate out the bad stuff for you to straighten out. Fix them up: The UTILITIES section has specialized tools to move/replace data from one field to another, add/delete fields, and rearrange field order. Query it all: Use the point-and-click QUERY to pull records that meet your exact criteria

Amazon Managed Workflows for Apache Airflow (MWAA) is a managed orchestration service for Apache Airflow that makes it easier to set up and operate end-to-end data pipelines in the cloud at scale. Apache Airflow is an open-source tool used to programmatically author, schedule, and monitor sequences of processes and tasks referred to as “workflows.” With Managed Workflows, you can use Airflow and Python to create workflows without having to manage the underlying infrastructure for scalability, availability, and security. Managed Workflows automatically scales its workflow execution capacity to meet your needs, and is integrated with AWS security services to help provide you with fast and secure access to data.

A single, giant, secure Postgres database. Public and private data. Add data in seconds. Query across all the data. Share with one click. Click Upload, or simply drag your dataset onto bit.io to upload tables for your repos. Add friends, create teams, or share a link to your repo with specific access levels. Hopping around the site and see some data you like? Query it, whenever, wherever. If the repo is public, you can query the data in a snap. Here’s a few examples of the various ways to use data in bit.io. Secure by default, Stop accidentally leaving your database open to the internet with a default password, or no password at all. With bit.io, your data is secure in motion (with TLS/SSL) and at rest (encrypted on the disk). Revoke access with the click of a button rather than an arcane SQL statement. Check out our sample repo! feel free to play around and create your own repo using our data.