Alternatives to Dropbase

Rivery’s ETL platform consolidates, transforms, and manages all of a company’s internal and external data sources in the cloud. Key Features: Pre-built Data Models: Rivery comes with an extensive library of pre-built data models that enable data teams to instantly create powerful data pipelines. Fully managed: A no-code, auto-scalable, and hassle-free platform. Rivery takes care of the back end, allowing teams to spend time on mission-critical priorities rather than maintenance. Multiple Environments: Rivery enables teams to construct and clone custom environments for specific teams or projects. Reverse ETL: Allows companies to automatically send data from cloud warehouses to business applications, marketing clouds, CPD’s, and more.

The most accurate, complete, and timely data provides the best insight. Minitab Connect empowers data users across the enterprise with self service tools to transform diverse data into a network of data pipelines that feed analytics initiatives, foster collaboration and foster organizational-wide collaboration. Users can seamlessly combine and explore data from various sources, including databases, on-premise and cloud apps, unstructured data and spreadsheets. Automated workflows make data integration faster and provide powerful data preparation tools that allow for transformative insights. Data integration tools that are intuitive and flexible allow users to connect and blend data from multiple sources such as data warehouses, IoT devices and cloud storage.

QuerySurge is the smart Data Testing solution that automates the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Big Data (Hadoop & NoSQL) Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise Application/ERP Testing Features Supported Technologies - 200+ data stores are supported QuerySurge Projects - multi-project support Data Analytics Dashboard - provides insight into your data Query Wizard - no programming required Design Library - take total control of your custom test desig BI Tester - automated business report testing Scheduling - run now, periodically or at a set time Run Dashboard - analyze test runs in real-time Reports - 100s of reports API - full RESTful API DevOps for Data - integrates into your CI/CD pipeline Test Management Integration QuerySurge will help you: - Continuously detect data issues in the delivery pipeline - Dramatically increase data validation coverage - Leverage analytics to optimize your critical data - Improve your data quality at speed

Fivetran is the smartest method to replicate data into your warehouse. Our zero-maintenance pipeline is the only one that allows for a quick setup. It takes months of development to create this system. Our connectors connect data from multiple databases and applications to one central location, allowing analysts to gain profound insights into their business.

Discover insights to boost sales growth with code-free, fully automated data pipelines to data lakes and cloud warehouses. Flexible, standards-based platform that unifies sales and marketing data to automate insights and smarter growth. Say goodbye to manual data downloads that are expensive and messy. You will always know exactly what you'll be charged and only pay what you actually use. Access to data-ready data is a great way to fuel your tools. We only work with official APIs as certified developers. Data pipelines from well-known sources are easy to use. These data pipelines are pre-built, pre-transformed and ready to go. Unlock data from Amazon Vendor Central and Amazon Seller Central, Instagram Stories. Teams can quickly and economically realize the value of their data with code-free data ingestion and transformation. Databricks, Amazon Redshift and other trusted data destinations like Databricks or Amazon Redshift ensure that data is always protected.

Panoply makes it easy to store, sync and access all your business information in the cloud. With built-in integrations to all major CRMs and file systems, building a single source of truth for your data has never been easier. Panoply is quick to set up and requires no ongoing maintenance. It also offers award-winning support, and a plan to fit any need.

In-Memory Computing Platform. Digital world is different. Microseconds are important. The world's most important organizations rely on us for powering their most sensitive applications at scale. If they meet the current requirement for immediate access, new data-enabled apps can transform your business. Hazelcast solutions can be used to complement any database and deliver results that are much faster than traditional systems of record. Hazelcast's distributed architecture ensures redundancy and continuous cluster up-time, as well as always available data to support the most demanding applications. The capacity grows with demand without compromising performance and availability. The cloud delivers the fastest in-memory data grid and third-generation high speed event processing.

Data integration, backup, management and connectivity. Cloud-based platform that is 100 percent cloud-based. It offers cloud agility and scalability. No manual upgrades or deployment required. There is no coding wizard that can meet the needs of both IT professionals as well as business users without technical skills. Skyvia suites are available in flexible pricing plans that can be customized for any product. To automate workflows, connect your cloud, flat, and on-premise data. Automate data collection from different cloud sources to a database. In just a few clicks, you can transfer your business data between cloud applications. All your cloud data can be protected and kept secure in one location. To connect with multiple OData consumers, you can share data instantly via the REST API. You can query and manage any data via the browser using SQL or the intuitive visual Query Builder.

Osmos allows customers to easily clean up their data files and import them directly into the operational system without having to write a single line of code. Our core product is powered by an AI-powered data transformer engine that allows users to map, validate and clean data in just a few clicks. Your account will be charged/credited according to the remaining percentage of the billing cycle at the time that the plan was modified. An eCommerce company automates the ingestion of product catalogue data from multiple vendors and distributors into their database. A manufacturing company automates the ingestion of purchase orders via email attachments into Netsuite. Automatically clean up and format the incoming data to your destination schema. Never again deal with custom scripts or spreadsheets.

Lyftrondata can help you build a governed lake, data warehouse or migrate from your old database to a modern cloud-based data warehouse. Lyftrondata makes it easy to create and manage all your data workloads from one platform. This includes automatically building your warehouse and pipeline. It's easy to share the data with ANSI SQL, BI/ML and analyze it instantly. You can increase the productivity of your data professionals while reducing your time to value. All data sets can be defined, categorized, and found in one place. These data sets can be shared with experts without coding and used to drive data-driven insights. This data sharing capability is ideal for companies who want to store their data once and share it with others. You can define a dataset, apply SQL transformations, or simply migrate your SQL data processing logic into any cloud data warehouse.

Upsolver makes it easy to create a governed data lake, manage, integrate, and prepare streaming data for analysis. Only use auto-generated schema on-read SQL to create pipelines. A visual IDE that makes it easy to build pipelines. Add Upserts to data lake tables. Mix streaming and large-scale batch data. Automated schema evolution and reprocessing of previous state. Automated orchestration of pipelines (no Dags). Fully-managed execution at scale Strong consistency guarantee over object storage Nearly zero maintenance overhead for analytics-ready information. Integral hygiene for data lake tables, including columnar formats, partitioning and compaction, as well as vacuuming. Low cost, 100,000 events per second (billions every day) Continuous lock-free compaction to eliminate the "small file" problem. Parquet-based tables are ideal for quick queries.

For AI and cloud analytics, you can ingest, prepare, or process data pipelines at large scale. Informatica's extensive data engineering portfolio includes everything you need to process big data engineering workloads for AI and analytics. This includes robust data integration, streamlining, masking, data preparation, and data quality.

Stripe Data Pipeline allows you to send all your Stripe data and reports directly to Amazon Redshift or Snowflake in just a few clicks. You can combine your Stripe data with business data to close your books quicker and gain more business insight. Install Stripe Data Pipeline in minutes. You will automatically receive your Stripe data, reports and data warehouse on an ongoing basis. To speed up your financial close and gain better insight, create a single source for truth. Find the best-performing payment methods and analyze fraud by location. Without the need for a third-party extract transform and load (ETL), you can send your Stripe data directly into your data warehouse. Stripe has a built-in pipeline that can handle ongoing maintenance. No matter how many data points you have, your data will always be complete and accurate. Automate data delivery at scale, minimize security risk, and avoid data outages.

Spectra is a DataOps platform that allows you to create and manage complex data pipelines. It uses a low-code user interface and domain-specific features to deliver data solutions quickly and efficiently. Maximize your ROI by reducing costs and achieving faster time-to market and time-to value. Access to more than 50 native connectors that provide data processing functions like sort, lookup, join, transform and grouping. You can process structured, semi-structured and unstructured data in batch, or real-time streaming data. Managing data processing and pipeline efficiently will help you optimize and control your infrastructure spending. Spectra's pushdown capabilities with Snowflake Data Cloud enable enterprises to take advantage of Snowflake's high performance processing power and scalable architecture.

Cloud Foundry and Kubernetes support microservice-based streaming and batch processing. Spring Cloud Data Flow allows you to create complex topologies that can be used for streaming and batch data pipelines. The data pipelines are made up of Spring Boot apps that were built using the Spring Cloud Stream and Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a variety of data processing use cases including ETL, import/export, event streaming and predictive analytics. Spring Cloud Data Flow server uses Spring Cloud Deployer to deploy data pipelines made from Spring Cloud Stream and Spring Cloud Task applications onto modern platforms like Cloud Foundry or Kubernetes. Pre-built stream and task/batch starter applications for different data integration and processing scenarios allow for experimentation and learning. You can create custom stream and task apps that target different middleware or services using the Spring Boot programming model.

Data is essential to improve the efficiency, profitability, and experience of streaming video. Datazoom allows video publishers to manage distributed architectures more efficiently by centralizing, standardizing and integrating data in real time. This creates a more powerful data pipeline, improves observability and adaptability, as well as optimizing solutions. Datazoom is a video data platform which continuously gathers data from endpoints such as a CDN or video player through an ecosystem of collectors. Once the data has been gathered, it is normalized with standardized data definitions. The data is then sent via available connectors to analytics platforms such as Google BigQuery, Google Analytics and Splunk. It can be visualized using tools like Looker or Superset. Datazoom is your key for a more efficient and effective data pipeline. Get the data you need right away. Do not wait to get your data if you have an urgent issue.

To transform your business's results, use cutting-edge data science tools. SynctacticAI creates a successful adventure for your business by leveraging advanced algorithms, data science tools and systems to extract knowledge from both structured and unstructured data sets. Sync Discover allows you to find the right piece of data from any source, whether it is structured or unstructured, batch or real-time. It also organizes large amounts of data in a systematic way. Sync Data allows you to process your data at scale. With Sync Data's simple navigation interface, drag and drop, it is easy to set up your data pipelines and schedule data processing. Machine learning makes learning from data easy with its power. Sync Learn will automatically take care of the rest by selecting the target variable or feature and any of our prebuilt models.

Tarsal is infinitely scalable, so as your company grows, Tarsal will grow with you. Tarsal allows you to easily switch from SIEM data to data lake data with just one click. Keep your SIEM, and migrate analytics to a data-lake gradually. Tarsal doesn't require you to remove anything. Some analytics won't work on your SIEM. Tarsal can be used to query data in a data lake. Your SIEM is a major line item in your budget. Tarsal can be used to send some of this data to your data lake. Tarsal is a highly scalable ETL pipeline designed for security teams. With just a few mouse clicks you can easily exfiltrate terabytes with instant normalization and route the data to your destination.

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. 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 Pipeline Alerts to Monitor Data in Real-Time

The fastest way to prepare data and build data pipelines in cloud. Trifacta offers visual and intelligent guidance to speed up data preparation to help you get to your insights faster. Poor data quality can cause problems in any analytics project. Trifacta helps you to understand your data and can help you quickly and accurately clean up it. All the power without any code. Trifacta offers visual and intelligent guidance to help you get to the right insights faster. Manual, repetitive data preparation processes don't scale. Trifacta makes it easy to build, deploy, and manage self-service data networks in minutes instead of months.

Microsoft Graph is the gateway for your organization to access Microsoft 365 data in order to improve productivity, identity and security. Microsoft Graph Data Connect allows developers to copy selected Microsoft 365 datasets in a secure, scalable manner into Azure data stores. It's perfect for training machine-learning and AI models to uncover rich organizational insights. Copy data from a Microsoft 365 tenant at scale and move it into Azure Data Factory directly without writing code. In just a few easy steps, you can get the data that you need delivered to your application in a repeatable manner. Microsoft Graph Data Connect's granular consent model allows you to control how your organization's information is accessed. Developers must specify what data or filters their application will access. Administrators must also explicitly approve access to Microsoft 365 data.

BigBI allows data specialists to create their own powerful Big Data pipelines interactively and efficiently, without coding! BigBI unleashes Apache Spark's power, enabling: Scalable processing of Big Data (upto 100X faster). Integration of traditional data (SQL and batch files) with new data Sources include semi-structured data (JSON, NoSQL DBs and Hadoop) as well as unstructured data (text, audio, video). Integration of streaming data and cloud data, AI/ML graphs & graphs

It is difficult, costly, and risky to connect systems to scale AI projects. Pandio's cloud native managed solution simplifies data pipelines to harness AI's power. You can access your data from any location at any time to query, analyze, or drive to insight. Big data analytics without the high cost Enable data movement seamlessly. Streaming, queuing, and pub-sub with unparalleled throughput, latency and durability. In less than 30 minutes, you can design, train, deploy, and test machine learning models locally. Accelerate your journey to ML and democratize it across your organization. It doesn't take months or years of disappointment. Pandio's AI driven architecture automatically orchestrates all your models, data and ML tools. Pandio can be integrated with your existing stack to help you accelerate your ML efforts. Orchestrate your messages and models across your organization.

Our flow builder makes it easy to automate your business process. You can focus on the things that matter to you. You can create your own service providers for email and sms. Our advanced query builder allows you to query and analyze csv files with any field numbers or rows. We keep the csv files that you upload to our platform in a secure vault and account activity logs. We do not store any data records that you request to be processed.

With your own data shop, create new revenue streams from the data you already have. Narrative focuses on the fundamental principles that make buying or selling data simpler, safer, and more strategic. You must ensure that the data you have access to meets your standards. It is important to know who and how the data was collected. Access new supply and demand easily for a more agile, accessible data strategy. You can control your entire data strategy with full end-to-end access to all inputs and outputs. Our platform automates the most labor-intensive and time-consuming aspects of data acquisition so that you can access new data sources in days instead of months. You'll only ever have to pay for what you need with filters, budget controls and automatic deduplication.

SlashDB automatically generates a XML, JSON, and CSV REST APIs from relational databases. It also allows users to browse through data using HTML. This allows them to find available tables, databases, queries, and API endpoints. SlashDB can provide a central access point for multiple databases. This effectively forms an all-encompassing resource-oriented architectural (ROA), which serves as an API gateway to the data. SlashDB creates a web service shell to access each of your databases by translating relational database structures into a logic library of uniform resource locators. Every piece of data, regardless of its type (scalar value or nested structure), has its own unique identifying URL.

CData Sync is a universal database pipeline that automates continuous replication between hundreds SaaS applications & cloud-based data sources. It also supports any major data warehouse or database, whether it's on-premise or cloud. Replicate data from hundreds cloud data sources to popular databases destinations such as SQL Server and Redshift, S3, Snowflake and BigQuery. It is simple to set up replication: log in, select the data tables you wish to replicate, then select a replication period. It's done. CData Sync extracts data iteratively. It has minimal impact on operational systems. CData Sync only queries and updates data that has been updated or added since the last update. CData Sync allows for maximum flexibility in partial and full replication scenarios. It ensures that critical data is safely stored in your database of choice. Get a 30-day trial of the Sync app for free or request more information at www.cdata.com/sync

SQL Manager for PostgreSQL offers a variety of visual editors that make it easy to edit any database or server object. Visually create complex queries or use the editor tool to format code, code folding, and other useful features. You can customize the editor view to suit your needs. You can easily export query results to any format. You can manipulate data using filters, grouping, sorting, and sub-levels. You can view it as JSON or Image, and export it to any of the popular formats such as XLSX and CSV. Advanced import from MS Excel, MS Access and DBF, XML. ODF, TXT. CSV. You can choose the method to add data to existing tables and process or replace the inserted data. Data export to a variety formats including MS Excel, MS Word and MS Access.

Data-driven organizations are constantly striving to become more data-driven. They build dashboards, analytics and data pipelines throughout the modern data stack. Unfortunately, data reliability issues are a major problem for most organizations, leading to poor decisions and a lack of trust in the data as an organisation, which directly impacts their bottom line. Resolving complex issues is a time-consuming and manual process that involves multiple teams, all of whom rely on tribal knowledge. They manually reverse-engineer complex data pipelines across various platforms to identify the root-cause and to understand the impact. Pantomath, a data pipeline traceability and observability platform, automates data operations. It continuously monitors datasets across the enterprise data ecosystem, providing context to complex data pipes by creating automated cross platform technical pipeline lineage.

Gravity's mission, to make streaming data from over 100 sources easy and only pay for what you use, is Gravity. Gravity eliminates the need for engineering teams to deliver streaming pipelines. It provides a simple interface that allows streaming to be set up in minutes using event data, databases, and APIs. All members of the data team can now create with a simple point-and-click interface so you can concentrate on building apps, services, and customer experiences. For quick diagnosis and resolution, full Execution trace and detailed error messages are available. We have created new, feature-rich methods to help you quickly get started. You can set up bulk, default schemas, and select data to access different job modes and statuses. Our intelligent engine will keep your pipelines running, so you spend less time managing infrastructure and more time analysing it. Gravity integrates into your systems for notifications, orchestration, and orchestration.

All your ELT data pipelines, including custom ones, will be up and running in minutes. Your team can focus on innovation and insights. Unify all your data integration pipelines with one open-source ELT platform. Airbyte can meet all the connector needs of your data team, no matter how complex or large they may be. Airbyte is a data integration platform that scales to meet your high-volume or custom needs. From large databases to the long tail API sources. Airbyte offers a long list of connectors with high quality that can adapt to API and schema changes. It is possible to unify all native and custom ELT. Our connector development kit allows you to quickly edit and create new connectors from pre-built open-source ones. Transparent and scalable pricing. Finally, transparent and predictable pricing that scales with data needs. No need to worry about volume. No need to create custom systems for your internal scripts or database replication.

Crux is used by the most powerful people to increase external data integration, transformation and observability, without increasing their headcount. Our cloud-native data technology accelerates the preparation, observation, and delivery of any external dataset. We can guarantee you receive high-quality data at the right time, in the right format, and in the right location. Automated schema detection, delivery schedule inference and lifecycle management are all tools that can be used to quickly build pipelines from any external source of data. A private catalog of linked and matched data products will increase your organization's discoverability. To quickly combine data from multiple sources and accelerate analytics, enrich, validate, and transform any data set, you can enrich, validate, or transform it.

Reactive Programming can be used on the back-end without the use of complex languages or cumbersome frameworks. Triggers, Actors, and Event Collections make it simple to build data pipelines. They also allow you to work with data streams using simple SQL syntax. This makes it easier for users to avoid the complexities of distributed systems development. Extensible data modeling is a key feature. It supports rich semantics, schema definition, and allows for real-world objects to be represented. Data shaping rules and validation on the fly support a variety of formats, including JSON and XML. This allows you to easily define and evolve your schema while keeping up with changing business requirements. If you can describe it, we can query it. Are you familiar with Javascript and SQL? You already know how to use the database engine. No matter what format you use, a powerful query engine allows you to instantly test logic expressions or functions. This speeds up development and simplifies deployment for unmatched data agility.

AnySQL Maestro, a multi-purpose admin tool that allows database management, control, and development, is the best. These are the key features: Support for any database engine (SQL Server or MySQL, Access, etc. - Database Designer Data management: Editing, grouping, sorting, and filtering capabilities - Handy SQL Editor that supports code folding and multi-threading - Visual query builder Data export/import to/from most popular formats - Powerful BLOB Editor/Viewer You can also edit and execute SQL scripts, create visual diagrams for numeric information, and compose OLAP cubes with the powerful tools provided by the application.

K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.

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.

Y42 is the first fully managed Modern DataOps Cloud for production-ready data pipelines on top of Google BigQuery and Snowflake.

AWS Data Pipeline, a web service, allows you to reliably process and transfer data between different AWS compute- and storage services as well as on premises data sources at specific intervals. AWS Data Pipeline allows you to access your data wherever it is stored, transform it and process it at scale, then transfer it to AWS services like Amazon S3, Amazon RDS and Amazon DynamoDB. AWS Data Pipeline makes it easy to create complex data processing workloads that can be fault-tolerant, repeatable, high-availability, and reliable. You don't need to worry about resource availability, managing intertask dependencies, retrying transient errors or timeouts in individual task, or creating a fail notification system. AWS Data Pipeline allows you to move and process data previously stored in on-premises silos.

Etleap was created on AWS to support Redshift, snowflake and S3/Glue data warehouses and data lakes. Their solution simplifies and automates ETL through fully-managed ETL as-a-service. Etleap's data wrangler allows users to control how data is transformed for analysis without having to write any code. Etleap monitors and maintains data pipes for availability and completeness. This eliminates the need for constant maintenance and centralizes data sourced from 50+ sources and silos into your database warehouse or data lake.

Data Prep Runner by QVIKPREP simplifies and streamlines data processing. You can improve your business processes, compare data and enhance data profiling. Preparing data for operational reporting, data analytics, and data movement between systems can save you time. Data profiling can help you catch problems early and reduce risk in data integration projects. Automating data processing can increase productivity in operations teams. Data prep is easy and you can build a robust data pipeline. DPR allows you to run checks based on historical data to improve accuracy. Transform transactions into your systems and use data for data-driven test automation. DPR ensures data gets to the right place. Ensure data integration projects deliver on time. Instead of waiting for test cycles, uncover and address data issues before they become a problem. Validate your data using rules and repair data within the data pipeline. DPR makes it easy to compare data between sources with color-coded reports.

Many components are required to build real-time apps or services. These components include Kafka and VPC hosting, infrastructure code, container orchestration and observability. The Quix platform handles all the moving parts. Connect your data and get started building. That's it. There are no provisioning clusters nor configuring resources. You can use Quix connectors for ingesting transaction messages from your financial processing system in a virtual private clouds or on-premise data centers. For security and efficiency, all data in transit is encrypted from the beginning and compressed using Protobuf and G-Zip. Machine learning models and rule-based algorithms can detect fraudulent patterns. You can display fraud warning messages in support dashboards or as troubleshooting tickets.

Kestra is a free, open-source orchestrator based on events that simplifies data operations while improving collaboration between engineers and users. Kestra brings Infrastructure as Code to data pipelines. This allows you to build reliable workflows with confidence. The declarative YAML interface allows anyone who wants to benefit from analytics to participate in the creation of the data pipeline. The UI automatically updates the YAML definition whenever you make changes to a work flow via the UI or an API call. The orchestration logic can be defined in code declaratively, even if certain workflow components are modified.

Event Hubs is a fully managed, real time data ingestion service that is simple, reliable, and scalable. Stream millions of events per minute from any source to create dynamic data pipelines that can be used to respond to business problems. Use the geo-disaster recovery or geo-replication features to continue processing data in emergencies. Integrate seamlessly with Azure services to unlock valuable insights. You can allow existing Apache Kafka clients to talk to Event Hubs with no code changes. This allows you to have a managed Kafka experience, without the need to manage your own clusters. You can experience real-time data input and microbatching in the same stream. Instead of worrying about infrastructure management, focus on gaining insights from your data. Real-time big data pipelines are built to address business challenges immediately.

Datameer is your go-to data tool for exploring, preparing, visualizing, and cataloging Snowflake insights. From exploring raw datasets to driving business decisions – an all-in-one tool.

Amazon Managed Workflows (MWAA), a managed orchestration service that allows Apache Airflow to create and manage data pipelines in the cloud at scale, is called Amazon Managed Workflows. Apache Airflow is an open source tool that allows you to programmatically create, schedule, and monitor a series of processes and tasks, also known as "workflows". Managed Workflows lets you use Airflow and Python to create workflows and not have to manage the infrastructure for scalability availability and security. Managed Workflows automatically scales the workflow execution to meet your requirements. It is also integrated with AWS security services, which allows you to have fast and secure access.

Cloud Composer's managed nature with Apache Airflow compatibility allow you to focus on authoring and scheduling your workflows, rather than provisioning resources. Google Cloud products include BigQuery, Dataflow and Dataproc. They also offer integration with Cloud Storage, Cloud Storage, Pub/Sub and AI Platform. This allows users to fully orchestrate their pipeline. You can schedule, author, and monitor all aspects of your workflows using one orchestration tool. This is true regardless of whether your pipeline lives on-premises or in multiple clouds. You can make it easier to move to the cloud, or maintain a hybrid environment with workflows that cross over between the public cloud and on-premises. To create a unified environment, you can create workflows that connect data processing and services across cloud platforms.

ASKY - Database-like Power for Your CSV Files... Just Point and Click! Fix & find bad CSV data. Ask. Get totals/avgs. It's fast and easy! Database-like functionality... without all the database hassles. ULTRA HIGH SPEEDY: ASKY can fly through large plain-text CSV files thanks to optimized program code design. EASY TO USE: No language or commands to learn. Select your data files and make a few settings before clicking GO. SQL databases? They are not necessary. ASKY is industrial-strength, packed with tools. Use UNLIMITED files/data sizes. Sort the bad data from the good: Do you have data that doesn't line up? The SIFTER will help you separate the bad stuff. You can fix them: The UTILITIES section contains specialized tools that allow you to move/replace data, add/delete field information, rearrange field order, and even delete fields. You can query it all: Use point-and-click "QUERY" to pull records that match your exact criteria

WinSQL, a powerful database management tool, is used by 90% of Fortune 500 companies as well as more than a million programmers worldwide. WinSQL can connect to virtually any relational database (RDBMS), for which an Open Database Connectivity driver (ODBC), is available.

Processing and storage of tabular datasets, e.g. CSV or Parquet files. Large result set transfer to client. Large client/server installations are required for central enterprise data warehousing. Multiple concurrent processes can be used to write to a single database. DuckDB is a relational database management software (RDBMS). It is a system to manage data stored in relational databases. A relation is basically a mathematical term for a particular table. Each table is a named collection. Each row in a table has the same number of named columns. Each column is of a particular data type. Schemas are used to store tables, and a collection can be accessed to access the entire database.

A single, giant, secure Postgres database. Public and private data. In seconds, you can add data. All data can be accessed. One click to share. Click Upload or drag your data onto bit.io for uploading tables to your repos. You can add friends, teams, or share a link from your repo with restricted access levels. You want to browse the site and find some data that interests you? You can query it from anywhere and anytime. If the repo is publicly available, you can quickly query the data. Here are some examples of how bit.io data can be used. Secure by default. Stop leaving your database exposed to the internet accidentally with a default password or no password. Bit.io makes your data secure in motion (with SSL/TLS) and at rest (encrypted to the disk). You can revoke access by clicking a button, not using an obscure SQL statement. Check out our sample repo. Feel free to experiment with our data and create your own repo.