Search Results for "sql python connector"
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Showing 29 open source projects for "sql python connector"
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1
Airbyte
Data integration platform for ELT pipelines from APIs, databases
We believe that only an open-source solution to data movement can cover the long tail of data sources while empowering data engineers to customize existing connectors. Our ultimate vision is to help you move data from any source to any destination. Airbyte already provides the largest catalog of 300+ connectors for APIs, databases, data warehouses, and data lakes. Moving critical data with Airbyte is as easy and reliable as flipping on a switch. Our teams process more than 300 billion rows... -
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Quadratic
Data science spreadsheet with Python & SQL
..., Pandas, SQL, JS, Excel Formulas, etc). Quadratic has no environment to configure. The grid runs entirely in the browser with no backend service. This makes our grids completely portable and very easy to share. Quadratic has Python library support built-in. Bring the latest open-source tools directly to your spreadsheet. Quickly write code and see the output in full detail. No more squinting into a tiny terminal to see your data output. -
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gusty
Making DAG construction easier
gusty allows you to control your Airflow DAGs, Task Groups, and Tasks with greater ease. gusty manages collections of tasks, represented as any number of YAML, Python, SQL, Jupyter Notebook, or R Markdown files. A directory of task files is instantly rendered into a DAG by passing a file path to gusty's create_dag function. gusty also manages dependencies (within one DAG) and external dependencies (dependencies on tasks in other DAGs) for each task file you define. All you have to do is provide... -
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Mage.ai
Build, run, and manage data pipelines for integrating data
Open-source data pipeline tool for transforming and integrating data. The modern replacement for Airflow. Effortlessly integrate and synchronize data from 3rd party sources. Build real-time and batch pipelines to transform data using Python, SQL, and R. Run, monitor, and orchestrate thousands of pipelines without losing sleep. Have you met anyone who said they loved developing in Airflow? That’s why we designed an easy developer experience that you’ll enjoy. Each step in your pipeline... -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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airda
airda(Air Data Agent
airda(Air Data Agent) is a multi-smart body for data analysis, capable of understanding data development and data analysis needs, understanding data, generating data-oriented queries, data visualization, machine learning and other tasks of SQL and Python codes. -
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Apache RocketMQ
Distributed messaging and streaming platform with low latency
Apache RocketMQ is a distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability. Messaging patterns including publish/subscribe, request/reply and streaming. Financial grade transactional message. Built-in fault tolerance and high availability configuration options base on DLedger. A variety of cross language clients, such as Java, C/C++, Python, Go. Pluggable transport protocols, such as TCP, SSL, AIO. Built... -
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SageMaker Spark Container
Docker image used to run data processing workloads
Apache Spark™ is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. The SageMaker Spark Container is a Docker image used to run batch data... -
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AWS SDK for pandas
Easy integration with Athena, Glue, Redshift, Timestream, Neptune
... boilerplate. It also supports Redshift, OpenSearch, and other services, enabling ETL tasks that blend SQL engines and Python transformations. Operational helpers handle IAM, sessions, and concurrency while exposing knobs for encryption, versioning, and catalog consistency. The result is a productive workflow that keeps your analytics in Python while leveraging AWS-native storage and query engines at scale. -
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Siddhi Core Libraries
Stream Processing and Complex Event Processing Engine
... to various endpoints in real time. Agile development experience with SQL-like query language and graphical drag-and-drop editor supporting event simulation. Lightweight runtime that can natively run on Kubernetes, Docker, VM, or bare metal, and embedded in any Java or Python application. Scalable, and highly available distributed event processing on Kubernetes, with NATS Streaming and Siddhi Kubernetes Operator. -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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10
Pentaho
Pentaho offers comprehensive data integration and analytics platform.
Pentaho couples data integration with business analytics in a modern platform to easily access, visualize and explore data that impacts business results. Use it as a full suite or as individual components that are accessible on-premise, in the cloud, or on-the-go (mobile). Pentaho enables IT and developers to access and integrate data from any source and deliver it to your applications all from within an intuitive and easy to use graphical tool. The Pentaho Enterprise Edition Free Trial... -
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Swiple
Swiple enables you to easily observe, understand, validate data
Swiple is an automated data monitoring platform that helps analytics and data engineering teams seamlessly monitor the quality of their data. With automated data analysis and profiling, scheduling and alerting, teams can resolve data quality issues before they impact mission critical resources. Experience hassle-free integration with Swiple's zero-infrastructure and zero-code setup. Seamlessly incorporate data quality checks into your existing workflows without any coding or infrastructure... -
12
SQLBucket
Lightweight library to write, orchestrate and test your SQL ETL
... with the project_folder parameter. That folder will contain all your SQL ETL. The python file where you create your SQLBucket object is also a good place to instantiate your command line interface. -
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Spark.jl
Julia binding for Apache Spark
A Julia interface to Apache Spark. Spark.jl provides an interface to Apache Spark™ platform, including SQL / DataFrame and Structured Streaming. It closely follows the PySpark API, making it easy to translate existing Python code to Julia. Spark.jl supports multiple cluster types (in client mode), and can be considered as an analog to PySpark or RSpark within the Julia ecosystem. It supports running within on-premise installations, as well as hosted instances such as Amazon EMR and Azure... -
14
DataStation Community Edition
App to easily query, script, and visualize data from every database
DataStation is an open-source data IDE for developers. It allows you to easily build graphs and tables with data pulled from SQL databases, logging databases, metrics databases, HTTP servers, and all kinds of text and binary files. Need to join or munge data? Write embedded scripts as needed in languages like Python, JavaScript, R or SQL. All in one application. Build reports with graphs, charts and tables. Script against data. Cross-platform: Windows, macOS, and Linux. Easily fetch your data... -
15
Cosmos DB Spark
Apache Spark Connector for Azure Cosmos DB
Azure Cosmos DB Spark is the official connector for Azure CosmosDB and Apache Spark. The connector allows you to easily read to and write from Azure Cosmos DB via Apache Spark DataFrames in Python and Scala. It also allows you to easily create a lambda architecture for batch-processing, stream-processing, and a serving layer while being globally replicated and minimizing the latency involved in working with big data. -
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CloverDX
Design, automate, operate and publish data pipelines at scale
.... Simple data manipulation jobs can be created visually. More complex business logic can be implemented using Clover's domain-specific-language CTL, in Java or languages like Python or JavaScript. Through its DataServices functionality, it allows to quickly turn data pipelines into REST API endpoints. The platform allows to easily scale your data job across multiple cores or nodes/machines. Supports Docker/Kubernetes deployments and offers AWS/Azure images in their respective marketplace -
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Data Migrator for Oracle
Migrate/Copy your data between Oracle database and 13 major DBs.
Command line data Copy/Migration tool for Oracle. Supports Oracle 7.3, Oracle 8i, Oracle 9i, Oracle 10G, Oracle 11G and 13 major databases. 1. Exadata 2. Sybase ASE 3. Informix Innovator C 4. Sybase SQL Anywhere 5. DB2 UDB 6. CSV 7. SQLServer 8. MariaDB 9. Sybase IQ 10. PostgreSQL 11. MySQL 12. Informix IDS 13. TimesTen -
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CSV*Loader PRO (Windows command line)
Loads CSV file to14 databases
Windows command line tool for CSV data load to 14 relational stores. -
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CSV*Extractor Pro (Windows command line)
Spool you scalar data in CSV format from 14 major Databases.
Command line tool for data export from major relational data stores (RDBMS). DB2 Advanced Enterprise Server DB2 Advanced Workgroup Server DB2 Developer Edition DB2 Enterprise Server DB2 Express DB2 Express C DB2 Workgroup Server Exadata Infobright Informix IDS Informix Innovator C MariaDB MySQL Oracle Oracle XE PostgreSQL SAP Sybase ASE SQL Lite SQL Server Enterprise SQL Server Express Sybase IQ Sybase SQL Anywhere TimesTen -
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DataMule
Extract-Copy-Load (ECL) tool for 14 databases.
Extract, Copy and Load operations for: 1. Sybase ASE 2. Informix Innovator C 3. Sybase SQL Anywhere 4. DB2 UDB 5. SQLServer 6. MariaDB 7. Sybase IQ 8. PostgreSQL 9. MySQL 10. Informix IDS 11. TimesTen 12. Oracle 13. SQL Lite 14. Exadata Total 224 data copy vectors. CSV -> DB. DB->DB DB->CSV -
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Data Migration Tools for RDBMS
DataMigrator for 14 major databases
Touch and go Windows command line data migration tool for 14 databases: 1. Sybase ASE 2. Informix Innovator C 3. Sybase SQL Anywhere 4. DB2 UDB 5. SQLServer 6. MariaDB 7. Sybase IQ 8. PostgreSQL 9. MySQL 10. Informix IDS 11. TimesTen 12. Oracle 13. SQL Lite 14. Exadata -
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SQLServer ->SQLServer Data Migrator
Copy data between your SQLServer instances
Ad-hoc data replication for SQLServer 2005,2008,2010 and 2012. Touch-and-go design requires you to provide just login info, query file with your SQL and target table name. -
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DataCopy For SQLServer
Data Copy tool for SQL Server and Oracle
Migrate your data from SQLServer to Oracle without creating single dump file. Input is a SQLServer query file defining dataset you want to copy to Oracle. Target table has to exist for copy to go through. Turbo mode offers 5x copy performance improvement. -
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CSV*Loader for Oracle
Simplified CSV turbo loader to Oracle
Tired of writing control files? No problem! CSV*Loader will generate control file for SQL*Loader. Too slow? No problem! CSV*Loader turbo mode may load it 10x faster to your Oracle database than your good old Perl::DBI script. -
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A tool that parses SQL Select statements and generates a diagram. The diagram shows parts of the underlying SQL directly in the diagram. For example x=30 , GROUP BY (year), HAVING MIN(age) > 18. It is easy to see cartesian joins and/or loops.
